diff --git a/.DS_Store b/.DS_Store index abf9d3d..0597325 100644 Binary files a/.DS_Store and b/.DS_Store differ diff --git a/.gitignore b/.gitignore index 2cf8102..58888ac 100644 --- a/.gitignore +++ b/.gitignore @@ -1,4 +1,5 @@ __pycache__/ .DS_Store environmental_insights_visulisations/ -ipynb_checkpoints/ \ No newline at end of file +ipynb_checkpoints/ +dist/ \ No newline at end of file diff --git a/.ipynb_checkpoints/LICENSE-checkpoint b/.ipynb_checkpoints/LICENSE-checkpoint deleted file mode 100644 index f288702..0000000 --- a/.ipynb_checkpoints/LICENSE-checkpoint +++ /dev/null @@ -1,674 +0,0 @@ - GNU GENERAL PUBLIC LICENSE - Version 3, 29 June 2007 - - Copyright (C) 2007 Free Software Foundation, Inc. - Everyone is permitted to copy and distribute verbatim copies - of this license document, but changing it is not allowed. - - Preamble - - The GNU General Public License is a free, copyleft license for -software and other kinds of works. - - The licenses for most software and other practical works are designed -to take away your freedom to share and change the works. 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If your program is a subroutine library, you -may consider it more useful to permit linking proprietary applications with -the library. If this is what you want to do, use the GNU Lesser General -Public License instead of this License. But first, please read -. diff --git a/.ipynb_checkpoints/data-checkpoint.py b/.ipynb_checkpoints/data-checkpoint.py deleted file mode 100644 index 7fa64d5..0000000 --- a/.ipynb_checkpoints/data-checkpoint.py +++ /dev/null @@ -1,441 +0,0 @@ -import geopandas as gpd -import pandas as pd -import os -import overpy -from scipy.spatial import cKDTree -from shapely.geometry import Point -from shapely.geometry import LineString -import numpy as np -import itertools -from operator import itemgetter -import pandas as pd -pd.options.mode.chained_assignment = None # default='warn' - -def download_file_data(filename): - """ - Checks if a file that has been requested has been downloaded and if it has then it will download the file - - Parameters: - filename (string): The dataset filename to be downloaded from the remote server - """ - print("Checking existence of file: " + str(filename)) - - -def air_pollution_concentration_typical_day_real_time_united_kingdom(month, day_of_Week, hour): - """ - Retrieve the typical day complete dataset for the UK for a given time - - Parameters: - month (int): An int to represent the month of interest, 1 being january, and 12 being December. - day_of_Week (string): A string to represent the day of week of interest in the form of "Friday". - hour (int): An int to represent the hour of interest, 0 being midnight, and 23 being the final possible hour of the day - - Returns: - geodataframe: A geodataframe of the typical dataset for the UK for a given tiem of interest - """ - desired_filename = "environmental_insights_data/air_pollution/uk_typical_day/Month_"+str(month)+"-Day_"+day_of_Week+"-Hour_"+str(hour)+".feather" - if not os.path.isfile(desired_filename): - #download_file_data(time) - pass - - air_pollution_data = pd.read_feather(desired_filename) - air_pollution_data = air_pollution_data.rename(columns={"Grid ID":"UK Model Grid ID"}) - return air_pollution_data - -def air_pollution_concentration_nearest_point_typical_day_united_kingdom(month, day_of_Week, hour, latitude, longitude, uk_grids): - """ - Retrieve a single air pollution concentration data point predicted based on the UK data, based on the cloest point given by the latitude and longitude. - - Parameters: - Parameters: - month (int): An int to represent the month of interest, 1 being january, and 12 being December. - day_of_Week (string): A string to represent the day of week of interest in the form of "Friday". - hour (int): An int to represent the hour of interest, 0 being midnight, and 23 being the final possible hour of the day - latitude (float): A float denoting the desired latitude. - longitude (float): A float denoting the desired longitude. - - Returns: - geodataframe: A geodataframe of the nearest point in the data at the given timestamp. - """ - - desired_filename = "environmental_insights_data/air_pollution/uk_typical_day/Month_"+str(month)+"-Day_"+day_of_Week+"-Hour_"+str(hour)+".feather" - if not os.path.isfile(desired_filename): - #download_file_data(time) - pass - - air_pollution_data = pd.read_feather(desired_filename) - air_pollution_data = air_pollution_data.rename(columns={"Grid ID":"UK Model Grid ID"}) - air_pollution_data = uk_grids.merge(air_pollution_data, on="UK Model Grid ID") - air_pollution_data["geometry"] = air_pollution_data["geometry"].centroid - air_pollution_data = air_pollution_data.to_crs(4326) - air_pollution_data["Latitude"] = air_pollution_data["geometry"].y - air_pollution_data["Longitude"] = air_pollution_data["geometry"].x - - - tree = cKDTree(air_pollution_data[["Latitude", "Longitude"]]) - - # Query for the closest points - distance, idx = tree.query([latitude, longitude], k=1) - - # Print the closest points - closest_points = pd.DataFrame(air_pollution_data.iloc[idx]).T - closest_points["Distance"] = distance - closest_points = closest_points.rename(columns={"Latitude":"Predicition Latitude", "Longitude":"Predicition Longitude"}) - closest_points["Requested Latitude"] = latitude - closest_points["Requested Longitude"] = longitude - closest_points = closest_points.drop(columns=["UK Model Grid ID", "geometry"]) - return closest_points - -def air_pollution_concentration_complete_set_real_time_united_kingdom(time): - """ - Retrieve the complete predicted dataset for a given timestamp in the UK dataset. - - Parameters: - time (string): A string denoting the timestamp desired, of the form YYYY-MM-DD HHmmss - - Returns: - geodataframe: A geodataframe of the dataset for the UK for a given timestamp. - """ - desired_filename = "environmental_insights_data/air_pollution/uk_complete_set/"+time+".feather" - if not os.path.isfile(desired_filename): - download_file_data(time) - - air_pollution_data = pd.read_feather(desired_filename) - air_pollution_data = air_pollution_data.rename(columns={"Grid ID":"UK Model Grid ID"}) - return air_pollution_data - -def air_pollution_concentration_nearest_point_real_time_united_kingdom(latitude, longitude, time, uk_grids): - """ - Retrieve a single air pollution concentration data point predicted based on the UK data, based on the cloest point given by the latitude and longitude. - - Parameters: - latitude (float): A float denoting the desired latitude. - longitude (float): A float denoting the desired longitude. - time (string): A string denoting the timestamp desired, of the form YYYY-MM-DD HHmmss. - uk_grids (geodataframe): A Geodataframe that describes the estimation points for the uk model. - - Returns: - geodataframe: A geodataframe of the nearest point in the data at the given timestamp. - """ - print("Accessing air pollution concentration at: Latitude: " + str(latitude) + " Longitude: " + str(longitude) + " Time: " + str(time)) - - desired_filename = "environmental_insights_data/air_pollution/uk_complete_set/"+time+".feather" - if not os.path.isfile(desired_filename): - download_file_data(time) - - air_pollution_data = pd.read_feather(desired_filename) - air_pollution_data = air_pollution_data.rename(columns={"Grid ID":"UK Model Grid ID"}) - air_pollution_data = uk_grids.merge(air_pollution_data, on="UK Model Grid ID") - air_pollution_data["geometry"] = air_pollution_data["geometry"].centroid - - air_pollution_data = air_pollution_data.to_crs(4326) - air_pollution_data["Latitude"] = air_pollution_data["geometry"].y - air_pollution_data["Longitude"] = air_pollution_data["geometry"].x - - - tree = cKDTree(air_pollution_data[["Latitude", "Longitude"]]) - - # Query for the closest points - distance, idx = tree.query([latitude, longitude], k=1) - - # Print the closest points - closest_points = pd.DataFrame(air_pollution_data.iloc[idx]).T - closest_points["Distance"] = distance - closest_points = closest_points.rename(columns={"Latitude":"Predicition Latitude", "Longitude":"Predicition Longitude"}) - closest_points["Requested Latitude"] = latitude - closest_points["Requested Longitude"] = longitude - closest_points = closest_points.drop(columns=["UK Model Grid ID", "geometry"]) - return closest_points - -def air_pollution_concentration_complete_set_real_time_global(time): - """ - Retrieve the complete calculated dataset for a given timestamp in the global dataset. - - Parameters: - time (string): A string denoting the timestamp desired, of the form DD-MM-YYYY HHmmss - - Returns: - geodataframe: A geodataframe of the dataset for the UK for a given timestamp. - """ - desired_filename = "environmental_insights_data/air_pollution/global_complete_set/"+time+".feather" - if not os.path.isfile(desired_filename): - download_file_data(time) - - air_pollution_data = pd.read_feather(desired_filename) - air_pollution_data = air_pollution_data.rename(columns={"id":"Global Model Grid ID"}) - return air_pollution_data - -def get_amenities_as_geodataframe(amenity_type, min_lat, min_lon, max_lat, max_lon): - """ - Fetch amenities of a given type within a bounding box and return as a GeoDataFrame. - - - Parameters: - amenity_type (string): Type of amenity, e.g., "hospital" - min_lat (float): Minimum latitude - min_lon (float): Minimum longitude - max_lat (float): Maximum latitude - max_lon (float): Maximum longitude - - Returns: - geodataframe: GeoDataFrame containing the amenities with their names and coordinates - """ - - api = overpy.Overpass() - - # Define the Overpass query - query = f""" - [out:json]; - ( - node["amenity"="{amenity_type}"]({min_lat},{min_lon},{max_lat},{max_lon}); - way["amenity"="{amenity_type}"]({min_lat},{min_lon},{max_lat},{max_lon}); - relation["amenity"="{amenity_type}"]({min_lat},{min_lon},{max_lat},{max_lon}); - ); - out center; - """ - - result = api.query(query) - - # Extract results and store them in lists - names = [] - lats = [] - lons = [] - - for node in result.nodes: - names.append(node.tags.get("name", "Unknown")) - lats.append(node.lat) - lons.append(node.lon) - - for way in result.ways: - names.append(way.tags.get("name", "Unknown")) - lats.append(way.center_lat) - lons.append(way.center_lon) - - for relation in result.relations: - names.append(relation.tags.get("name", "Unknown")) - lats.append(relation.center_lat) - lons.append(relation.center_lon) - - # Convert lists to a GeoDataFrame - geometry = [Point(xy) for xy in zip(lons, lats)] - gdf = gpd.GeoDataFrame({'name': names, 'geometry': geometry}) - - return gdf - -def get_highways_as_geodataframe(highway_type, min_lat, min_lon, max_lat, max_lon): - """ - Fetch highways of a specified type within a bounding box from OSM and return as a GeoDataFrame. - - Parameters: - highway_type (string): Type of highway, e.g., "motorway", "residential" - min_lat (float): Minimum latitude - min_lon (float): Minimum longitude - max_lat (float): Maximum latitude - max_lon (float): Maximum longitude - - Returns: - geodataframe: GeoDataFrame containing the highways with their names and coordinates - """ - - api = overpy.Overpass() - - # Modify the Overpass query to retrieve nodes of ways explicitly - query = f""" - [out:json]; - ( - way["highway"="{highway_type}"]({min_lat},{min_lon},{max_lat},{max_lon}); - >; // Fetches all nodes for the ways returned in the previous statement - ); - out geom; - """ - - result = api.query(query) - - names = [] - geometries = [] - - for way in result.ways: - try: - coords = [(node.lon, node.lat) for node in way.nodes] - names.append(way.tags.get("name", "Unknown")) - geometries.append(LineString(coords)) - except Exception as e: - print(f"Error processing way: {way.id}. Error: {e}") - - # Convert lists to a GeoDataFrame - gdf = gpd.GeoDataFrame({'name': names, 'geometry': geometries}, crs=4326) - gdf["highway"] = highway_type - gdf["source"] = "osm" - return gdf - -def ckd_nearest_LineString(gdf_A, gdf_B, gdf_B_cols): - """ - Calculate the nearest points between two GeoDataFrames containing LineString geometries. - - This function uses cKDTree to efficiently find the nearest points between two sets - of LineStrings. For each point in `gdf_A`, the function finds the closest point - in `gdf_B` and returns the distances along with selected columns from `gdf_B`. - - Parameters: - gdf_A (GeoDataFrame): A GeoDataFrame containing LineString geometries. - gdf_B (GeoDataFrame): A GeoDataFrame containing LineString geometries which will be - used to find the closest points to `gdf_A`. - gdf_B_cols (list or tuple): A list or tuple containing column names from `gdf_B` - which will be included in the resulting DataFrame. - - Returns: - GeoDataFrame: A GeoDataFrame with each row containing a geometry from `gdf_A`, - corresponding closest geometry details from `gdf_B` (as specified by `gdf_B_cols`), - and the distance to the closest point in `gdf_B`. - - Note: - The resulting GeoDataFrame maintains the order of `gdf_A` and attaches the nearest - details from `gdf_B`. - This code was adapted from the code avaliable here: https://gis.stackexchange.com/questions/222315/finding-nearest-point-in-other-geodataframe-using-geopandas - """ - gdf_A = gdf_A.reset_index(drop=True) - gdf_B = gdf_B.reset_index(drop=True) - A = np.concatenate( - [np.array(geom.coords) for geom in gdf_A.geometry.to_list()]) - B = [np.array(geom.coords) for geom in gdf_B.geometry.to_list()] - B_ix = tuple(itertools.chain.from_iterable( - [itertools.repeat(i, x) for i, x in enumerate(list(map(len, B)))])) - B = np.concatenate(B) - ckd_tree = cKDTree(B) - dist, idx = ckd_tree.query(A, k=1) - idx = itemgetter(*idx)(B_ix) - gdf = pd.concat( - [gdf_A, gdf_B.loc[idx, gdf_B_cols].reset_index(drop=True), - pd.Series(dist, name='dist')], axis=1) - return gdf - -def get_even_spaced_points(points, number_of_points): - """ - Generate a list of evenly spaced points between two given points. - - This function calculates the distance (or difference) between two input points - and divides this distance into `number_of_points` equal segments. The resulting - points, including the start and end points, are returned in a list. - - Parameters: - points (list or tuple of float): A list or tuple containing two points - (start and end) between which the evenly spaced points - are to be calculated. - number_of_points (int): The total number of points to generate, - including the start and end points. - - Returns: - list: A list of evenly spaced points between the provided start and end points. - - Example: - >>> getEvenSpacedPoints([1, 10], 5) - [1.0, 3.25, 5.5, 7.75, 10.0] - - Note: - The function assumes that the points list is sorted in ascending order. - """ - step = (points[1] - points[0]) / (number_of_points - 1) - - return [points[0] + step * i for i in range(number_of_points)] - - - - -def calculate_new_metrics_distance_total(current_infrastructure, highway_type, start_point, end_point, land_grids_centroids, land_grids): - """ - Simulate the addition of a proposed highway to current infrastructure and calculate new metrics. - - This function creates a new proposed highway segment based on given start and end points. - The proposed highway is then added to the current infrastructure dataset. After adding the - new highway, the function calculates distance metrics and total length of the specific highway type. - - Parameters: - current_infrastructure (GeoDataFrame): The current infrastructure dataset with existing highways. - highway_type (str): Type of the highway for which metrics are calculated (e.g., "motorway"). - start_point (tuple of float): Coordinates (x, y) for the starting point of the proposed highway. - end_point (tuple of float): Coordinates (x, y) for the ending point of the proposed highway. - land_grids_centroids (dataframe) : Dataframe of the grids for predicition to be made on, with the geometry being a set of points representing the centroid of such grids. - land_grids (dataframe) : Dataframe of the grids for predicition to be made on, with the geometry being a set of polygons representing the grids themselves. - - Returns: - tuple: - - GeoDataFrame: Contains metrics such as road infrastructure distance and total road length for each grid. - - GeoDataFrame: A merged dataset of current infrastructure and the proposed highway. - - Note: - - The function assumes the use of EPSG:4326 and EPSG:3395 for coordinate reference systems. - - It also assumes the existence of helper functions like `getEvenSpacedPoints` and a global variable `land_grids_centroids`. - """ - - xPoints = get_even_spaced_points([start_point[0], end_point[0]], 1000) - yPoints = get_even_spaced_points([start_point[1], end_point[1]], 1000) - - inputCoordinates = list(map(lambda x,y:Point(x,y),xPoints,yPoints)) - - prposed_highway = gpd.GeoDataFrame(index=[0], crs='epsg:4326', geometry=[LineString(inputCoordinates)]) - prposed_highway["source"] = "User Added" - prposed_highway["highway"] = "motorway" - prposed_highway = prposed_highway.to_crs(3395) - - - current_infrastructure_user_added = pd.concat([current_infrastructure, prposed_highway]) - - - current_infrastructure_highway_type = current_infrastructure_user_added[current_infrastructure_user_added["highway"] == highway_type] - current_infrastructure_highway_type = current_infrastructure_highway_type.to_crs(3395) - #Calculate the new distance - current_infrastructure_highway_distance = ckd_nearest_LineString(land_grids_centroids,current_infrastructure_highway_type,gdf_B_cols=["source", "highway"]) - current_infrastructure_highway_distance = current_infrastructure_highway_distance.rename(columns={"dist":"Road Infrastructure Distance " + str(highway_type)}) - - #Calculate the new motorway column - roadGrids_intersection_OSM = gpd.overlay(current_infrastructure_highway_type, land_grids, how='intersection') - - roadGrids_intersection_OSM_Subset = roadGrids_intersection_OSM[["highway", "UK Model Grid ID", "geometry"]] - roadGrids_intersection_OSM_Subset["Road Length"] = roadGrids_intersection_OSM_Subset["geometry"].length - goupby_result = pd.DataFrame(roadGrids_intersection_OSM_Subset.groupby(["highway", "UK Model Grid ID"])["Road Length"].sum()).reset_index() - current_infrastructure_new_grid_total = goupby_result.pivot_table(values='Road Length', index="UK Model Grid ID", columns='highway', aggfunc='sum') - current_infrastructure_new_grid_total = current_infrastructure_new_grid_total.rename(columns={highway_type:"Total Length " + str(highway_type)}) - current_infrastructure_all_grids = pd.merge(land_grids, current_infrastructure_new_grid_total, left_on="UK Model Grid ID", right_index=True, how="left") - current_infrastructure_all_grids = current_infrastructure_all_grids.fillna(0) - - return current_infrastructure_all_grids.merge(current_infrastructure_highway_distance.drop(columns="geometry"), on="UK Model Grid ID", how="left"), current_infrastructure_user_added - -def replace_feature_vector_column(feature_vector, new_feature_vector, feature_vector_name): - """ - Replace the feature vector column name with the new feature vector column name, replacing the data within the dataframe with new environmental conditions. - Parameters: - feature_vector (dataframe) : dataframe of the original data. - new_feature_vector (dataframe) : dataframe containing the new feature vector that is to be used to replace the data in feature_vector. - feature_vector_name (string) : Name of the feature vector to be changed. - - Returns: - dataframe : A dataframe of the original data that was added with the feature vector now replace by the new data. - """ - feature_vector = feature_vector.drop(columns=[feature_vector_name]) - feature_vector = feature_vector.merge(new_feature_vector[["UK Model Grid ID", feature_vector_name]], on="UK Model Grid ID") - - - return feature_vector - -def get_uk_grids(): - """ - Get the spatial grids that represent the locations at air pollution estimations are made on for the UK Model. - - Returns: - geodataframe : A Geodataframe of the polygons for each of the grids in the UK Model alongside their centroid and unique ID. - """ - uk_grids = gpd.read_file("environmental_insights_data/supporting_data/1000mLandGridsEngland.gpkg") - uk_grids["geometry Centroid"] = uk_grids["geometry"].centroid - uk_grids = uk_grids.rename(columns={"Grid ID": "UK Model Grid ID"}) - return uk_grids - -def get_global_grids(): - """ - Get the spatial grids that represent the locations at air pollution estimations are made on for the Global Model. - - Returns: - geodataframe : A Geodataframe of the polygons for each of the grids in the Global Model and unique ID. - """ - global_grids = gpd.read_file("environmental_insights_data/supporting_data/worldGrids_025_landGrids.gpkg") - global_grids = global_grids.rename(columns={"id": "Global Model Grid ID"}) - return global_grids diff --git a/.ipynb_checkpoints/development-checkpoint.ipynb b/.ipynb_checkpoints/development-checkpoint.ipynb deleted file mode 100644 index e56c0ef..0000000 --- a/.ipynb_checkpoints/development-checkpoint.ipynb +++ /dev/null @@ -1,33 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "33ce8b5e-fb37-4bb9-8acb-7bf80539e54f", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.19" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/.ipynb_checkpoints/download-checkpoint.py b/.ipynb_checkpoints/download-checkpoint.py deleted file mode 100644 index 173fdf4..0000000 --- a/.ipynb_checkpoints/download-checkpoint.py +++ /dev/null @@ -1,167 +0,0 @@ -import os -import requests -import pandas as pd -from rpy2 import robjects - -def import_monitoring_station_data(site, pollutant, years, source): - """ - Import monitoring station data from specified source and years. - - Parameters: - site (str): The monitoring site identifier. - pollutant (str): The pollutant identifier. - years (int or list of int): The year or list of years to import data for. - source (str): The data source identifier (e.g., 'aurn', 'saqn', 'aqe', 'waqn', 'ni'). - - Returns: - DataFrame: A pandas DataFrame containing the combined data for all specified years, - or None if any downloads failed. - """ - - # Convert site and pollutant identifiers to uppercase - site = site.upper() - pollutant = pollutant.upper() - - # Ensure years is a list - if isinstance(years, int): - years = [years] - - # Initialize variables to store downloaded data and track errors - downloaded_data = [] - errors_raised = False - - # Dictionary mapping source identifiers to their base URLs - source_dict = { - "aurn": "https://uk-air.defra.gov.uk/openair/R_data/", - "saqn": "https://www.scottishairquality.scot/openair/R_data/", - "aqe": "https://airqualityengland.co.uk/assets/openair/R_data/", - "waqn": "https://airquality.gov.wales/sites/default/files/openair/R_data/", - "ni": "https://www.airqualityni.co.uk/openair/R_data/" - } - - # Get the base URL for the specified source - source_url = source_dict.get(source) - - for year in years: - # Construct the URL for the RData file - url = f"{source_url}{site}_{year}.RData" - print(url) - - # Define request headers to simulate a browser request - headers = { - "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36" - } - - # Download the RData file - response = requests.get(url, headers=headers) - - if response.status_code == 200: - # Save the downloaded RData file locally - local_filename = f"temp_downloads/{site}_{year}.RData" - with open(local_filename, "wb") as file: - file.write(response.content) - print(f"Download completed successfully for {site} in {year}.") - else: - # Handle download failure - print(f"Failed to download the file. Status code: {response.status_code}") - errors_raised = True - continue - - # Load the RData file into R environment - robjects.r['load'](local_filename) - - # Assuming the RData file has only one object and it is a data frame - # Get the name of the loaded object - r_data_frame = robjects.r[robjects.r.objects()[0]] - - # Convert the R data frame to a pandas data frame - result = pd.DataFrame({col: list(r_data_frame.rx2(col)) for col in r_data_frame.names}) - - # Save the pandas data frame to a CSV file - result.to_csv(local_filename.replace(".RData", ".csv"), index=False) - - # Read the CSV file into a pandas data frame - result = pd.read_csv(local_filename.replace(".RData", ".csv")) - - # Clear the R environment - robjects.r('rm(list=ls())') - - # Append the data frame to the list of downloaded data - downloaded_data.append(result) - - if errors_raised: - print("Some files failed to download.") - return None - else: - print("All files downloaded successfully.") - # Concatenate all the downloaded data frames - df = pd.concat(downloaded_data, ignore_index=True) - return df - -def monitoring_station_meta_data(monitoring_network="aurn"): - """ - Import metadata for a specified monitoring network. - - Parameters: - monitoring_network (str): The monitoring network identifier. Default is "aurn". - - Returns: - DataFrame: A pandas DataFrame containing the metadata for the specified monitoring network, - or None if the download fails. - """ - - # Dictionary mapping monitoring networks to their metadata URLs - source_dict = { - "aurn": "http://uk-air.defra.gov.uk/openair/R_data/AURN_metadata.RData", - "saqn": "https://www.scottishairquality.scot/openair/R_data/SCOT_metadata.RData", - "aqe": "https://airqualityengland.co.uk/assets/openair/R_data/AQE_metadata.RData", - "waqn": "https://airquality.gov.wales/sites/default/files/openair/R_data/WAQ_metadata.RData", - "ni": "https://www.airqualityni.co.uk/openair/R_data/NI_metadata.RData" - } - - # Get the URL for the specified monitoring network - url = source_dict.get(monitoring_network) - display(url) - - # Define request headers to simulate a browser request - headers = { - "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36" - } - - # Send a GET request to the URL with headers - response = requests.get(url, headers=headers) - - # Check if the request was successful - if response.status_code == 200: - # Create the temp_downloads directory if it doesn't exist - os.makedirs("temp_downloads", exist_ok=True) - - # Save the content to a local file - local_filename = f"temp_downloads/{monitoring_network}_metadata.RData" - with open(local_filename, "wb") as file: - file.write(response.content) - print("Download completed successfully.") - else: - # Handle download failure - print("Failed to download the file. Status code:", response.status_code) - return None - - # Load the RData file into R environment - robjects.r['load'](local_filename) - - # Assuming the RData file has only one object and it is a data frame - # Get the name of the loaded object - r_data_frame = robjects.r[robjects.r.objects()[0]] - - # Convert the R data frame to a pandas data frame - result = pd.DataFrame({col: list(r_data_frame.rx2(col)) for col in r_data_frame.names}) - - # Save the pandas data frame to a CSV file - result.to_csv(local_filename.replace(".RData", ".csv"), index=False) - - # Clear the R environment - robjects.r('rm(list=ls())') - - # Read the CSV file into a pandas data frame - meta_data = pd.read_csv(local_filename.replace(".RData", ".csv")) - return meta_data diff --git a/.ipynb_checkpoints/models-checkpoint.py b/.ipynb_checkpoints/models-checkpoint.py deleted file mode 100644 index f8cb933..0000000 --- a/.ipynb_checkpoints/models-checkpoint.py +++ /dev/null @@ -1,120 +0,0 @@ -import pickle -import os -import pandas as pd -import variables -import numpy as np - -def download_file_model(filename): - """ - Checks if a file that has been requested has been downloaded and if it has then it will download the file - - Parameters: - filename (string): The dataset filename to be downloaded from the remote server - """ - print("Checking existence of file: " + str(filename)) - -def load_model_united_kingdom(model_type, model_dataset, air_pollutant): - """ - Load in a pre trained air pollution machine learning model for the UK. - - Parameters: - model_type (string): The model type to load in for the quantile regression, options: 0.95, 0.5, 0.05. - model_dataset (string): The underpinning dataset that the model has been trained on - air_pollutant (string): The air pollutant the model has been trained on. - - Return: - lightGBMRegression models: A lightGBM instance of the model. - """ - model_filepath = "environmental_insights_models/uk/dataset_"+model_dataset+"_quantile_regression_"+model_type+"_air_pollutant_"+air_pollutant+".pkl" - with open(model_filepath, "rb") as f: # Python 3: open(..., 'rb') - bootstrapModel = pickle.load(f) - return bootstrapModel - -def load_model_global(model_type, model_dataset, air_pollutant): - """ - Load in a pre trained air pollution machine learning model for the globe. - - Parameters: - model_type (string): The model type to load in for the quantile regression, options: 0.95, 0.5, 0.05. - model_dataset (string): The underpinning dataset that the model has been trained on - air_pollutant (string): The air pollutant the model has been trained on. - - Return: - lightGBMRegression models: A lightGBM instance of the model. - """ - model_filepath = "environmental_insights_models/global/dataset_"+model_dataset+"_quantile_regression_"+model_type+"_air_pollutant_"+air_pollutant+".pkl" - with open(model_filepath, "rb") as f: # Python 3: open(..., 'rb') - bootstrapModel = pickle.load(f) - return bootstrapModel - -def load_feature_vector_typical_day_united_kingdom(month, day_of_week, hour, uk_grids): - """ - Load in a feature vector for the typical day in the United Kingdom. - - Parameters: - month (int): An int to represent the month of interest, 1 being january, and 12 being December. - day_of_week (string): A string to represent the day of week of interest in the form of "Friday". - hour (int): An int to represent the hour of interest, 0 being midnight, and 23 being the final possible hour of the day - uk_grids (geodataframe): A Geodataframe that describes the estimation points for the uk model - - Returns: - geodataframe: A geodataframe of the typical dataset feature vector in the UK. - """ - desire_filename = "environmental_insights_data/feature_vector/uk_typical_day/Month_"+str(month)+"-Day_"+day_of_week+"-Hour_"+str(hour)+".feather" - if not os.path.isfile(desire_filename): - download_file_model(desire_filename) - - feature_vector = pd.read_feather(desire_filename) - feature_vector = feature_vector.rename(columns={"Grid ID":"UK Model Grid ID"}) - feature_vector = uk_grids.merge(feature_vector, on="UK Model Grid ID") - return feature_vector - -def get_model_feature_vector(model_type): - """ - Getter function to return the list of features that were used for a given model type. - - Parameters: - model_type (string): Whether the model requested is the one with all of the features or just the transport infrastructure features. - - Returns: - list: A list of the feature vector names that were used in the model request. - """ - return variables.featureVectorSubsets[model_type] - -def make_concentration_predicitions_united_kingdom(estimating_model, observation_data, estimating_feature_vector_column_names): - """ - Make predicition for a given environment conditions for air pollution concentrations. - - Parameters: - estimating_model (string): Whether the model requested is the one with all of the features or just the transport infrastructure features. - observation_data (dataframe): The observational data for the environmental conditions to make the predicitons on. - estimating_feature_vector_column_names (list): A list of the feature vector names that were used in the model request. - - Returns: - geoodataframe: Predictions for the given air pollutant for the given environmental conditions. - """ - feature_vector_DF = observation_data.copy(deep=True) - - timestamps = feature_vector_DF.index - - - - in_seqs = list() - for columnName in estimating_feature_vector_column_names: - in_seq = feature_vector_DF[[columnName]].to_numpy() - in_seq = in_seq.reshape((len(in_seq), 1)) - in_seqs.append(in_seq) - - feature_vector = np.hstack(tuple(in_seqs)) - feature_vector = feature_vector[:,:feature_vector.shape[1]] - - - - predcited_pollution_comparison = feature_vector_DF[["UK Model Grid ID"]].copy(deep=True) - - predicitionColumnNames = list() - - predcited_pollution = estimating_model.predict(feature_vector) - predcited_pollution = np.exp(predcited_pollution) - 0.0000001 - predcited_pollution_comparison["Model Predicition"] = predcited_pollution - return predcited_pollution_comparison diff --git a/.ipynb_checkpoints/test_workbook-checkpoint.ipynb b/.ipynb_checkpoints/test_workbook-checkpoint.ipynb deleted file mode 100644 index ae2e5de..0000000 --- a/.ipynb_checkpoints/test_workbook-checkpoint.ipynb +++ /dev/null @@ -1,127 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 2, - "id": "a340b6d7-d432-4b97-92bd-4ac72eee1b50", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'RUNNING air_pollution_functions.py TESTS!'" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Accessing air pollution concentration at: Latitude: 51.5 Longitude: 0.12 Time: 2018-01-01 080000\n", - "test_air_pollution_concentrations_to_UK_daily_air_quality_index_correct_input (tests_air_pollution_functions.air_pollution_functions_arguement_defence) ... ok\n", - "test_air_pollution_concentrations_to_UK_daily_air_quality_index_incorrect_input (tests_air_pollution_functions.air_pollution_functions_arguement_defence) ... ok\n", - "test_change_in_aqi_visulisation_correct_input (tests_air_pollution_functions.air_pollution_functions_arguement_defence) ... ok\n", - "test_change_in_aqi_visulisation_incorrect_input (tests_air_pollution_functions.air_pollution_functions_arguement_defence) ... ok\n", - "test_change_in_concentrations_visulisation_correct_input (tests_air_pollution_functions.air_pollution_functions_arguement_defence) ... ok\n", - "test_change_in_concentrations_visulisation_incorrect_input (tests_air_pollution_functions.air_pollution_functions_arguement_defence) ... ok\n", - "test_visualise_air_pollution_daily_air_quality_bands_correct_input (tests_air_pollution_functions.air_pollution_functions_arguement_defence) ... ok\n", - "test_visualise_air_pollution_daily_air_quality_bands_incorrect_input (tests_air_pollution_functions.air_pollution_functions_arguement_defence) ... ok\n", - "test_visualise_air_pollution_daily_air_quality_index_correct_input (tests_air_pollution_functions.air_pollution_functions_arguement_defence) ... ok\n", - "test_visualise_air_pollution_daily_air_quality_index_incorrect_input (tests_air_pollution_functions.air_pollution_functions_arguement_defence) ... ok\n", - "\n", - "----------------------------------------------------------------------\n", - "Ran 10 tests in 307.057s\n", - "\n", - "OK\n" - ] - }, - { - "data": { - "text/plain": [ - "'RUNNING data.py TESTS!'" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "test_placeholders (tests_data.data_arguement_defence) ... ok\n", - "\n", - "----------------------------------------------------------------------\n", - "Ran 1 test in 0.000s\n", - "\n", - "OK\n" - ] - }, - { - "data": { - "text/plain": [ - "'RUNNING models.py TESTS!'" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "test_placeholders (tests_models.models_arguement_defence) ... ok\n", - "\n", - "----------------------------------------------------------------------\n", - "Ran 1 test in 0.000s\n", - "\n", - "OK\n" - ] - } - ], - "source": [ - "#######\n", - "####### Run Tests\n", - "#######\n", - "display(\"RUNNING air_pollution_functions.py TESTS!\")\n", - "!python -m unittest discover -s tests -p tests_air_pollution_functions.py -v\n", - "\n", - "display(\"RUNNING data.py TESTS!\")\n", - "!python -m unittest discover -s tests -p tests_data.py -v\n", - "\n", - "display(\"RUNNING models.py TESTS!\")\n", - "!python -m unittest discover -s tests -p tests_models.py -v\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6bc3285c-d7ad-4b16-b8ba-1f84e8bcd6ae", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/.ipynb_checkpoints/tutorial_1-checkpoint.ipynb b/.ipynb_checkpoints/tutorial_1-checkpoint.ipynb deleted file mode 100644 index 4d17c12..0000000 --- a/.ipynb_checkpoints/tutorial_1-checkpoint.ipynb +++ /dev/null @@ -1,2213 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "590878ba-46c1-4687-8bc4-8fede873f1d3", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "fae83b0c-caee-44d4-af5f-172c8e05982d", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Fetching metadata for aurn network...\n" - ] - }, - { - "data": { - "text/plain": [ - "'http://uk-air.defra.gov.uk/openair/R_data/AURN_metadata.RData'" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Download completed successfully.\n", - "Metadata for aurn network:\n" - ] - }, - { - "data": { - "text/html": [ - "
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site_idsite_namelocation_typelatitudelongitudeparameterParameter_namestart_dateend_dateratified_tozoneagglomerationlocal_authority
0ABDAberdeenUrban Background57.157360-2.094278O3Ozone2003-08-012021-09-202021-09-20North East ScotlandNA_character_Aberdeen City
1ABDAberdeenUrban Background57.157360-2.094278NONitric oxide1999-09-182021-09-202021-09-20North East ScotlandNA_character_Aberdeen City
2ABDAberdeenUrban Background57.157360-2.094278NO2Nitrogen dioxide1999-09-182021-09-202021-09-20North East ScotlandNA_character_Aberdeen City
3ABDAberdeenUrban Background57.157360-2.094278NOXasNO2Nitrogen oxides as nitrogen dioxide1999-09-182021-09-202021-09-20North East ScotlandNA_character_Aberdeen City
4ABDAberdeenUrban Background57.157360-2.094278SO2Sulphur dioxide2001-01-012007-09-302007-09-30North East ScotlandNA_character_Aberdeen City
..........................................
2816YK11York FishergateUrban Traffic53.951889-1.075861NV2.5Non-volatile PM2.5 (Hourly measured)2011-08-312018-10-102018-10-10Yorkshire & HumbersideNA_character_York
2817YK11York FishergateUrban Traffic53.951889-1.075861V2.5Volatile PM2.5 (Hourly measured)2011-08-312018-10-102018-10-10Yorkshire & HumbersideNA_character_York
2818YK11York FishergateUrban Traffic53.951889-1.075861wdModelled Wind Direction2010-08-01ongoingNeverYorkshire & HumbersideNA_character_York
2819YK11York FishergateUrban Traffic53.951889-1.075861wsModelled Wind Speed2010-08-01ongoingNeverYorkshire & HumbersideNA_character_York
2820YK11York FishergateUrban Traffic53.951889-1.075861tempModelled Temperature2010-08-01ongoingNeverYorkshire & HumbersideNA_character_York
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2821 rows × 13 columns

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" - ], - "text/plain": [ - " site_id site_name location_type latitude longitude \\\n", - "0 ABD Aberdeen Urban Background 57.157360 -2.094278 \n", - "1 ABD Aberdeen Urban Background 57.157360 -2.094278 \n", - "2 ABD Aberdeen Urban Background 57.157360 -2.094278 \n", - "3 ABD Aberdeen Urban Background 57.157360 -2.094278 \n", - "4 ABD Aberdeen Urban Background 57.157360 -2.094278 \n", - "... ... ... ... ... ... \n", - "2816 YK11 York Fishergate Urban Traffic 53.951889 -1.075861 \n", - "2817 YK11 York Fishergate Urban Traffic 53.951889 -1.075861 \n", - "2818 YK11 York Fishergate Urban Traffic 53.951889 -1.075861 \n", - "2819 YK11 York Fishergate Urban Traffic 53.951889 -1.075861 \n", - "2820 YK11 York Fishergate Urban Traffic 53.951889 -1.075861 \n", - "\n", - " parameter Parameter_name start_date end_date \\\n", - "0 O3 Ozone 2003-08-01 2021-09-20 \n", - "1 NO Nitric oxide 1999-09-18 2021-09-20 \n", - "2 NO2 Nitrogen dioxide 1999-09-18 2021-09-20 \n", - "3 NOXasNO2 Nitrogen oxides as nitrogen dioxide 1999-09-18 2021-09-20 \n", - "4 SO2 Sulphur dioxide 2001-01-01 2007-09-30 \n", - "... ... ... ... ... \n", - "2816 NV2.5 Non-volatile PM2.5 (Hourly measured) 2011-08-31 2018-10-10 \n", - "2817 V2.5 Volatile PM2.5 (Hourly measured) 2011-08-31 2018-10-10 \n", - "2818 wd Modelled Wind Direction 2010-08-01 ongoing \n", - "2819 ws Modelled Wind Speed 2010-08-01 ongoing \n", - "2820 temp Modelled Temperature 2010-08-01 ongoing \n", - "\n", - " ratified_to zone agglomeration local_authority \n", - "0 2021-09-20 North East Scotland NA_character_ Aberdeen City \n", - "1 2021-09-20 North East Scotland NA_character_ Aberdeen City \n", - "2 2021-09-20 North East Scotland NA_character_ Aberdeen City \n", - "3 2021-09-20 North East Scotland NA_character_ Aberdeen City \n", - "4 2007-09-30 North East Scotland NA_character_ Aberdeen City \n", - "... ... ... ... ... \n", - "2816 2018-10-10 Yorkshire & Humberside NA_character_ York \n", - "2817 2018-10-10 Yorkshire & Humberside NA_character_ York \n", - "2818 Never Yorkshire & Humberside NA_character_ York \n", - "2819 Never Yorkshire & Humberside NA_character_ York \n", - "2820 Never Yorkshire & Humberside NA_character_ York \n", - "\n", - "[2821 rows x 13 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Fetching metadata for saqn network...\n" - ] - }, - { - "data": { - "text/plain": [ - "'https://www.scottishairquality.scot/openair/R_data/SCOT_metadata.RData'" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Download completed successfully.\n", - "Metadata for saqn network:\n" - ] - }, - { - "data": { - "text/html": [ - "
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site_idsite_namelocation_typelatitudelongitudeparameterParameter_namestart_dateend_dateratified_tozoneagglomerationlocal_authority
0ABD1Aberdeen Anderson DrUrban Traffic57.128567-2.125447NONitric oxide2005-01-01ongoing2023-12-31North East ScotlandNA_character_Aberdeen City
1ABD1Aberdeen Anderson DrUrban Traffic57.128567-2.125447NO2Nitrogen dioxide2005-01-01ongoing2023-12-31North East ScotlandNA_character_Aberdeen City
2ABD1Aberdeen Anderson DrUrban Traffic57.128567-2.125447NOXasNO2Nitrogen oxides as nitrogen dioxide2005-01-01ongoing2023-12-31North East ScotlandNA_character_Aberdeen City
3ABD1Aberdeen Anderson DrUrban Traffic57.128567-2.125447PM10PM10 particulate matter (Hourly measured)2005-01-01ongoing2024-03-31North East ScotlandNA_character_Aberdeen City
4ABD1Aberdeen Anderson DrUrban Traffic57.128567-2.125447PM2.5PM2.5 particulate matter (Hourly measured)2021-07-20ongoing2024-03-31North East ScotlandNA_character_Aberdeen City
..........................................
1335WHITWest Lothian WhitburnUrban Background55.866092-3.684857NV10Non-volatile PM10 (Hourly measured)2010-02-102012-04-032012-04-03Central ScotlandNA_character_West Lothian
1336WHITWest Lothian WhitburnUrban Background55.866092-3.684857V10Volatile PM10 (Hourly measured)2010-02-102012-04-032012-04-03Central ScotlandNA_character_West Lothian
1337WHITWest Lothian WhitburnUrban Background55.866092-3.684857wdModelled Wind Direction2010-08-012012-04-03NeverCentral ScotlandNA_character_West Lothian
1338WHITWest Lothian WhitburnUrban Background55.866092-3.684857wsModelled Wind Speed2010-08-012012-04-03NeverCentral ScotlandNA_character_West Lothian
1339WHITWest Lothian WhitburnUrban Background55.866092-3.684857tempModelled Temperature2010-08-012012-04-03NeverCentral ScotlandNA_character_West Lothian
\n", - "

1340 rows × 13 columns

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" - ], - "text/plain": [ - " site_id site_name location_type latitude longitude \\\n", - "0 ABD1 Aberdeen Anderson Dr Urban Traffic 57.128567 -2.125447 \n", - "1 ABD1 Aberdeen Anderson Dr Urban Traffic 57.128567 -2.125447 \n", - "2 ABD1 Aberdeen Anderson Dr Urban Traffic 57.128567 -2.125447 \n", - "3 ABD1 Aberdeen Anderson Dr Urban Traffic 57.128567 -2.125447 \n", - "4 ABD1 Aberdeen Anderson Dr Urban Traffic 57.128567 -2.125447 \n", - "... ... ... ... ... ... \n", - "1335 WHIT West Lothian Whitburn Urban Background 55.866092 -3.684857 \n", - "1336 WHIT West Lothian Whitburn Urban Background 55.866092 -3.684857 \n", - "1337 WHIT West Lothian Whitburn Urban Background 55.866092 -3.684857 \n", - "1338 WHIT West Lothian Whitburn Urban Background 55.866092 -3.684857 \n", - "1339 WHIT West Lothian Whitburn Urban Background 55.866092 -3.684857 \n", - "\n", - " parameter Parameter_name start_date \\\n", - "0 NO Nitric oxide 2005-01-01 \n", - "1 NO2 Nitrogen dioxide 2005-01-01 \n", - "2 NOXasNO2 Nitrogen oxides as nitrogen dioxide 2005-01-01 \n", - "3 PM10 PM10 particulate matter (Hourly measured) 2005-01-01 \n", - "4 PM2.5 PM2.5 particulate matter (Hourly measured) 2021-07-20 \n", - "... ... ... ... \n", - "1335 NV10 Non-volatile PM10 (Hourly measured) 2010-02-10 \n", - "1336 V10 Volatile PM10 (Hourly measured) 2010-02-10 \n", - "1337 wd Modelled Wind Direction 2010-08-01 \n", - "1338 ws Modelled Wind Speed 2010-08-01 \n", - "1339 temp Modelled Temperature 2010-08-01 \n", - "\n", - " end_date ratified_to zone agglomeration \\\n", - "0 ongoing 2023-12-31 North East Scotland NA_character_ \n", - "1 ongoing 2023-12-31 North East Scotland NA_character_ \n", - "2 ongoing 2023-12-31 North East Scotland NA_character_ \n", - "3 ongoing 2024-03-31 North East Scotland NA_character_ \n", - "4 ongoing 2024-03-31 North East Scotland NA_character_ \n", - "... ... ... ... ... \n", - "1335 2012-04-03 2012-04-03 Central Scotland NA_character_ \n", - "1336 2012-04-03 2012-04-03 Central Scotland NA_character_ \n", - "1337 2012-04-03 Never Central Scotland NA_character_ \n", - "1338 2012-04-03 Never Central Scotland NA_character_ \n", - "1339 2012-04-03 Never Central Scotland NA_character_ \n", - "\n", - " local_authority \n", - "0 Aberdeen City \n", - "1 Aberdeen City \n", - "2 Aberdeen City \n", - "3 Aberdeen City \n", - "4 Aberdeen City \n", - "... ... \n", - "1335 West Lothian \n", - "1336 West Lothian \n", - "1337 West Lothian \n", - "1338 West Lothian \n", - "1339 West Lothian \n", - "\n", - "[1340 rows x 13 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Fetching metadata for aqe network...\n" - ] - }, - { - "data": { - "text/plain": [ - "'https://airqualityengland.co.uk/assets/openair/R_data/AQE_metadata.RData'" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Download completed successfully.\n", - "Metadata for aqe network:\n" - ] - }, - { - "data": { - "text/html": [ - "
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site_idsite_namelocation_typelatitudelongitudeparameterParameter_namestart_dateend_dateratified_tozoneagglomerationlocal_authority
0AIY0081st Charlton Scouts, Shepperton (sensor)Urban Background51.406200-0.443486NO2Nitrogen dioxide2023-11-14ongoing2023-12-31South EastNA_character_Spelthorne
1AIY0081st Charlton Scouts, Shepperton (sensor)Urban Background51.406200-0.443486PM10PM10 particulate matter (Hourly measured)2023-11-14ongoing2023-12-31South EastNA_character_Spelthorne
2AIY0081st Charlton Scouts, Shepperton (sensor)Urban Background51.406200-0.443486PM2.5PM2.5 particulate matter (Hourly measured)2023-11-14ongoing2023-12-31South EastNA_character_Spelthorne
3AIY0071st Sunbury Scouts, Sunbury (sensor)Urban Background51.406900-0.417956NO2Nitrogen dioxide2023-11-14ongoing2023-12-22Greater LondonGreater London Urban AreaSpelthorne
4AIY0071st Sunbury Scouts, Sunbury (sensor)Urban Background51.406900-0.417956PM10PM10 particulate matter (Hourly measured)2023-11-14ongoing2023-12-22Greater LondonGreater London Urban AreaSpelthorne
..........................................
1533YK9York Lawrence StreetUrban Traffic53.954663-1.068241NOXasNO2Nitrogen oxides as nitrogen dioxide2015-01-01ongoing2023-12-31Yorkshire & HumbersideNA_character_York
1534YK15York Nunnery LaneUrban Traffic53.953411-1.086275NONitric oxide2015-01-01ongoing2023-12-31Yorkshire & HumbersideNA_character_York
1535YK15York Nunnery LaneUrban Traffic53.953411-1.086275NO2Nitrogen dioxide2015-01-01ongoing2023-12-31Yorkshire & HumbersideNA_character_York
1536YK15York Nunnery LaneUrban Traffic53.953411-1.086275NOXasNO2Nitrogen oxides as nitrogen dioxide2015-01-01ongoing2023-12-31Yorkshire & HumbersideNA_character_York
1537YK018York Plantation DriveUrban Traffic53.966432-1.126061PM10PM10 particulate matter (Hourly measured)2016-01-01ongoing2023-12-31Yorkshire & HumbersideNA_character_York
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1538 rows × 13 columns

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" - ], - "text/plain": [ - " site_id site_name location_type \\\n", - "0 AIY008 1st Charlton Scouts, Shepperton (sensor) Urban Background \n", - "1 AIY008 1st Charlton Scouts, Shepperton (sensor) Urban Background \n", - "2 AIY008 1st Charlton Scouts, Shepperton (sensor) Urban Background \n", - "3 AIY007 1st Sunbury Scouts, Sunbury (sensor) Urban Background \n", - "4 AIY007 1st Sunbury Scouts, Sunbury (sensor) Urban Background \n", - "... ... ... ... \n", - "1533 YK9 York Lawrence Street Urban Traffic \n", - "1534 YK15 York Nunnery Lane Urban Traffic \n", - "1535 YK15 York Nunnery Lane Urban Traffic \n", - "1536 YK15 York Nunnery Lane Urban Traffic \n", - "1537 YK018 York Plantation Drive Urban Traffic \n", - "\n", - " latitude longitude parameter \\\n", - "0 51.406200 -0.443486 NO2 \n", - "1 51.406200 -0.443486 PM10 \n", - "2 51.406200 -0.443486 PM2.5 \n", - "3 51.406900 -0.417956 NO2 \n", - "4 51.406900 -0.417956 PM10 \n", - "... ... ... ... \n", - "1533 53.954663 -1.068241 NOXasNO2 \n", - "1534 53.953411 -1.086275 NO \n", - "1535 53.953411 -1.086275 NO2 \n", - "1536 53.953411 -1.086275 NOXasNO2 \n", - "1537 53.966432 -1.126061 PM10 \n", - "\n", - " Parameter_name start_date end_date \\\n", - "0 Nitrogen dioxide 2023-11-14 ongoing \n", - "1 PM10 particulate matter (Hourly measured) 2023-11-14 ongoing \n", - "2 PM2.5 particulate matter (Hourly measured) 2023-11-14 ongoing \n", - "3 Nitrogen dioxide 2023-11-14 ongoing \n", - "4 PM10 particulate matter (Hourly measured) 2023-11-14 ongoing \n", - "... ... ... ... \n", - "1533 Nitrogen oxides as nitrogen dioxide 2015-01-01 ongoing \n", - "1534 Nitric oxide 2015-01-01 ongoing \n", - "1535 Nitrogen dioxide 2015-01-01 ongoing \n", - "1536 Nitrogen oxides as nitrogen dioxide 2015-01-01 ongoing \n", - "1537 PM10 particulate matter (Hourly measured) 2016-01-01 ongoing \n", - "\n", - " ratified_to zone agglomeration \\\n", - "0 2023-12-31 South East NA_character_ \n", - "1 2023-12-31 South East NA_character_ \n", - "2 2023-12-31 South East NA_character_ \n", - "3 2023-12-22 Greater London Greater London Urban Area \n", - "4 2023-12-22 Greater London Greater London Urban Area \n", - "... ... ... ... \n", - "1533 2023-12-31 Yorkshire & Humberside NA_character_ \n", - "1534 2023-12-31 Yorkshire & Humberside NA_character_ \n", - "1535 2023-12-31 Yorkshire & Humberside NA_character_ \n", - "1536 2023-12-31 Yorkshire & Humberside NA_character_ \n", - "1537 2023-12-31 Yorkshire & Humberside NA_character_ \n", - "\n", - " local_authority \n", - "0 Spelthorne \n", - "1 Spelthorne \n", - "2 Spelthorne \n", - "3 Spelthorne \n", - "4 Spelthorne \n", - "... ... \n", - "1533 York \n", - "1534 York \n", - "1535 York \n", - "1536 York \n", - "1537 York \n", - "\n", - "[1538 rows x 13 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Fetching metadata for waqn network...\n" - ] - }, - { - "data": { - "text/plain": [ - "'https://airquality.gov.wales/sites/default/files/openair/R_data/WAQ_metadata.RData'" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Download completed successfully.\n", - "Metadata for waqn network:\n" - ] - }, - { - "data": { - "text/html": [ - "
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site_idsite_namelocation_typelatitudelongitudeparameterParameter_namestart_dateend_dateratified_tozoneagglomerationlocal_authority
0ANG5Anglesey BryntegRural Industrial53.307155-4.274216PM10Particulates < 10um (hourly measured)2007-08-012022-12-312022-12-31North WalesNA_character_Isle of Anglesey
1ANG5Anglesey BryntegRural Industrial53.307155-4.274216PM2.5Particulates < 2.5um (hourly measured)2007-08-012022-12-312022-12-31North WalesNA_character_Isle of Anglesey
2ANG5Anglesey BryntegRural Industrial53.307155-4.274216PM1Particulates < 1um (hourly measured)2007-08-012022-12-312022-12-31North WalesNA_character_Isle of Anglesey
3ANG5Anglesey BryntegRural Industrial53.307155-4.274216TSPTotal Suspended Particulate2007-08-012022-12-312022-12-31North WalesNA_character_Isle of Anglesey
4ANG5Anglesey BryntegRural Industrial53.307155-4.274216wdModelled Wind Direction2010-08-012022-12-31NeverNorth WalesNA_character_Isle of Anglesey
..........................................
617WRX4Wrexham IsycoedUrban Industrial53.048475-2.900658SO2Sulphur dioxide2006-01-012015-12-312015-12-31North WalesNA_character_Wrexham
618WRX4Wrexham IsycoedUrban Industrial53.048475-2.900658GR10PM10 Particulate matter (daily measured)2006-01-012015-12-312015-12-31North WalesNA_character_Wrexham
619WRX4Wrexham IsycoedUrban Industrial53.048475-2.900658wdModelled Wind Direction2010-08-012015-12-31NeverNorth WalesNA_character_Wrexham
620WRX4Wrexham IsycoedUrban Industrial53.048475-2.900658wsModelled Wind Speed2010-08-012015-12-31NeverNorth WalesNA_character_Wrexham
621WRX4Wrexham IsycoedUrban Industrial53.048475-2.900658tempModelled Temperature2010-08-012015-12-31NeverNorth WalesNA_character_Wrexham
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622 rows × 13 columns

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" - ], - "text/plain": [ - " site_id site_name location_type latitude longitude \\\n", - "0 ANG5 Anglesey Brynteg Rural Industrial 53.307155 -4.274216 \n", - "1 ANG5 Anglesey Brynteg Rural Industrial 53.307155 -4.274216 \n", - "2 ANG5 Anglesey Brynteg Rural Industrial 53.307155 -4.274216 \n", - "3 ANG5 Anglesey Brynteg Rural Industrial 53.307155 -4.274216 \n", - "4 ANG5 Anglesey Brynteg Rural Industrial 53.307155 -4.274216 \n", - ".. ... ... ... ... ... \n", - "617 WRX4 Wrexham Isycoed Urban Industrial 53.048475 -2.900658 \n", - "618 WRX4 Wrexham Isycoed Urban Industrial 53.048475 -2.900658 \n", - "619 WRX4 Wrexham Isycoed Urban Industrial 53.048475 -2.900658 \n", - "620 WRX4 Wrexham Isycoed Urban Industrial 53.048475 -2.900658 \n", - "621 WRX4 Wrexham Isycoed Urban Industrial 53.048475 -2.900658 \n", - "\n", - " parameter Parameter_name start_date \\\n", - "0 PM10 Particulates < 10um (hourly measured) 2007-08-01 \n", - "1 PM2.5 Particulates < 2.5um (hourly measured) 2007-08-01 \n", - "2 PM1 Particulates < 1um (hourly measured) 2007-08-01 \n", - "3 TSP Total Suspended Particulate 2007-08-01 \n", - "4 wd Modelled Wind Direction 2010-08-01 \n", - ".. ... ... ... \n", - "617 SO2 Sulphur dioxide 2006-01-01 \n", - "618 GR10 PM10 Particulate matter (daily measured) 2006-01-01 \n", - "619 wd Modelled Wind Direction 2010-08-01 \n", - "620 ws Modelled Wind Speed 2010-08-01 \n", - "621 temp Modelled Temperature 2010-08-01 \n", - "\n", - " end_date ratified_to zone agglomeration local_authority \n", - "0 2022-12-31 2022-12-31 North Wales NA_character_ Isle of Anglesey \n", - "1 2022-12-31 2022-12-31 North Wales NA_character_ Isle of Anglesey \n", - "2 2022-12-31 2022-12-31 North Wales NA_character_ Isle of Anglesey \n", - "3 2022-12-31 2022-12-31 North Wales NA_character_ Isle of Anglesey \n", - "4 2022-12-31 Never North Wales NA_character_ Isle of Anglesey \n", - ".. ... ... ... ... ... \n", - "617 2015-12-31 2015-12-31 North Wales NA_character_ Wrexham \n", - "618 2015-12-31 2015-12-31 North Wales NA_character_ Wrexham \n", - "619 2015-12-31 Never North Wales NA_character_ Wrexham \n", - "620 2015-12-31 Never North Wales NA_character_ Wrexham \n", - "621 2015-12-31 Never North Wales NA_character_ Wrexham \n", - "\n", - "[622 rows x 13 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Fetching metadata for ni network...\n" - ] - }, - { - "data": { - "text/plain": [ - "'https://www.airqualityni.co.uk/openair/R_data/NI_metadata.RData'" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Download completed successfully.\n", - "Metadata for ni network:\n" - ] - }, - { - "data": { - "text/html": [ - "
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site_idsite_namelocation_typelatitudelongitudeparameterParameter_namestart_dateend_dateratified_tozoneagglomerationlocal_authority
0ANT1Antrim Greystone EstateUrban Background54.709900-6.188552SO2Sulphur dioxide2004-11-252010-06-182010-06-18Northern IrelandNA_character_Antrim and Newtownabbey
1ARDSArds Glen community centreUrban Background54.599072-5.699291SO2Sulphur dioxide2003-03-012006-04-102006-03-15Northern IrelandNA_character_Ards and North Down
2ARDSArds Glen community centreUrban Background54.599072-5.699291PM10PM10 particulate matter (Hourly measured)2003-03-012006-04-102006-03-15Northern IrelandNA_character_Ards and North Down
3ARD2Ards Leisure CentreUrban Background54.597019-5.703319SO2Sulphur dioxide2006-04-112010-04-062010-04-06Northern IrelandNA_character_Ards and North Down
4ARD2Ards Leisure CentreUrban Background54.597019-5.703319PM10PM10 particulate matter (Hourly measured)2006-04-112011-10-252011-10-25Northern IrelandNA_character_Ards and North Down
..........................................
312DCSMOB01Strathfoyle Bawnmore PlaceSuburban Background55.034322-7.264644PM10PM10 particulate matter (Hourly measured)2018-08-01ongoing2023-12-31Northern IrelandNA_character_Derry and Strabane
313DCSMOB01Strathfoyle Bawnmore PlaceSuburban Background55.034322-7.264644PM2.5PM2.5 particulate matter (Hourly measured)2022-02-25ongoing2023-12-31Northern IrelandNA_character_Derry and Strabane
314DCSMOB01Strathfoyle Bawnmore PlaceSuburban Background55.034322-7.264644wdModelled Wind Direction2018-08-01ongoingNeverNorthern IrelandNA_character_Derry and Strabane
315DCSMOB01Strathfoyle Bawnmore PlaceSuburban Background55.034322-7.264644wsModelled Wind Speed2018-08-01ongoingNeverNorthern IrelandNA_character_Derry and Strabane
316DCSMOB01Strathfoyle Bawnmore PlaceSuburban Background55.034322-7.264644tempModelled Temperature2018-08-01ongoingNeverNorthern IrelandNA_character_Derry and Strabane
\n", - "

317 rows × 13 columns

\n", - "
" - ], - "text/plain": [ - " site_id site_name location_type latitude \\\n", - "0 ANT1 Antrim Greystone Estate Urban Background 54.709900 \n", - "1 ARDS Ards Glen community centre Urban Background 54.599072 \n", - "2 ARDS Ards Glen community centre Urban Background 54.599072 \n", - "3 ARD2 Ards Leisure Centre Urban Background 54.597019 \n", - "4 ARD2 Ards Leisure Centre Urban Background 54.597019 \n", - ".. ... ... ... ... \n", - "312 DCSMOB01 Strathfoyle Bawnmore Place Suburban Background 55.034322 \n", - "313 DCSMOB01 Strathfoyle Bawnmore Place Suburban Background 55.034322 \n", - "314 DCSMOB01 Strathfoyle Bawnmore Place Suburban Background 55.034322 \n", - "315 DCSMOB01 Strathfoyle Bawnmore Place Suburban Background 55.034322 \n", - "316 DCSMOB01 Strathfoyle Bawnmore Place Suburban Background 55.034322 \n", - "\n", - " longitude parameter Parameter_name \\\n", - "0 -6.188552 SO2 Sulphur dioxide \n", - "1 -5.699291 SO2 Sulphur dioxide \n", - "2 -5.699291 PM10 PM10 particulate matter (Hourly measured) \n", - "3 -5.703319 SO2 Sulphur dioxide \n", - "4 -5.703319 PM10 PM10 particulate matter (Hourly measured) \n", - ".. ... ... ... \n", - "312 -7.264644 PM10 PM10 particulate matter (Hourly measured) \n", - "313 -7.264644 PM2.5 PM2.5 particulate matter (Hourly measured) \n", - "314 -7.264644 wd Modelled Wind Direction \n", - "315 -7.264644 ws Modelled Wind Speed \n", - "316 -7.264644 temp Modelled Temperature \n", - "\n", - " start_date end_date ratified_to zone agglomeration \\\n", - "0 2004-11-25 2010-06-18 2010-06-18 Northern Ireland NA_character_ \n", - "1 2003-03-01 2006-04-10 2006-03-15 Northern Ireland NA_character_ \n", - "2 2003-03-01 2006-04-10 2006-03-15 Northern Ireland NA_character_ \n", - "3 2006-04-11 2010-04-06 2010-04-06 Northern Ireland NA_character_ \n", - "4 2006-04-11 2011-10-25 2011-10-25 Northern Ireland NA_character_ \n", - ".. ... ... ... ... ... \n", - "312 2018-08-01 ongoing 2023-12-31 Northern Ireland NA_character_ \n", - "313 2022-02-25 ongoing 2023-12-31 Northern Ireland NA_character_ \n", - "314 2018-08-01 ongoing Never Northern Ireland NA_character_ \n", - "315 2018-08-01 ongoing Never Northern Ireland NA_character_ \n", - "316 2018-08-01 ongoing Never Northern Ireland NA_character_ \n", - "\n", - " local_authority \n", - "0 Antrim and Newtownabbey \n", - "1 Ards and North Down \n", - "2 Ards and North Down \n", - "3 Ards and North Down \n", - "4 Ards and North Down \n", - ".. ... \n", - "312 Derry and Strabane \n", - "313 Derry and Strabane \n", - "314 Derry and Strabane \n", - "315 Derry and Strabane \n", - "316 Derry and Strabane \n", - "\n", - "[317 rows x 13 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Fetching data for station ABD1 in 2015 from saqn network...\n", - "https://www.scottishairquality.scot/openair/R_data/ABD1_2015.RData\n", - "Download completed successfully for ABD1 in 2015.\n", - "All files downloaded successfully.\n", - "Data for ABD1 in 2015 from saqn network:\n" - ] - }, - { - "data": { - "text/html": [ - "
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datePM10sitecode
01.554077e+099.76Strathfoyle Bawnmore Place1
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dateO3NONO2NOXasNO2PM10NV10V10PM2.5NV2.5V2.5wdwstempAT10AT2.5AP2.5sitecode
01.420070e+0962.798031.467669.1927511.4431312.612.20.411.49.02.4229.98.27.110.113.1999435.0Aberdeen1
11.420074e+0967.454660.859399.2137910.531505.33.41.911.48.03.4230.07.86.69.712.6999600.0Aberdeen1
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31.420081e+0974.788860.832263.975615.25173-2.30.6-2.92.01.40.6236.49.56.99.412.4999050.0Aberdeen1
41.420085e+0975.138110.966353.726985.208693.31.71.61.30.80.5226.18.97.09.612.6999000.0Aberdeen1
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" - ], - "text/plain": [ - " date O3 NO NO2 NOXasNO2 PM10 NV10 V10 PM2.5 \\\n", - "0 1.420070e+09 62.79803 1.46766 9.19275 11.44313 12.6 12.2 0.4 11.4 \n", - "1 1.420074e+09 67.45466 0.85939 9.21379 10.53150 5.3 3.4 1.9 11.4 \n", - "2 1.420078e+09 70.94714 0.64454 6.99593 7.98421 4.2 0.0 4.2 5.8 \n", - "3 1.420081e+09 74.78886 0.83226 3.97561 5.25173 -2.3 0.6 -2.9 2.0 \n", - "4 1.420085e+09 75.13811 0.96635 3.72698 5.20869 3.3 1.7 1.6 1.3 \n", - "\n", - " NV2.5 V2.5 wd ws temp AT10 AT2.5 AP2.5 site code \n", - "0 9.0 2.4 229.9 8.2 7.1 10.1 13.1 999435.0 Aberdeen 1 \n", - "1 8.0 3.4 230.0 7.8 6.6 9.7 12.6 999600.0 Aberdeen 1 \n", - "2 0.3 5.5 234.6 9.1 6.7 9.0 11.9 999017.0 Aberdeen 1 \n", - "3 1.4 0.6 236.4 9.5 6.9 9.4 12.4 999050.0 Aberdeen 1 \n", - "4 0.8 0.5 226.1 8.9 7.0 9.6 12.6 999000.0 Aberdeen 1 " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# This notebook demonstrates how to download and process air quality monitoring data from various networks.\n", - "import download\n", - "# Define the networks to get metadata for\n", - "networks = [\"aurn\", \"saqn\", \"aqe\", \"waqn\", \"ni\"]\n", - "\n", - "# Dictionary to store metadata for each network\n", - "metadata_dict = {}\n", - "\n", - "# Loop through each network, download metadata, and store it in the dictionary\n", - "for network in networks:\n", - " print(f\"Fetching metadata for {network} network...\")\n", - " metadata = download.monitoring_station_meta_data(network)\n", - " metadata_dict[network] = metadata\n", - " print(f\"Metadata for {network} network:\")\n", - " display(metadata)\n", - "\n", - "# Define stations and their respective data parameters\n", - "stations_data = {\n", - " \"saqn\": [\"ABD1\", 2015, \"NO\"],\n", - " \"aqe\": [\"YK9\", 2015, \"PM10\"],\n", - " \"waqn\": [\"ANG5\", 2010, \"PM10\"],\n", - " \"ni\": [\"DCSMOB01\", 2019, \"PM2.5\"],\n", - " \"aurn\": [\"ABD\", 2015, \"O3\"]\n", - "}\n", - "\n", - "# Loop through each station data entry, download the data, and display the first few rows\n", - "for network, station_data in stations_data.items():\n", - " station, year, pollutant = station_data\n", - " print(f\"Fetching data for station {station} in {year} from {network} network...\")\n", - " data = download.import_monitoring_station_data(station, pollutant, year, network)\n", - " print(f\"Data for {station} in {year} from {network} network:\")\n", - " display(data.head())\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "20a2cbae-86bf-4506-8b25-dab365ef42a4", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.19" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/.ipynb_checkpoints/tutorial_environmental_insights-checkpoint.ipynb b/.ipynb_checkpoints/tutorial_environmental_insights-checkpoint.ipynb deleted file mode 100644 index cf1dd50..0000000 --- a/.ipynb_checkpoints/tutorial_environmental_insights-checkpoint.ipynb +++ /dev/null @@ -1,3375 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "440a2f27-ed66-45ec-953f-c802c31b43cb", - "metadata": {}, - "source": [ - "

Environmental Insights Tutorial

\n", - "

Before starting the tutorial, please ensure that you read the README.md file for this python package.

" - ] - }, - { - "cell_type": "markdown", - "id": "06ce13d1-463b-44c0-9673-18087e43706c", - "metadata": {}, - "source": [ - "
" - ] - }, - { - "cell_type": "markdown", - "id": "96ffc37a-6462-42f9-9250-5fa878be22c0", - "metadata": {}, - "source": [ - "# Installing prerequisites\n", - "### Please ensure that you have got all the relevant packages installed. If not, then code to do this for you is avaliable in the file \"package_installation.ipynb\"" - ] - }, - { - "cell_type": "markdown", - "id": "fdeb5258-e06c-4d05-aaff-121d4c796484", - "metadata": {}, - "source": [ - "# Import relevant modules for the tutorial, both from the Environmental Insight package (air_pollution_functions, data, models) and auxiliary modules (numpy and matplotlib)" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "1a396667-b8ae-43f3-a770-c45a8297b7e6", - "metadata": {}, - "outputs": [], - "source": [ - "import air_pollution_functions as ei_air_pollution_functions\n", - "import data as ei_data\n", - "import models as ei_models\n", - "\n", - "import numpy as np \n", - "import matplotlib.pyplot as plt\n", - "import matplotlib" - ] - }, - { - "cell_type": "markdown", - "id": "74bdec1b-8529-42a5-bc0a-1c954d32c95d", - "metadata": {}, - "source": [ - "# Loading of the example dataset for the tutorial" - ] - }, - { - "cell_type": "markdown", - "id": "578459e0-5919-462c-9787-6f72971dc61a", - "metadata": {}, - "source": [ - "## Load in the data that represents the gridded system used for both the global and the UK Model. " - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "dc43abcb-4111-4f37-aa91-4d3a51e0875d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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UK Model Grid IDgeometrygeometry Centroid
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355826641084POLYGON ((195708.557 6857331.988, 196708.557 6...POINT (196208.557 6856831.988)
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" - ], - "text/plain": [ - " UK Model Grid ID geometry \\\n", - "0 3327 POLYGON ((-627291.443 6441331.988, -626291.443... \n", - "1 3328 POLYGON ((-627291.443 6442331.988, -626291.443... \n", - "2 3329 POLYGON ((-627291.443 6443331.988, -626291.443... \n", - "3 3330 POLYGON ((-627291.443 6440331.988, -626291.443... \n", - "4 3331 POLYGON ((-627291.443 6439331.988, -626291.443... \n", - "... ... ... \n", - "355822 641080 POLYGON ((195708.557 6853331.988, 196708.557 6... \n", - "355823 641081 POLYGON ((195708.557 6854331.988, 196708.557 6... \n", - "355824 641082 POLYGON ((195708.557 6855331.988, 196708.557 6... \n", - "355825 641083 POLYGON ((195708.557 6856331.988, 196708.557 6... \n", - "355826 641084 POLYGON ((195708.557 6857331.988, 196708.557 6... \n", - "\n", - " geometry Centroid \n", - "0 POINT (-626791.443 6440831.988) \n", - "1 POINT (-626791.443 6441831.988) \n", - "2 POINT (-626791.443 6442831.988) \n", - "3 POINT (-626791.443 6439831.988) \n", - "4 POINT (-626791.443 6438831.988) \n", - "... ... \n", - "355822 POINT (196208.557 6852831.988) \n", - "355823 POINT (196208.557 6853831.988) \n", - "355824 POINT (196208.557 6854831.988) \n", - "355825 POINT (196208.557 6855831.988) \n", - "355826 POINT (196208.557 6856831.988) \n", - "\n", - "[355827 rows x 3 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Load in the grids that represent the UK Model \n", - "uk_grids = ei_data.get_uk_grids()\n", - "display(uk_grids)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "258ad121-b0da-48b3-b8a2-fd7b265f78a8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Global Model Grid IDgeometry
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" - ], - "text/plain": [ - " Global Model Grid ID \\\n", - "0 49 \n", - "1 50 \n", - "2 51 \n", - "3 59 \n", - "4 60 \n", - "... ... \n", - "363746 1000796 \n", - "363747 1000797 \n", - "363748 1000798 \n", - "363749 1000799 \n", - "363750 1000800 \n", - "\n", - " geometry \n", - "0 POLYGON ((-180.00000 71.63410, -179.75000 71.6... \n", - "1 POLYGON ((-180.00000 71.38410, -179.75000 71.3... \n", - "2 POLYGON ((-180.00000 71.13410, -179.75000 71.1... \n", - "3 POLYGON ((-180.00000 69.13410, -179.75000 69.1... \n", - "4 POLYGON ((-180.00000 68.88410, -179.75000 68.8... \n", - "... ... \n", - "363746 POLYGON ((179.75000 -88.86590, 180.00000 -88.8... \n", - "363747 POLYGON ((179.75000 -89.11590, 180.00000 -89.1... \n", - "363748 POLYGON ((179.75000 -89.36590, 180.00000 -89.3... \n", - "363749 POLYGON ((179.75000 -89.61590, 180.00000 -89.6... \n", - "363750 POLYGON ((179.75000 -89.86590, 180.00000 -89.8... \n", - "\n", - "[363751 rows x 2 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Load in the grids that represent the Global Model \n", - "global_grids = ei_data.get_global_grids()\n", - "display(global_grids)" - ] - }, - { - "cell_type": "markdown", - "id": "96f5fb63-6709-4615-8890-22b1ced1304e", - "metadata": {}, - "source": [ - "## Load in data for a particular timestamp for the global dataset for all of the grids." - ] - }, - { - "cell_type": "markdown", - "id": "846dfc92-8b2a-4448-8637-255b9b5d3e1a", - "metadata": {}, - "source": [ - "For the global model the outputs produced are at the hourly level across all of 2022. As such the possible timestamps that can be used are 01-01-2022 000000 to 12-31-2022 230000." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "cb717e28-3265-4428-bf38-39f2ae78e063", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Global Model Grid IDlongitudelatitudeTimestampno2o3pm10pm25so2Missing Feature Vector Imputed
049-179.87571.50910107-02-2022 0800000.05092716.1172314.3603980.3124015.061707False
150-179.87571.25910107-02-2022 0800000.26778430.9507145.2594810.1184560.769120False
251-179.87571.00910107-02-2022 0800000.29748154.3491464.3411260.5263220.381327False
359-179.87569.00910107-02-2022 0800000.0596874.1550915.0693191.6064504.704843False
460-179.87568.75910107-02-2022 0800000.1733349.4513155.8993340.2083201.082564False
.................................
261372999537179.62552.00910107-02-2022 0800000.76362749.7367747.3999170.1544870.456361False
261373999538179.62551.75910107-02-2022 0800000.70379150.6033924.4356570.2004210.187812False
261374999810179.625-16.24089907-02-2022 0800000.77345427.48925217.6514532.9476080.022939False
261375999811179.625-16.49089907-02-2022 0800001.25485810.26373113.6281991.4580840.001510False
261376999812179.625-16.74089907-02-2022 0800001.43366212.88446913.8973804.9986650.001259False
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" - ], - "text/plain": [ - " Global Model Grid ID longitude latitude Timestamp \\\n", - "0 49 -179.875 71.509101 07-02-2022 080000 \n", - "1 50 -179.875 71.259101 07-02-2022 080000 \n", - "2 51 -179.875 71.009101 07-02-2022 080000 \n", - "3 59 -179.875 69.009101 07-02-2022 080000 \n", - "4 60 -179.875 68.759101 07-02-2022 080000 \n", - "... ... ... ... ... \n", - "261372 999537 179.625 52.009101 07-02-2022 080000 \n", - "261373 999538 179.625 51.759101 07-02-2022 080000 \n", - "261374 999810 179.625 -16.240899 07-02-2022 080000 \n", - "261375 999811 179.625 -16.490899 07-02-2022 080000 \n", - "261376 999812 179.625 -16.740899 07-02-2022 080000 \n", - "\n", - " no2 o3 pm10 pm25 so2 \\\n", - "0 0.050927 16.117231 4.360398 0.312401 5.061707 \n", - "1 0.267784 30.950714 5.259481 0.118456 0.769120 \n", - "2 0.297481 54.349146 4.341126 0.526322 0.381327 \n", - "3 0.059687 4.155091 5.069319 1.606450 4.704843 \n", - "4 0.173334 9.451315 5.899334 0.208320 1.082564 \n", - "... ... ... ... ... ... \n", - "261372 0.763627 49.736774 7.399917 0.154487 0.456361 \n", - "261373 0.703791 50.603392 4.435657 0.200421 0.187812 \n", - "261374 0.773454 27.489252 17.651453 2.947608 0.022939 \n", - "261375 1.254858 10.263731 13.628199 1.458084 0.001510 \n", - "261376 1.433662 12.884469 13.897380 4.998665 0.001259 \n", - "\n", - " Missing Feature Vector Imputed \n", - "0 False \n", - "1 False \n", - "2 False \n", - "3 False \n", - "4 False \n", - "... ... \n", - "261372 False \n", - "261373 False \n", - "261374 False \n", - "261375 False \n", - "261376 False \n", - "\n", - "[261377 rows x 10 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#The format for the Global data is month-day-year HourMinuteSecond\n", - "\n", - "global_complete_dataset = ei_data.air_pollution_concentration_complete_set_real_time_global(\"07-02-2022 080000\")\n", - "display(global_complete_dataset)" - ] - }, - { - "cell_type": "markdown", - "id": "b78fae68-e949-4349-8651-151a9022e346", - "metadata": {}, - "source": [ - "## Load in data for a particular timestamp for the England dataset for all of the grids, and for a single point (latitude and longitude) for a single timestamp. " - ] - }, - { - "cell_type": "markdown", - "id": "79f5c906-0c45-4294-9523-18399344e0ca", - "metadata": {}, - "source": [ - "For the England model the outputs produced are at the hourly level across all of 2018. As such the possible timestamps that can be used are 2018-01-01 000000 2018-12-31 230000" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "808f627f-765e-43c2-a576-09bae13aa36e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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TimestampUK Model Grid IDnox Prediction meanno2 Prediction meanno Prediction meano3 Prediction meanpm10 Prediction meanpm2.5 Prediction meanso2 Prediction mean
02018-01-01 08:00:0033272.4117201.3640110.27245583.8440757.5992252.0180981.728254
12018-01-01 08:00:0033282.2296891.3443470.33187289.1238907.5404692.2075071.306306
22018-01-01 08:00:0033293.0509751.0958050.36124577.6052157.4852742.4012150.962183
32018-01-01 08:00:0033301.5531090.9066660.19746284.1013246.0521362.0411440.735601
42018-01-01 08:00:0033312.3875961.1710140.22857079.0859496.2575042.1809210.973069
..............................
3558222018-01-01 08:00:0064108014.28605310.6625872.24768563.08984812.1746394.2402121.772455
3558232018-01-01 08:00:006410818.2046755.9496251.10896669.09366512.2914084.7144681.449817
3558242018-01-01 08:00:006410829.5496543.5349340.33184375.83987211.0147884.2898041.357888
3558252018-01-01 08:00:006410837.5232003.5600010.10606776.00859011.5466333.0558170.782458
3558262018-01-01 08:00:006410845.8787653.6063620.16296477.61930810.5620713.0205940.671924
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355827 rows × 9 columns

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" - ], - "text/plain": [ - " Timestamp UK Model Grid ID nox Prediction mean \\\n", - "0 2018-01-01 08:00:00 3327 2.411720 \n", - "1 2018-01-01 08:00:00 3328 2.229689 \n", - "2 2018-01-01 08:00:00 3329 3.050975 \n", - "3 2018-01-01 08:00:00 3330 1.553109 \n", - "4 2018-01-01 08:00:00 3331 2.387596 \n", - "... ... ... ... \n", - "355822 2018-01-01 08:00:00 641080 14.286053 \n", - "355823 2018-01-01 08:00:00 641081 8.204675 \n", - "355824 2018-01-01 08:00:00 641082 9.549654 \n", - "355825 2018-01-01 08:00:00 641083 7.523200 \n", - "355826 2018-01-01 08:00:00 641084 5.878765 \n", - "\n", - " no2 Prediction mean no Prediction mean o3 Prediction mean \\\n", - "0 1.364011 0.272455 83.844075 \n", - "1 1.344347 0.331872 89.123890 \n", - "2 1.095805 0.361245 77.605215 \n", - "3 0.906666 0.197462 84.101324 \n", - "4 1.171014 0.228570 79.085949 \n", - "... ... ... ... \n", - "355822 10.662587 2.247685 63.089848 \n", - "355823 5.949625 1.108966 69.093665 \n", - "355824 3.534934 0.331843 75.839872 \n", - "355825 3.560001 0.106067 76.008590 \n", - "355826 3.606362 0.162964 77.619308 \n", - "\n", - " pm10 Prediction mean pm2.5 Prediction mean so2 Prediction mean \n", - "0 7.599225 2.018098 1.728254 \n", - "1 7.540469 2.207507 1.306306 \n", - "2 7.485274 2.401215 0.962183 \n", - "3 6.052136 2.041144 0.735601 \n", - "4 6.257504 2.180921 0.973069 \n", - "... ... ... ... \n", - "355822 12.174639 4.240212 1.772455 \n", - "355823 12.291408 4.714468 1.449817 \n", - "355824 11.014788 4.289804 1.357888 \n", - "355825 11.546633 3.055817 0.782458 \n", - "355826 10.562071 3.020594 0.671924 \n", - "\n", - "[355827 rows x 9 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Accessing air pollution concentration at: Latitude: 51.5 Longitude: 0.12 Time: 2018-01-01 080000\n" - ] - }, - { - "data": { - "text/html": [ - "
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geometry CentroidTimestampnox Prediction meanno2 Prediction meanno Prediction meano3 Prediction meanpm10 Prediction meanpm2.5 Prediction meanso2 Prediction meanPredicition LatitudePredicition LongitudeDistanceRequested LatitudeRequested Longitude
312545POINT (13208.557099999976 6676831.988)2018-01-01 08:00:0033.09126517.4367034.24592530.99031711.92555.1798181.97092251.5004160.1186540.00140851.50.12
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" - ], - "text/plain": [ - " geometry Centroid Timestamp \\\n", - "312545 POINT (13208.557099999976 6676831.988) 2018-01-01 08:00:00 \n", - "\n", - " nox Prediction mean no2 Prediction mean no Prediction mean \\\n", - "312545 33.091265 17.436703 4.245925 \n", - "\n", - " o3 Prediction mean pm10 Prediction mean pm2.5 Prediction mean \\\n", - "312545 30.990317 11.9255 5.179818 \n", - "\n", - " so2 Prediction mean Predicition Latitude Predicition Longitude \\\n", - "312545 1.970922 51.500416 0.118654 \n", - "\n", - " Distance Requested Latitude Requested Longitude \n", - "312545 0.001408 51.5 0.12 " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#The format for the UK dataset is year-month-day HourMinuteSecond\n", - "\n", - "uk_complete_dataset = ei_data.air_pollution_concentration_complete_set_real_time_united_kingdom(\"2018-01-01 080000\")\n", - "display(uk_complete_dataset)\n", - "\n", - "uk_single_datapoint = ei_data.air_pollution_concentration_nearest_point_real_time_united_kingdom(51.5, 0.12, \"2018-01-01 080000\", uk_grids)\n", - "display(uk_single_datapoint)" - ] - }, - { - "cell_type": "markdown", - "id": "e8ac4ecb-06f9-4a21-9d66-a442d6a30f18", - "metadata": {}, - "source": [ - "# Visualise the different datapoints that have been loaded in. In both the [UK Daily Air Quality Index](https://uk-air.defra.gov.uk/air-pollution/daqi), and the higher level Daily Air Quality Bands" - ] - }, - { - "cell_type": "markdown", - "id": "a7bc8b76-ac4b-4b86-ad29-5395c68fa752", - "metadata": {}, - "source": [ - "### UK Model Visualisation" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "c736dcd3-251d-4ef5-904c-3b1941d923d4", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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rViFtEzQAAKCiXvWqV8Wtt966231vf/vb4/DDD4+zzjqrsJARIWgAAEBlzZs3L4488sjd7tt3331j//333+P+vLnqFEBNmTYFQJFUNAAAoKMFsXOn7rx3Bl8w0CPccMMNSVoyKEEDoOJULna+Bk3ZDR3I0+KI2BD97tTdnwVjz1t9ggZAhQkZAFlbHHUZ+OdN0ACoIAEDgLKzGBwAAEhORQOgIlQxAKgSFQ2AChAypmchOED5CBoAVJqQAVBOggZABRhMA1A1ggYAlSWAAZSXxeAAADCV7ZsiHstxw77hBRGz67Fvh6ABUAEWgwMUYPumiNuWRbS35fecQyMRR2zoOmycffbZ8ZGPfGS3+w488MDYsmVLFq3rialTACUnZEzNawNk6rF78g0ZETufr8cKyvLly2Pz5s27/rv11lszalxvVDQACtRpoDy+7sAgGoBuDA8Px8KFC4tuxh4EDYAcdRMeBAwAevHTn/40DjrooJgzZ0686EUvinPPPTd+//d/v+hmmToFQLUJZkCTvehFL4ovfOELcc0118RFF10UW7ZsiRe/+MVx7733Ft00FQ0AAKiqlStX7vr/o446Ko4++ug45JBD4tJLL40zzzyzwJYJGgC5cNY9W+Ovr301gKbbd99946ijjoqf/vSnRTfF1CkAAKiLRx55JG677bZYtGhR0U0RNACy1Bq7kQ+vNdA073vf++LGG2+MjRs3xve+97046aST4ne/+12sXr266KaZOgWQBQNeAPLwq1/9Kt74xjfGPffcE0972tPiD/7gD+Kmm26KZzzjGUU3TdAAAICOhhfs3Kk7753Bhxd0/e1XXHFFho0ZjKABkJBKRrEsBgeSmr044ogNPe/UPZDhBTuftwYEDQAAmMrsxbUZ+OdN0ABIQCWjeKoZAOXiqlMAAxIyAGBPggYAAJCcoAEwANUMAOhM0ADok5ABAFMTNAB6ZLfvcvKeAJSLoAEAACTn8rYAPRqNUWfPS6oVLZe5BdLauiliW44b9o0siJhbj307BA2APggbAA2wdVPEPy+L2LEtv+ecNRKxakNPYePXv/51nHXWWfH1r389Hn744XjmM58ZrVYrnve852XY0JkJGgDUyngAVNkABrbtnnxDRsTO59t2T9dB47e//W285CUviRUrVsTXv/71OOCAA+KOO+6I+fPnZ9vOLggaAH1QzSg/06iAJvj4xz8eBx98cFx88cW77luyZElxDZrAYnAAAKior33ta/H85z8/Tj755DjggAPiuc99blx00UVFNysiVDQAuqaKAUDZ/PznP481a9bEmWeeGR/84Afj+9//fvzZn/1ZzJkzJ9761rcW2jZBAwAAKurxxx+P5z//+XHuuedGRMRzn/vc+PGPfxxr1qwpPGiYOgUAABW1aNGieNaznrXbfUcccURs2rSpoBY9QdAA6IJpU9XkfQPq7iUveUls2LBht/tuv/32eMYznlFQi54gaABQa8IGUGd//ud/HjfddFOce+658bOf/Swuv/zy+NznPhenn3560U0TNABmYqAKQFm94AUviLVr18aXv/zlOPLII+OjH/1oXHDBBXHKKacU3TSLwQEAoKORBTt36s57Z/CRBT39yGte85p4zWtek1GD+idoAExDNaPabNgHDGTu4ohVG3bu1J2XkQVd7wpedoIGQAcCBgARsXPQX5OBf96s0QCYRMgAgMEJGgATCBkAkIapUwAhYABAaoIG0GgCBgBkw9QpAAAgORUNoDFUL5pn/D13mVuA/KloAAAAyaloAFB7rWipagD9uffeiK1b83u+uXMj9t8/v+fLkKABAACd3HtvxF/9VcRjj+X3nMPDEf/3/3YdNpYsWRJ33nnnHvefdtpp8ZnPfCZ163oiaACNYH1Gs6lmAH3ZujXfkBGx8/m2bu06aKxbty527Nix698/+tGP4thjj42TTz45qxZ2TdAAak3AIMLUKaC+nva0p+3274997GNxyCGHxMtf/vKCWvQEi8GB2hIyAGiS7du3x2WXXRbveMc7YmhoqOjmCBpAPQkZTOZvAqi7r371q3HffffF2972tqKbEhGCBgANImwAddZqtWLlypVx0EEHFd2UiLBGA6ghg0kAmubOO++Mb3zjG3HVVVcV3ZRdVDSAWhEyAGiiiy++OA444IA4/vjji27KLioaQOUJF/TCFaiAunn88cfj4osvjtWrV8fwcHmG9yoaAABQYd/4xjdi06ZN8Y53vKPopuymPJEHoIOJ1YpOZ6FVMwDIzNy5O3fqzntn8Llze/qR4447LtrtdkYN6t9Qu4ytAgghgmyZPgWM27ZtW2zcuDGWLl0aIyMju3/x3nt37tSdl7lzu94VPEvTviZdUtEAoJGs1QC6sv/+pRj4V5E1GkBpjY7dICuqZgDZETQAAIDkBA0AACA5QQMoNVNbyJq/MYBsCBoANJ6wAZCeoAGUlsEfAFSXoAEAACRnHw0AAJjKpk0R99yT3/MtWBCxeHF+z5chQQMoJdOmyNv435y9W4BdNm2KWLYsYtu2/J5zZCRiw4auw8Zjjz0WZ599dnzpS1+KLVu2xKJFi+Jtb3tb/NVf/VXstVexk5cEDQAA6OSee/INGRE7n++ee7oOGh//+MfjH//xH+PSSy+N5cuXx/r16+Ptb397POUpT4kzzjgj48ZOzxoNoHRUMyiSvz+gSr773e/GCSecEMcff3wsWbIkTjrppDjuuONi/fr1RTdN0ADKxSCPMmiN3QDK7qUvfWl885vfjNtvvz0iIn7wgx/Et7/97fjjP/7jgltm6hRQIgZ2ANCbs846K+6///44/PDDY9asWbFjx44455xz4o1vfGPRTRM0gOIJGADQn6985Stx2WWXxeWXXx7Lly+PW265Jd773vfGQQcdFKtXry60bYIGkIlO4aHT1XyEDADo3/vf//74wAc+EG94wxsiIuKoo46KO++8M84777zCg4Y1GkBywgMA5OOhhx7a4zK2s2bNiscff7ygFj1BRQMYSC+hYvL32q+AMvP3CVTBa1/72jjnnHNi8eLFsXz58vjv//7v+OQnPxnveMc7im6aigZQnFa0DOYAKK8FC3ZuoJenkZGdz9ulv//7v4+TTjopTjvttDjiiCPife97X5x66qnx0Y9+NMNGdmeo3W63i24EUE2mSFFnQjA0x7Zt22Ljxo2xdOnSGJkcLDZt2rmBXl4WLOh6s74sTfuadMnUKQDoQMUNiIidg/4SDPyryNQpAAAgOUEDAABITtAAetIau0XsnMNuagkA0Ik1GkBXplv4PTFsWCBOXQjRAIMRNIC+TFwoK1wAAJOZOgXMaKogMXEaFdSNv22AwQgawLQMtgCAfpg6BXQkYAAAgxA0AABgCls3bYptOe4MPrJgQcytyQaBggYAAHSwddOm+MqyZbFj27bcnnPWyEi8fsOGnsLGAw88EH/9138da9eujbvuuiue+9znxqc+9al4wQtekGFLZ2aNBgAAdLDtnntyDRkRETu2beu5gvLOd74zrrvuuvjiF78Yt956axx33HHx6le/On79619n1MruCBrAHqzPgJ18FoCye/jhh+PKK6+MT3ziE3HMMcfEoYceGmeffXYsXbo01qxZU2jbBA0AmIawAZTZY489Fjt27IiRkZHd7t9nn33i29/+dkGt2knQAHZjUAV78rkAymrevHlx9NFHx0c/+tH4zW9+Ezt27IjLLrssvve978XmzZsLbZugAQAAFfbFL34x2u12/N7v/V7MmTMnPv3pT8eb3vSmmDVrVqHtEjQAAKDCDjnkkLjxxhtj69at8ctf/jK+//3vx6OPPhpLly4ttF2CBgAA1MC+++4bixYtit/+9rdxzTXXxAknnFBoewQNAOiCdRpAWV1zzTVx9dVXx8aNG+O6666LFStWxLJly+Ltb397oe0SNIBdDKQA4AkjCxbErElXc8rarJGRGFmwoKefuf/+++P000+Pww8/PN761rfGS1/60rj22mtj7733zqiV3bEzOAAAdDB38eJ4/YYNPW+gN4iRBQt62hU8ImLVqlWxatWqjFrUP0EDAACmMHfx4p4H/uxk6hQAAJCcoAHsMhqjRTcBAKgJQQMAuuSCCQDdEzQAoAfCBkB3BA1gFwMoACAVQQMAAEhO0AAiQjUDeuHzAjAzQQMwaII++NwATM+GfdBgBkowmFa0XBYaam775ojH7svv+YbnR8xelN/zZUnQgIYSMiANYQPqa/vmiJ+cGNHent9zDs2OeNZXuw8b3/rWt+L888+Pm2++OTZv3hxr166NE088cdfX2+12fOQjH4nPfe5z8dvf/jZe9KIXxWc+85lYvnx5Ju2fyNQpABiQ4A719Nh9+YaMiJ3P10sF5cEHH4znPOc5ceGFF3b8+ic+8Yn45Cc/GRdeeGGsW7cuFi5cGMcee2w88MADaRo8DRUNaBgDIgCoj5UrV8bKlSs7fq3dbscFF1wQH/rQh+J1r3tdRERceumlceCBB8bll18ep556aqZtU9EAgASEeKBsNm7cGFu2bInjjjtu131z5syJl7/85fGd73wn8+dX0QCARCaHDWs3gCJt2bIlIiIOPPDA3e4/8MAD484778z8+VU0oEGccYV8+cwBZTA0NLTbv9vt9h73ZUHQAACAGlq4cGFEPFHZGHfXXXftUeXIgqABDeHMKuRrdOwGUJSlS5fGwoUL47rrrtt13/bt2+PGG2+MF7/4xZk/vzUaAABQUVu3bo2f/exnu/69cePGuOWWW2K//faLxYsXx3vf+94499xz47DDDovDDjsszj333HjSk54Ub3rTmzJvm6ABDaCaAQC9G56/cwO9vDfsG57f/fevX78+VqxYsevfZ555ZkRErF69Oi655JL4y7/8y3j44YfjtNNO27Vh37XXXhvz5s1L3PI9DbXb7XbmzwIURsiA4pg6BdWwbdu22LhxYyxdujRGRkZ2+9r2zb1toDeo4fnd7wqepelek26paECNCRkAMJjZi8ox8K8ii8EBICPCPtBkKhpQQwY3AEDRVDSghswLh/IYD/5OAABNI2gAQE6EDSg310h6QorXQtAAgIxNDBjCBpTPrFmzImLnZnbs9NBDD0VExN577933Y1ijAQAZGI3RKUNFK1qmOEKJDA8Px5Oe9KS4++67Y++994699mruufh2ux0PPfRQ3HXXXTF//vxdIawf9tGAmnLWFKpH+IDibN++PTZu3BiPP/540U0phfnz58fChQtjaGio78dQ0QAAoPFmz54dhx12mOlTsXO61CCVjHEqGlBTKhpQTaoaQF2oaABAiUw8SSB0AFXW3JUuUGOqGVAPPstAlQkaAFBirbHbVP8GKCtrNKCGDEKgOUyvAspKRQMAKsyJBaCsLAYHgIqbLmyoeABFUdGAmnF2E5hInwAURUUDAGquU9hQ6QCypqIBAAAkJ2gAAADJCRoA0EDWbgBZEzSgRgwcgF6M9xk2AQSyYMM+qAmDBCAFi8SBVAQNqDgBA8iCwAEMytQpAAAgOUEDANiDaikwKEEDKs70BiArwgYwCDuDAwBTsqs40C8VDagBB30gTyodQDdcdQpqxgAAyIuTHMB0VDQAgL7Y6A+YjqABAAAkZ+oU1JAzjEARTKUCJlLRgBpysAeK4CQHMJGgATUlbAAARRI0AIBkVDWAcYIG1JiqBgBQFIvBoSGcZQTy4AQHME5FAwAASE7QAAAAkhM0oCFMZwDyYJomME7QgAYRNoA8CBtAhMXg0EgGAUCenOSAZlLRgAZy0Afy5OQGNJOgAQ0lbAAAWRI0AIDMqWpA8wgaAABAcoIGAJALVQ1oFkEDGsw6DQAgK4IGNJywAeRJVQOaQ9AAhA0AIDlBAwDIlaoGNIOgAUSEqgYAkJagAewibAAAqQgaAABAcoIGAACQnKABAAAkJ2gAAADJCRoAQO5c4hbqT9AAAACSGy66AQBAM02sari8NtSPigYAAJCcoAEAACQnaAC7MX0ByJt+B+ppqN1ut4tuBFA+rggD5E3ggHpR0QAAAJITNICOnFkE8qaSCvUiaAAAAMlZowFMyxlGoAiqqlB9KhrAtAY92BssAP1wkgOqT0UD6Eo/B/2JIcOgARiEkxZQPSoaQCZSDQoMLoCInScrnLCAahE0gK70MuCf/L2DDA6yGFgIL1BdwgZUh6ABNMpojBqoQIU5UQDVIWgAXev2AD9xIJ9qUJ9qcCFkQHUJGVAtggbQk6IO9P0GhNGxGwCQr+GiGwDUT8qB/fhj9RI0Uq4RAcqjFS0nDqBCBA2gZ5MH/1Md+A3wAaC5TJ0C+jbTtKSUm/05iwlEOIEBVSJoAJkpy4DAOg2ol7L0LcD0TJ0Ckip6ACBQQDNYrwHlp6IBVIZBBTBRa8INKB9BA0gqVRjIIlQIKlBfQgeUj6lTQOn0ssB8fPqEaRTAuJmuiAfkQ0UDqLTxgYQBBTCZCgcUS9AAAGpN2IBiDLXb7XbRjQDqZZCDep6VCYMPaC5VUMieigYA0DhONED2BA2gNJxhBID6EDSAUsg7ZDibCQDZEjSAwgkZQN5UUCF7FoMDmZg4mB/f56ITIQPIgiABxVPRADLRzf4WBgJAFvQtUA6CBpCZsoUM1QwAyI+gAeSi6DOMQgY0Q9F9DfCE4aIbAJAV4QIAiqOiAeRmdOwWIQQA6almQLm46hRQO0IMNI+QAeWjogEAACQnaAAAAMkJGgAAQHKCBlAr1mcAQDkIGkBtCBkAUB6CBlAbEy+fCwAUS9AAAACSEzQAAIDkBA0AACA5QQMAAEhO0AAAKs9V56B8hotuAEBqE688ZfABAMVQ0QBqS8iAZvGZh3IRNIDasqcGABRH0AAAAJKzRgOoJVMoAKBYKhpALZk2BQDFUtEAKm9y9ULIgOZqRUsfACUhaACV1mmKlGlTAFA8QQOoJGECAMptqN1ut4tuBEC3BAygG6ZPQfEEDaC0hApgEMIGFMtVpwAAgOQEDQAAIDlBAwAASE7QAABqyTovKJagAZSWhZzAoIQNKI6gAQAAJCdoAKXlTCSQgr4EiiFoAAAAyQkaAABAcoIGAFB7pk9B/gQNAKARhA3Il6ABADSGsAH5ETQAAIDkBA0AoFFUNSAfggYA0DjCBmRP0ABKySAAAKpN0ABKaTRGi24CUHNOaEC2BA0AACA5QQMAaCxVDciOoAGUkoM/kBf9DWRD0AAAGk/YgPQEDQCAEDYgNUEDAABITtAASsnlbYEiqGpAOoIGAACQnKABADCBqgakIWgApWX6FFAUYQMGJ2gAAHQgbMBghtrtdrvoRgDMxAEfKIrqKvRnuOgGAHRjNEaFDWiYTgN8/QBUh4oGUGlTDToEE6iubioIeX++VTWgd4IGUHkCBWRnqgF2ys9dv4P4PD/7ggb0ztQpAGAPkwfWEwf1o2O3QQb6/VQtihzst6IlbECPVDSAylPRgPTGB9XTTU+c6uuDDMhn+jxPfOwiPvvCBnRP0AAqTciA9LqpVqQccPf6OZ6u2pI1QQO6J2gAlSRgQPG6HXSn/rwWfTUqYQO6Y8M+AKAv3Qzu63hSoI6/E2RBRQOoFAd4KK+Z1nVk8VyTqWxAeahoAJUhZEC5tcZueT0XUG6CBgBQG3lWGYQdmJ6gAQBU0kyX3i2yDYCgAQDUkPUTUDyLwYFKcNYQmM50waLIxenQZCoaQOkJGcAghAAoxnDRDQCYjpABdKMVraSBogyXz4WqM3UKKDUHdaAXg06hGmS3c5UT2J2gAZSWkAH0Y6YB/+S+pd+AkOpxoK4EDaC0BA2gX3kN+oUNmJqgAZSSkAGkksfgf7zPEjTgCa46BZSOkAGk5PK2UAxBAwAASE7QAABqL+uqhkos7EnQAAAaIaswIGRAZxaDA6XigA3kbZD1FRaBw9RUNIDSEDKAIvTb9wgZMD1BAwBovH7DhpABUxM0AACi97AhZMD0BA2gFEybAoB6ETQAAMY46QHpCBoAABMIG5CGoAGUgrnOQJkIGzA4QQMoDWEDAOpD0ABKRdgAymK8qqG6Af0RNAAAZiBsQO+G2u12u+hGAEzmoA6UnQosTE9FAwCgR6Mx6oQIzEDQAADoU2vsBuxJ0AAA6FErWrtNnRI4YE+CBlBK5j4DZTcxWIz3WcIGPEHQAAAYkIABexI0gNJS1QCqSOiAnQQNAAAgOUEDAABITtAASs30KQCoJkEDKD1hA6ga6zQgYqjdbreLbgTAZJMP0nbhBarIiRKaTEUDKB2BAgCqT9AASkXIAOpEn0aTmToFlIYDMlBXplDRRMNFNwBAwACA+lHRAArRT7iwIByoMlUNmkZFA8iVoAAAzaCiAeRGyACaTlWDJnHVKSAXqUKGgzQAVIOgAQAAJCdoAJWjqgEA5SdoAJUyPgVrdOwGUCXWqtEkggZQOQ7UQJXpw2gKQQOoJJUNACg3QQPIRRZhYOJZQWEDAMpF0AByk3UYSPn4gguQJdOnaAJBA8hV1lOd+n3syT9nEABkTT9D3QkaQCGyDhu9Pr4DPgCkJWgAhUkRNqYLCKY/AUBxhotuAMCgWtGaMlRMFzYmXrlKRQMA0lLRAGqhn6AwcYqV6gcApCVoAAAURDWVOhtqt9vtohsBNFvqA+1U1QkHdKCsVFWpIxUNoHZaY7fJ9wEA+VHRAEpBEACaTlWDulHRAAAAklPRAEpFZQNoMlUN6kRFAygNIQNoOv0gdSJoAAAAyQkaAABAcoIGUBoTd+oGAKptuOgGAEw2OWyYswwA1eOqU0BlCBxAU6juUgemTgGV4cALANUhaACVImwAQDUIGkDlWDQOAOUnaACVJWwAQHkJGgAAQHKCBlBpqhpAHbnKHnUgaACVJ2wAQPkIGkAtCBsAUC6CBlAbwgYAlIegAdSGOc0AUB7DRTcAYBDCBQCUk4oGUFlCBgCUl4oGUCnCBQBUg4oGAACQnKABVMro2A0AKDdBA6gkYQMAyk3QACpL2ACA8hI0gEoTNgCgnAQNAAAgOZe3BSpvYlXD5W8BoBxUNIBacVUqACgHFQ2gdlQ1gCpzsoS6UNEAAACSEzSA2nE2EKgq/Rd1ImgAteRgDVSNfou6sUYDAKBAAgZ1paIBAFAQIYM6EzSA2nIAB4DiCBpArQkbQFnpn6g7azSAWrOnBlA2AgZNoaIBAJATIYMmETSAWnNQB8pCf0TTmDoFAJAhAYOmEjQAADIgYNB0pk4BtedgD+RNvwOCBtAQDvpAXvQ3sJOgAQAAJCdoAAAkopoBTxhqt9vtohsBkLfxjfzGBwU29gMGJWTA7gQNgDGtaMVojAodQM+EDNiToAHQgbABdKvsIWNiBXdyNXfi1zvp9vum+7lu2tbPz1J+9tEAmETIAKpupn6s234uy/5wqsfuFIaoJkEDqCQHIqAMqtQHlfUkyuTXcLyd+vnqM3UKqIw8S+xlPSAD5VHGAXBT+q4yvvbsSUUDqLTxBdyT7xvnYAQ0RVNCRsSev6u+vpxUNIBKSHEA7eVA1KQDNtC7Mg5s9VtTK+P71QQqGkBjdKp+AFB/KiDFEDSA0nOWDmB6+snemGKbD1OngFLI+yA53boOgKmUdVCqD0ujrO9vVe1VdAMAij5AFv38QHXoL+rN+5uWoAE0koMJ0I8ynvHWn6Xl9UxH0AAazQEF6IU+oxm8z2kIGkBjOZAA/dB3NENr7Eb/LAYHCqMDB6qu6KlU+tF8FP0+V5WgARTCwRGoo7wHpPrS/Akd3TN1CgAgEQN/eIKgAQCQUF5z+4WaYnjduydoAIUYHbsBQNUIG90RNIDC6KgBqCrHsJlZDA7kTucMNEVWlVv9aLmo0HemogEAkJHUgcDeDlSJoAHkzpkfAOpEAOxM0ABypzMGmiRVn6fvLD/v0e4EDQCAkjOArQ7v1RMEDQCAjA0ytcbAtXq8Zzu56hSQK50vwMxGY1R/WQNNX5MoaAC5cuAEoGmaGjhMnQIAgAw19SSboAHkqqlndQBotiaGDUEDAABy0LSwYY0GULhWtHZVOprWCQPQPE2p7qtoAIVrSocLABHNOakmaAClInQA0ARNCBumTgGl1YROGIBmq/MJNkEDqAzBA4A6qmvYMHUKqAQhAwCqRdAAKqGuZ3sAoK4n0wQNoDKEDQDqqo5hQ9AAAIASqFvYEDSAShkdu43/PwDUSZ3CxnDRDQDoRqeOt06dMQDUjYoGAACQnKABAAAlUpeKvaABlF5dOlwAaBJBAyg1IQMAqknQAACAkqnDiTZBAwAASE7QAAAAkhM0AACA5AQNoLTqMD8VAJpK0AAAgBKq+gk3QQMAAEhuqN1ut4tuBMBEVT+DAwApjcZo0U3oi4oGAACQnKABAAAkJ2gAAADJCRoAAEByw0U3AGCcReAAUB8qGkBpVPWqGgAwiOmOf1U+NqpoAKWgmgFAU9X1GKiiARSurh0sADSZigZQGAEDAOpLRQMAAEqqyiflBA2gML0scKvyYjgAGDc6duvl+6tK0ABKb7yTrXJnCwBNI2gApSZcAFAX48e0Kk+H6oWgAZSWkAFA3TQlZEQIGkDBOoWJXuevAkAVNClkRAgaQMF66XSb1kEDQJUJGgAAUFJVPslmwz6gFKabKlXlThYAmkrQAAplLQYA1JOpUwAAUGJVrewLGgAAQHJD7Xa7XXQjgGar6pkaAMhT1aYbW6MBFEbAAID6EjSA3AkYAFB/1mgAuRIyAKAZVDSAXAgYANAsggaQKQEDAAZTtUXg40ydAjIjZABAcwkaQCaEDABoNkEDAABKqqrTpiIEDQAAIAOCBgAAkJygAQAAJVTlaVMRggaQkap3jgDAYIba7Xa76EYA9eYKVADQnyqfuFPRADJX5U4SAOiPoAHkQtgAgN5U/dgpaAC5GR27AQD1J2gAAADJDRfdAKB5JlY1LBQHgHpS0QAAAJJzeVugFFQ2AOAJdVjTqKIBlEIdOlQA4AkqGkDpqG4A0GR1OfmmogGUTl06WADoVZ2Oga46BZTSaIzuUdno1PmqfgBAOQkaQGnV6awOADSNqVNAZalmAEB5qWgAlSJcAFBXdavkq2gAAADJCRpAZahmAFBXdatmRAgaAABQqDqGjAhBAwAAyICgAQAABalrNSNC0AAAgELUOWRECBoAAEAGBA0AACC5oXa73S66EQD9cslbAKqo7tOmIuwMDlSEQAEA1SJoAKUlXABAdVmjAQAAJCdoAAAAyZk6BZSOKVMAUH0qGgAAQHKCBgAAkJygAZSKaVMAUA+CBlAaQgYA1IegAZSCkAFAUzRhV/AIQQMoiaZ0ugDQFIIGAACQnKABlIKpUwBQL4IGUDghAwDqR9AACiVkANAkTVqTKGgAAADJCRpAoZp0ZgcAmkTQAAo3OnYDAOpjuOgGAM1mjQYA1JOKBgAAkJygARRGNQOAJmnaNGFBAwAASE7QAApjETgA1JegAQAAJCdoAIWyTgOAJmhiBV/QAAAAkhM0AACA5AQNAAAgOTuDAwBABpq4LmMiFQ2gUE3vhAGoJ8c3FQ0AAEhGwHjCULvdbhfdCACXuQWgygSMPZk6BZSCDhqAqnIM60zQAACAPgkZUzN1CigVU6gAqAIBY2YqGkBpCBkAUB+CBgAA9EA1ozuCBgAAdEnI6J6gAZSGzhsA6kPQAACgdkbHbhTHVaeA0rEoHIAyElx6o6IBAEAjDBIUhIzeDRfdAAAAyEM/FXMBo38qGgAA0IGQMRhrNIDSslYDgKIIGYNT0QBKSycPANUlaAClJmwAMJ3RCbdefmaQr9MdU6eASjCNCqDZRmO047FgqlAw/r0Tv96K1q7H6fR4AkZaggZQGcIGAJPDwExhYbpjx+SwIWikJWgAlSFoAJDSeLAYr3CQljUaQG05aADQyeQ1HY4X2RA0AABoDKEiP6ZOAZU005zbbr8XgGYRNPKjogFU0lQHCgcQAKbiGJGv4aIbAJDCdAePiYv9AIB8mDoFNI7AAdBMKhr5EjSAxhI4AJpBwCiGNRoAANTS5MvYOsGUL0EDaKzJByAA6q81diN7ggYAALUzGqPTBgphI3uCBtBoDjQA9TTev+vni2MxOEA4EAE0jamz2VPRAACgUYSMfAgaAOGgAwCpCRoAY4QNgPrT1+fHGg2ASVrRct11gBoSMvIlaAD0QOgAqC5BI1+mTgEAUHtCRv4EDQAAak3IKIagAdAl06YAspNVGBAyiiNoAABQuMkX4hjU6NiN4ggaAACUQqrKsYBRDsNFNwAAACaHg15Dh3BRPoIGAACFGTQgCBjlZeoUQBfyXAjuoAk0hf6u3lQ0AADIVIpAIZRUj6AB0IXRGM28quEgCvAEfWL1CRoABZt4MLVXB1AnwkKzCRoABRIygLqarn8TQJpB0AAoSB7TsQCKMNNJlNSb81FOggZAF1IHAiEDqLKJfdh0gUE/12yCBkDOhAygSqYKFTNVJPRzCBoAOXPwBaqm12lO+jkiBA0AAKYxMTRMDhwCBdMZarfb7aIbAVAFDqgA6VgMXn97Fd0AgCoYNGSMjt0AoCkEDYAu9BsSBAwAmkrQAMiIucwANJnF4AAJCRcAsJOgAdCl6fa/EDAAYHeCBkAXpgsO1mAAwJ6s0QBITDUDAAQNgK6oWgCko09tBkEDYADWZgBAZ4IGQJ+ckQOAqQkaAImoZgB15uQKvRI0APrggAs0jZMp9ErQAOjSdOHCARhgZqNjN5rBPhoAAxIyAPYkUCBoAPRJwACAqQkaAD1whg4AumONBkAfVDMApuakDBEqGgAADEiwoBMVDYAeqWYAwMyG2u12u+hGAFSBgAEwNVUNJlPRAAAAkrNGAwCAgU2s+qpuEKGiAQAAZEDQAAAAkhM0AABIxrQpxlmjAdAFV5wCqqrTwH+8T5vua4M+B7i8LcAMhAygqlIFgOn6QSGDqZg6BTANIQOq6zPxzqKbUKiUAWB0wg26paIBMAUhA6g6wYAiqWgAANSUEyYUyWJwgA4cnIEqULGgzAQNoPGECsjWZ+KdcXr8U9HNAHJmjQbQaEIGUGXjFY2JfdnEKsd0l7GFrAkaQCMJGEDWOoWALJ6j38cXPsiaoAE0jpABMDUBhFSs0QAAYJeppmFBr1zeFmiM1tgNoKx6GdjnEQL0mwxC0AAawYESqIJu+yqVBqrA1CkAgArodDUpKDNBA6g9B2SgDvRlVI2gAdSaAzPA9CZPw9JvkorL2wK15WAJMD1rPciSigYAALvpdKJGKKFXrjoF1JJqBgAUS0UDAKAh+q1KqGbQD0EDqB3VDIDdCQoUwWJwoLIECoDedAocE/vS8a9P1b82KbB4DQanogFUkpAB0LvJoaLXvrQVrVoOtB1TsqGiAVSWAwNAet0EkLKHjU5Vmqm+3o+y//5lIWgAlSZsAOSvbAPtvI8FZfv9y8rUKQAASs1JpWoSNIDKcuABqCf9ez0IGkClOPgAFK+XvriXaUb6+HqxRgOoHAcigGrpdNncfq56VQbWZ3RP0AAqqYoHJwCqT9Do3l5FNwCgV0IGAJSfoAEAACRnMThQGSoZAOTFFKnBqWgAAADJCRoAAEByggYAAJCcoAEAACQnaAAAAMkJGgAAMIkrHQ5O0AAAAJITNIBKcGYJAKpF0AAAgA6c5BqMoAFUgh1aAaBaBA0oidbYDQAoD8fm/gkaUAI6se6oagBAdQwX3QBomvFQMT5onhwyOoUOA2wAoGoEDUiol8rEIN87U/CY7rGFFgAgD4IGVNB0VY+ZAszEr1ctdJhiBgDVMdRut9tFNwLKqNOAvI4D3SqEjTq+7gBURxWOlWUkaNB4BrG7y6Mznek1r3OwA6B6BI3+mDpFoxi4FqPX1937BADVJ2jQGAav+fOaA0BzCRrUnsFub1rRGrhE7DUHAAQNYA9TBYXRGJ32qlUCBgAwzmJwGsMgGADoh8Xg/dmr6AYAAAD1I2gAAADJCRoAADAF06b6J2jQCNZnAADky1WnqCXBAgAYlGrGYFx1iloTOACAfggZgxM0qD1hAwDohnCRljUa1JqQAQBQDBUNak/YAACmo5KRDRUNak/nAQBMx0nJbLjqFAAAjeIkZD4EDQAAakmgKJapUwAA1I6QUTxBAwAASE7QAAAAkrNGg0YZjVFXlgCAijMtqhpUNKi9ycFC5wQA1TQ6dqMaVDRoFNUMAKge4aKaBA0AAEpJwKg2U6cAACgdIaP6VDSoJVOkAACKJWhQO0IGAFSXSkZ9CBoUYqowoHMBgOYyDqgXQYNSGfRStKoZAFBNQkb9WAxO7noJA4IDANSfkFFPggal123YEEoAAMrD1CkqodOUKsECAKpPNaO+VDSoJCEDAKDcBA0AACA5QQMAAEhO0AAAAJITNAAAgOQEDXJlETcAQDMIGgAAQHKCBrlRzQAAaA5BAwAASE7QIDd2/gQAJjPjob6Gi24AzaATAYDq6/akoeM+EYIGAABd6GVmQqfvFT6aZ6jdbreLbgT1pmMBgGoz/Zl+WKMBAMCUhAz6JWiQOR0UAFSTYziDEDQAaDyDKdiTzwWDshgcgMZrRWu3QZW1ZTSdkEEKKhoAAEByggYAxO5VDGdzaarRsRuk4PK25MI0BKAqTKGiaQQLsqKiQS50YkBVCBc0heoFWVPRIBcO3EBVjQ/E9GNUjRBB0VQ0yIXODqA3zjYzCH87lIGgAQBdGHTgluLnO4UPA0rGTfU3AkWxjwa5MOUAqKqJe2wMOo2q00LzyYPCyY9t0Mhk/iaoCms0yIWgAdTBoFekSjVAbGqfOvn17/R61vm1ETCoGhUNAOiDReL5mGpw3e39dXl/hAyqSEWDXNSloweaq5uBXrd9XYpB4+QNBuvQz2Y9mJ5YBanC6yVcUHUqGgAwg24HfHkO+KsSLjq1s6gB9MTnLfvrJ2RQB4IGAEyjzAO+Mpyd7+b1KetrWNZd4Mv6ekGvBA0ASCjPM+VlDxhVUtbQAVUmaADAFPodTJeh0pBS3ULFTMo+rQqqwmJwMqWjBqoiy8H0VHtmpHzsFJoWKAaR+vjmtaeOBA0yIWAAVVP1gd4g/W7Vf/eiCHkwPVOnSE7IAKqgbgO7fqf71O11qCLvAXWlokFyggZQVk0Z0OW5nweqSTAVQYNkBAygbJo8iJupT27ya5O1Xo6H3gfqTNAgCSEDKBsDuJ2m6p+9PvnxHtBU1mgAUCqdBl9OZvTPpVqLJ1DQVIIGUCuTD+gGWNUy1YCs183UDOym5/UB8mDqFEkYzFEG3Qye/K2WVz+D307vp0H01FrR8voAuRE0GIhBG2UwyMDJ33B2ZnpfJr/2g76P41OEDKQBykHQoG8GaJRBqkGlv+fdTTevf6Y5/0UN9LPcfRuA3gka9MWgjCxNt84ij0Fkk/++J4eIbqsSBvcATGYxOD1r8iCMYuQ9iG3qVXqa+nsDkA0VDbpmAEIeynZmvOl/99O9H6oZAExH0KArTR9sMbiqD0Z9BjpfYrbq7ysA2RE0mJbBFf2q4wDU56GzOr7XAAxO0GBKBlXNkXJuflMGnT4fOzXl/Qagd3sV3QCgeKn2HmjSoLNJvysA9EPQAJJo4sB7dOwGAOxJ0AAiIl1VAwAgQtAAGFiTA1pr7AYAkwkawMCaPNAeZxoVAOzOzuB05AwlMzGo7mz8denlM9TLa1m2z6a/AwCmImgAPTGwLFan13+q8JHyssXdtgUAxgka7KFsZ0wpDwPL7vVT2Rj0uYpuBwBMZI0GsMv4lacm3hhMWV7Die9nqjYJLwBMx87gDTb5cqYGDUSUZ2BcNzN9vop43VN85v29ADAVQaPGJg4iTJ+gGwaN2ev0uSyTrBaxA9A81mjU2MSFoAIGMzFopBN/FwD0yxoNwGAyR1V6ravUVgDKx9SpGhqvXmR9aUvqw4Ayf50+m94HAOpERQOgAEIFAHUnaNRIa+wGVIOwAUCdmTpVQcIEqRjoFm/y59l7AkBdqGgAFMRJAwDqTNCoIGc8oR4mf5Z9tgGoE0EDGsqgtnhl37wPAAYhaAAUTMgAoI4EDWggA1sAIGvDRTeA3llACvUg8AFQZyoaAABAcoIGAACQnKABAAAkJ2gAAADJCRrQQK2xGwBAVgQNAAAgOUEDAABITtAAAACSEzSgISZuDjc6dgMAyIqdwaEBxkOFcAEA5EVFo2JcKQgAgCoQNCpEyAAAoCoEjZIbDxdCRhqmDgEA5EPQqAAhAwCAqhlqt9vtohvBTgIFeVHZAQCypqIBDdQauwEAZEXQAAAAkhM0SsLZZfJm+hQAkCVBg1oyiJ6ZcAsAZMnO4NSSQfT0BDEAIGuCBo0xcXAtiAAAZEvQoPTGA8Kg4UC42Ek1AwDIg300SsIgeHf9DoZ7fR2bWuUQNgCArFkMTukMMggeHbvl/bxV0pTfEwAolqBRMBunZaOfwbT3AQAgHVOnClSlge3kgXvKto/GaLSildmZ9sltne55qvSedEsFAwAogqBRgCoNZqcapHb7O0y1kDvvwW+3z1+l96YbQgYAUBRXncpR3QaxE800oC1ywNvpdc+yglIGdf7dAIBqEDToy/h0p/H/r4pu25rqkrpFqNL7AQDUl6lTOarioDWi2QPXqr1nTX6vAIBycdUpGMAgl9NNrSztAACIUNHITdXOjEcYuE7Wz1SxvN537xUAUDaCRg6EjGbL+v33XgEAZWTqVMaqGDIiqttuAADKQdDIUJUH686Sp+O1BACaSNDISJVDBtUhxAAAZWWNRkJ1DBcGsmml/hvx/gAAZaWikUgdQwYAAPRL0OhDE0JFmfaHqIsm/N0AAIwbLroBVTM+WKz7oLEVLUEDAIC+qWjQkZCRntcUAGgSi8F7VIdKxlQD3n52vqY/Kf+OvF8AQBk1NmhMN9CbaSBedQam5TDV39NojPb19wkAUCaNCxrdhoXJg7k6hAwD1PKaqpo0+e/OewgAVEWjFoP3GxbqEDIot24ChJABAFRJYyoa/YSFmaawFKWbdo0PSq27AACgCLWvaAwSFMoYMroxMVQIGAAAFKHWl7etalAYhGABAEAZ1Dpo1JlAAQBAmdVi6lQTKxcAAFBmKhoVJVwBAFBmggYAAJBc5YOGM/tPsG4DAICyqHzQaJrxMDE5VAgZAACUSaU37GtaNUOYAACgKipb0RAyAACgvFQ0YvdBfBkDjJABAEDVVLaikUqntQ4G9gAAMJhGB43pAkWZAkcZqywAADCdSgeNsgSBrDXl9wQAoD6Gi25AFUwe6OdZYRAyAACookpXNAbVTWDoNNCfPK0qyzAw3kbTpwAAqBIVjQHkVW0QMgAAqJpKXt42i8vappRFMDCFCgCAKmns1KmqDdxbYzcAAKiCSgaNsoeEsrcPAACyVsmpU+P6OcOfZwjIqgIhyAAAUHaVrGiM63XAbYAOAAD5qPVVp+oYLOr4OwEAUD+VnjpVBSmnTwkZAABURa0rGnUhYAAAUDWVXqMBAACUk6ABAAAkJ2hkKMX6DNOmAACoIovBM9Zt2BAoAACoExWNjAkQAAA0kaABAAAkJ2iUgKoHAAB1I2jkYLogIWQAAFBHFoMXYPICcWEDAIC6ETQAAIDkTJ0CAACSEzQAAIDkBA0AACA5QQMAAEhO0AAAAJITNAAAgOQEDQAAIDlBAwAASE7QAAAAkhM0AACA5AQNAAAgOUEDAABITtAAAACSEzQAAIDkBA0AACA5QQMAAEhO0AAAAJITNAAAgOQEDQAAIDlBAwAASE7QAAAAkhM0AACA5AQNAAAgOUEDAABITtAAAACSEzQAAIDkBA0AACA5QQMAAEhO0AAAAJITNAAAgOQEDQAAIDlBAwAASE7QAAAAkhM0AACA5AQNAAAgOUEDAABITtAAAACSEzQAAIDkBA0AACA5QQMAAEhO0AAAAJITNAAAgOQEDQAAIDlBAwAASE7QAAAAkhM0AACA5AQNAAAgOUEDAABITtAAAACSEzQAAIDkBA0AACA5QQMAAEhO0AAAAJITNAAAgOQEDQAAILn/Dxu9eHZ4CbaBAAAAAElFTkSuQmCC\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "air_pollution_DF_daily_air_quality_index_uk = ei_air_pollution_functions.air_pollution_concentrations_to_UK_daily_air_quality_index(uk_complete_dataset, \"no2\", \"no2 Prediction mean\")\n", - "air_pollution_DF_daily_air_quality_index_uk = uk_grids.merge(air_pollution_DF_daily_air_quality_index_uk, on=\"UK Model Grid ID\")\n", - "\n", - "ei_air_pollution_functions.visualise_air_pollution_daily_air_quality_index(air_pollution_DF_daily_air_quality_index_uk, \"no2 AQI\", \"uk_2018_01_01_080000_air_quality_index\")\n", - "ei_air_pollution_functions.visualise_air_pollution_daily_air_quality_bands(air_pollution_DF_daily_air_quality_index_uk, \"no2 Air Quality Index AQI Band\", \"uk_2018_01_01_080000_air_quality_bands\")" - ] - }, - { - "cell_type": "markdown", - "id": "fffd530a-30e3-46a0-8b6b-3892ec4a43a0", - "metadata": {}, - "source": [ - "### Global Model Visualisation" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "43a240bb-c180-42c2-a6c5-54f6eeb2939b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "air_pollution_DF_daily_air_quality_index_global = ei_air_pollution_functions.air_pollution_concentrations_to_UK_daily_air_quality_index(global_complete_dataset, \"no2\", \"no2\")\n", - "air_pollution_DF_daily_air_quality_index_global = global_grids.merge(air_pollution_DF_daily_air_quality_index_global, on=\"Global Model Grid ID\")\n", - "\n", - "ei_air_pollution_functions.visualise_air_pollution_daily_air_quality_index(air_pollution_DF_daily_air_quality_index_global, \"no2 AQI\", \"global_2018_01_01_080000_air_quality_index\")\n", - "ei_air_pollution_functions.visualise_air_pollution_daily_air_quality_bands(air_pollution_DF_daily_air_quality_index_global, \"no2 Air Quality Index AQI Band\", \"global_2018_01_01_080000_air_quality_bands\")" - ] - }, - { - "cell_type": "markdown", - "id": "b2dad3a0-3ed1-40cf-99c5-ab22596599b9", - "metadata": {}, - "source": [ - "# Load the typical day data for the UK\n", - "A core issue with the use of the data within this package is the amount of data that is avaliable (TBs of data). As such the use of the typical day, e.g. a typical monday in January at 8AM is provided to make conducting analysis more manageable. \n", - "The dataset that is used in this tutorial is for Friday in January at midnight. " - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "60d93300-8f6c-4bad-9ecd-e93a4251f3ff", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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TimestampUK Model Grid IDnox Prediction meanno2 Prediction meanno Prediction meano3 Prediction meanpm10 Prediction meanpm2.5 Prediction meanso2 Prediction meannox Prediction 0.05...pm10 Prediction 0.5pm2.5 Prediction 0.5so2 Prediction 0.5nox Prediction 0.95no2 Prediction 0.95no Prediction 0.95o3 Prediction 0.95pm10 Prediction 0.95pm2.5 Prediction 0.95so2 Prediction 0.95
0Month_1-Day_Friday-Hour_01725504.0178022.8123670.34923663.6687547.1886612.7865510.4637512.091108...7.1465714.1267410.96075611.2031088.6863450.80005578.31049919.02849713.9721852.125544
1Month_1-Day_Friday-Hour_01725513.9725432.6948290.42644265.7393566.6977012.9709190.4339141.850913...7.1784845.0577780.92527011.5459627.6878590.85978679.10383419.57008213.9311001.938894
2Month_1-Day_Friday-Hour_01725524.7001802.6002030.37454870.6606286.5031752.9161940.4601071.802128...7.5198094.4063070.85154111.0772357.7596120.69403080.45432719.10246114.0974741.664532
3Month_1-Day_Friday-Hour_01725544.5523623.0454930.32810472.5153228.0947533.5141291.2740531.991810...8.3394924.9014970.98515211.5007519.1826340.60545281.56976520.84267313.5501261.849057
4Month_1-Day_Friday-Hour_01725553.8697532.6656160.39231460.4687518.6195573.9679091.2777141.953122...8.2400405.1503981.38841810.5197839.0982350.74497477.55404621.14825414.2994241.835284
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355822Month_1-Day_Friday-Hour_06410638.2225514.1755280.13178855.68720711.8306013.3148330.2342832.278441...9.3669666.1719901.24387016.09302211.3333131.63539464.83191920.97480812.4849152.756452
355823Month_1-Day_Friday-Hour_06410698.9907747.6383180.19500357.27329311.9797113.2414470.4999223.409901...9.0000865.5675751.37351911.57987711.5533972.29563871.72118522.51185211.2986451.840405
355824Month_1-Day_Friday-Hour_064107810.1877407.7284280.10684064.72617511.8285553.1064860.4359263.174422...9.9212614.7540731.22378714.41821610.0672251.34359672.82968321.48745911.2352332.307508
355825Month_1-Day_Friday-Hour_06410796.1957398.9872670.18225559.21433610.9035904.3183150.5297242.110240...9.8246115.4491901.75511612.81593813.4057981.82380171.06206723.32909310.9058172.593097
355826Month_1-Day_Friday-Hour_06410847.9037515.7338320.10584764.51715311.5752452.9177440.2912822.243736...8.8024575.4200021.17414212.96168010.4680291.27330070.05132220.97504511.9450491.994389
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" - ], - "text/plain": [ - " Timestamp UK Model Grid ID nox Prediction mean \\\n", - "0 Month_1-Day_Friday-Hour_0 172550 4.017802 \n", - "1 Month_1-Day_Friday-Hour_0 172551 3.972543 \n", - "2 Month_1-Day_Friday-Hour_0 172552 4.700180 \n", - "3 Month_1-Day_Friday-Hour_0 172554 4.552362 \n", - "4 Month_1-Day_Friday-Hour_0 172555 3.869753 \n", - "... ... ... ... \n", - "355822 Month_1-Day_Friday-Hour_0 641063 8.222551 \n", - "355823 Month_1-Day_Friday-Hour_0 641069 8.990774 \n", - "355824 Month_1-Day_Friday-Hour_0 641078 10.187740 \n", - "355825 Month_1-Day_Friday-Hour_0 641079 6.195739 \n", - "355826 Month_1-Day_Friday-Hour_0 641084 7.903751 \n", - "\n", - " no2 Prediction mean no Prediction mean o3 Prediction mean \\\n", - "0 2.812367 0.349236 63.668754 \n", - "1 2.694829 0.426442 65.739356 \n", - "2 2.600203 0.374548 70.660628 \n", - "3 3.045493 0.328104 72.515322 \n", - "4 2.665616 0.392314 60.468751 \n", - "... ... ... ... \n", - "355822 4.175528 0.131788 55.687207 \n", - "355823 7.638318 0.195003 57.273293 \n", - "355824 7.728428 0.106840 64.726175 \n", - "355825 8.987267 0.182255 59.214336 \n", - "355826 5.733832 0.105847 64.517153 \n", - "\n", - " pm10 Prediction mean pm2.5 Prediction mean so2 Prediction mean \\\n", - "0 7.188661 2.786551 0.463751 \n", - "1 6.697701 2.970919 0.433914 \n", - "2 6.503175 2.916194 0.460107 \n", - "3 8.094753 3.514129 1.274053 \n", - "4 8.619557 3.967909 1.277714 \n", - "... ... ... ... \n", - "355822 11.830601 3.314833 0.234283 \n", - "355823 11.979711 3.241447 0.499922 \n", - "355824 11.828555 3.106486 0.435926 \n", - "355825 10.903590 4.318315 0.529724 \n", - "355826 11.575245 2.917744 0.291282 \n", - "\n", - " nox Prediction 0.05 ... pm10 Prediction 0.5 pm2.5 Prediction 0.5 \\\n", - "0 2.091108 ... 7.146571 4.126741 \n", - "1 1.850913 ... 7.178484 5.057778 \n", - "2 1.802128 ... 7.519809 4.406307 \n", - "3 1.991810 ... 8.339492 4.901497 \n", - "4 1.953122 ... 8.240040 5.150398 \n", - "... ... ... ... ... \n", - "355822 2.278441 ... 9.366966 6.171990 \n", - "355823 3.409901 ... 9.000086 5.567575 \n", - "355824 3.174422 ... 9.921261 4.754073 \n", - "355825 2.110240 ... 9.824611 5.449190 \n", - "355826 2.243736 ... 8.802457 5.420002 \n", - "\n", - " so2 Prediction 0.5 nox Prediction 0.95 no2 Prediction 0.95 \\\n", - "0 0.960756 11.203108 8.686345 \n", - "1 0.925270 11.545962 7.687859 \n", - "2 0.851541 11.077235 7.759612 \n", - "3 0.985152 11.500751 9.182634 \n", - "4 1.388418 10.519783 9.098235 \n", - "... ... ... ... \n", - "355822 1.243870 16.093022 11.333313 \n", - "355823 1.373519 11.579877 11.553397 \n", - "355824 1.223787 14.418216 10.067225 \n", - "355825 1.755116 12.815938 13.405798 \n", - "355826 1.174142 12.961680 10.468029 \n", - "\n", - " no Prediction 0.95 o3 Prediction 0.95 pm10 Prediction 0.95 \\\n", - "0 0.800055 78.310499 19.028497 \n", - "1 0.859786 79.103834 19.570082 \n", - "2 0.694030 80.454327 19.102461 \n", - "3 0.605452 81.569765 20.842673 \n", - "4 0.744974 77.554046 21.148254 \n", - "... ... ... ... \n", - "355822 1.635394 64.831919 20.974808 \n", - "355823 2.295638 71.721185 22.511852 \n", - "355824 1.343596 72.829683 21.487459 \n", - "355825 1.823801 71.062067 23.329093 \n", - "355826 1.273300 70.051322 20.975045 \n", - "\n", - " pm2.5 Prediction 0.95 so2 Prediction 0.95 \n", - "0 13.972185 2.125544 \n", - "1 13.931100 1.938894 \n", - "2 14.097474 1.664532 \n", - "3 13.550126 1.849057 \n", - "4 14.299424 1.835284 \n", - "... ... ... \n", - "355822 12.484915 2.756452 \n", - "355823 11.298645 1.840405 \n", - "355824 11.235233 2.307508 \n", - "355825 10.905817 2.593097 \n", - "355826 11.945049 1.994389 \n", - "\n", - "[355827 rows x 30 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
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geometry CentroidTimestampnox Prediction meanno2 Prediction meanno Prediction meano3 Prediction meanpm10 Prediction meanpm2.5 Prediction meanso2 Prediction meannox Prediction 0.05...no Prediction 0.95o3 Prediction 0.95pm10 Prediction 0.95pm2.5 Prediction 0.95so2 Prediction 0.95Predicition LatitudePredicition LongitudeDistanceRequested LatitudeRequested Longitude
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" - ], - "text/plain": [ - " geometry Centroid Timestamp \\\n", - "312545 POINT (13208.557099999976 6676831.988) Month_1-Day_Friday-Hour_0 \n", - "\n", - " nox Prediction mean no2 Prediction mean no Prediction mean \\\n", - "312545 18.221392 12.978385 1.426542 \n", - "\n", - " o3 Prediction mean pm10 Prediction mean pm2.5 Prediction mean \\\n", - "312545 43.412705 8.665747 5.900429 \n", - "\n", - " so2 Prediction mean nox Prediction 0.05 ... no Prediction 0.95 \\\n", - "312545 1.313874 8.933272 ... 4.777031 \n", - "\n", - " o3 Prediction 0.95 pm10 Prediction 0.95 pm2.5 Prediction 0.95 \\\n", - "312545 63.374378 20.752628 15.645429 \n", - "\n", - " so2 Prediction 0.95 Predicition Latitude Predicition Longitude \\\n", - "312545 1.702747 51.500416 0.118654 \n", - "\n", - " Distance Requested Latitude Requested Longitude \n", - "312545 0.001408 51.5 0.12 \n", - "\n", - "[1 rows x 35 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "uk_complete_typical_day_january_friday_midnight = ei_data.air_pollution_concentration_typical_day_real_time_united_kingdom(1, \"Friday\", 0)\n", - "uk_single_datapoint_typical_day_january_friday_midnight = ei_data.air_pollution_concentration_nearest_point_typical_day_united_kingdom(1, \"Friday\", 0,51.5, 0.12, uk_grids)\n", - "display(uk_complete_typical_day_january_friday_midnight)\n", - "display(uk_single_datapoint_typical_day_january_friday_midnight)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "8100f77c-6adb-4eaf-94aa-197ccb3611ce", - "metadata": {}, - "outputs": [], - "source": [ - "air_pollution_DF_8am = ei_data.air_pollution_concentration_complete_set_real_time_united_kingdom(\"2018-01-01 080000\")\n", - "air_pollution_DF_9am = ei_data.air_pollution_concentration_complete_set_real_time_united_kingdom(\"2018-01-01 090000\")\n", - "air_pollution_DF_8am = ei_air_pollution_functions.air_pollution_concentrations_to_UK_daily_air_quality_index(air_pollution_DF_8am, \"no2\", \"no2 Prediction mean\")\n", - "air_pollution_DF_9am = ei_air_pollution_functions.air_pollution_concentrations_to_UK_daily_air_quality_index(air_pollution_DF_9am, \"no2\", \"no2 Prediction mean\")\n", - "\n", - "air_pollution_DF_8am = uk_grids.merge(air_pollution_DF_8am, on=\"UK Model Grid ID\")\n", - "air_pollution_DF_9am = uk_grids.merge(air_pollution_DF_9am, on=\"UK Model Grid ID\")" - ] - }, - { - "cell_type": "markdown", - "id": "76e792ea-a6d4-4c2c-ba06-d75fa07132dc", - "metadata": {}, - "source": [ - "# Visualise the change in the air pollution concentration and air quality index for NO2 between 8am and 9am on 1st January 2018." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "9a763c3e-e4d9-4119-8b15-c97a72afd4b6", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ei_air_pollution_functions.change_in_concentrations_visulisation(air_pollution_DF_8am, air_pollution_DF_9am, \"no2 Prediction mean\", \"uk_concentration_change_between_8_9_am\")\n", - "ei_air_pollution_functions.change_in_aqi_visulisation(air_pollution_DF_8am, air_pollution_DF_9am, \"no2 AQI\", \"uk_aqi_change_between_8_9_am\")" - ] - }, - { - "cell_type": "markdown", - "id": "f17c1246-a4c6-42b3-a091-5243034fb76e", - "metadata": {}, - "source": [ - "# Visualising the changes in the air pollution concentrations across a number of timestamps. " - ] - }, - { - "cell_type": "markdown", - "id": "58682916-b4c1-49b9-9e33-4e918095519c", - "metadata": {}, - "source": [ - "Alongside being able to visualise the changes in air pollution spatially, there is the ability to visualise them temporally, with an aggregate across all of the desired locations.\n", - "The example below gives the simple hypothetical scenario of changing the values based on simply doubling, or halving the concerntations. However a model could be plugged into this process as will be seen later. " - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "5a5e1031-89e0-4f16-ab6e-7f8abee71371", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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TimestampUK Model Grid IDModel Predicitionno2 Prediction meanno Prediction meano3 Prediction meanpm10 Prediction meanpm2.5 Prediction meanso2 Prediction meannox Prediction 0.05...pm10 Prediction 0.5pm2.5 Prediction 0.5so2 Prediction 0.5nox Prediction 0.95no2 Prediction 0.95no Prediction 0.95o3 Prediction 0.95pm10 Prediction 0.95pm2.5 Prediction 0.95so2 Prediction 0.95
0Month_1-Day_Friday-Hour_01725508.0356042.8123670.34923663.6687547.1886612.7865510.4637512.091108...7.1465714.1267410.96075611.2031088.6863450.80005578.31049919.02849713.9721852.125544
1Month_1-Day_Friday-Hour_01725517.9450862.6948290.42644265.7393566.6977012.9709190.4339141.850913...7.1784845.0577780.92527011.5459627.6878590.85978679.10383419.57008213.9311001.938894
2Month_1-Day_Friday-Hour_01725529.4003602.6002030.37454870.6606286.5031752.9161940.4601071.802128...7.5198094.4063070.85154111.0772357.7596120.69403080.45432719.10246114.0974741.664532
3Month_1-Day_Friday-Hour_01725549.1047243.0454930.32810472.5153228.0947533.5141291.2740531.991810...8.3394924.9014970.98515211.5007519.1826340.60545281.56976520.84267313.5501261.849057
4Month_1-Day_Friday-Hour_01725557.7395062.6656160.39231460.4687518.6195573.9679091.2777141.953122...8.2400405.1503981.38841810.5197839.0982350.74497477.55404621.14825414.2994241.835284
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355822Month_1-Day_Friday-Hour_064106316.4451024.1755280.13178855.68720711.8306013.3148330.2342832.278441...9.3669666.1719901.24387016.09302211.3333131.63539464.83191920.97480812.4849152.756452
355823Month_1-Day_Friday-Hour_064106917.9815497.6383180.19500357.27329311.9797113.2414470.4999223.409901...9.0000865.5675751.37351911.57987711.5533972.29563871.72118522.51185211.2986451.840405
355824Month_1-Day_Friday-Hour_064107820.3754807.7284280.10684064.72617511.8285553.1064860.4359263.174422...9.9212614.7540731.22378714.41821610.0672251.34359672.82968321.48745911.2352332.307508
355825Month_1-Day_Friday-Hour_064107912.3914798.9872670.18225559.21433610.9035904.3183150.5297242.110240...9.8246115.4491901.75511612.81593813.4057981.82380171.06206723.32909310.9058172.593097
355826Month_1-Day_Friday-Hour_064108415.8075025.7338320.10584764.51715311.5752452.9177440.2912822.243736...8.8024575.4200021.17414212.96168010.4680291.27330070.05132220.97504511.9450491.994389
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355827 rows × 30 columns

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" - ], - "text/plain": [ - " Timestamp UK Model Grid ID Model Predicition \\\n", - "0 Month_1-Day_Friday-Hour_0 172550 8.035604 \n", - "1 Month_1-Day_Friday-Hour_0 172551 7.945086 \n", - "2 Month_1-Day_Friday-Hour_0 172552 9.400360 \n", - "3 Month_1-Day_Friday-Hour_0 172554 9.104724 \n", - "4 Month_1-Day_Friday-Hour_0 172555 7.739506 \n", - "... ... ... ... \n", - "355822 Month_1-Day_Friday-Hour_0 641063 16.445102 \n", - "355823 Month_1-Day_Friday-Hour_0 641069 17.981549 \n", - "355824 Month_1-Day_Friday-Hour_0 641078 20.375480 \n", - "355825 Month_1-Day_Friday-Hour_0 641079 12.391479 \n", - "355826 Month_1-Day_Friday-Hour_0 641084 15.807502 \n", - "\n", - " no2 Prediction mean no Prediction mean o3 Prediction mean \\\n", - "0 2.812367 0.349236 63.668754 \n", - "1 2.694829 0.426442 65.739356 \n", - "2 2.600203 0.374548 70.660628 \n", - "3 3.045493 0.328104 72.515322 \n", - "4 2.665616 0.392314 60.468751 \n", - "... ... ... ... \n", - "355822 4.175528 0.131788 55.687207 \n", - "355823 7.638318 0.195003 57.273293 \n", - "355824 7.728428 0.106840 64.726175 \n", - "355825 8.987267 0.182255 59.214336 \n", - "355826 5.733832 0.105847 64.517153 \n", - "\n", - " pm10 Prediction mean pm2.5 Prediction mean so2 Prediction mean \\\n", - "0 7.188661 2.786551 0.463751 \n", - "1 6.697701 2.970919 0.433914 \n", - "2 6.503175 2.916194 0.460107 \n", - "3 8.094753 3.514129 1.274053 \n", - "4 8.619557 3.967909 1.277714 \n", - "... ... ... ... \n", - "355822 11.830601 3.314833 0.234283 \n", - "355823 11.979711 3.241447 0.499922 \n", - "355824 11.828555 3.106486 0.435926 \n", - "355825 10.903590 4.318315 0.529724 \n", - "355826 11.575245 2.917744 0.291282 \n", - "\n", - " nox Prediction 0.05 ... pm10 Prediction 0.5 pm2.5 Prediction 0.5 \\\n", - "0 2.091108 ... 7.146571 4.126741 \n", - "1 1.850913 ... 7.178484 5.057778 \n", - "2 1.802128 ... 7.519809 4.406307 \n", - "3 1.991810 ... 8.339492 4.901497 \n", - "4 1.953122 ... 8.240040 5.150398 \n", - "... ... ... ... ... \n", - "355822 2.278441 ... 9.366966 6.171990 \n", - "355823 3.409901 ... 9.000086 5.567575 \n", - "355824 3.174422 ... 9.921261 4.754073 \n", - "355825 2.110240 ... 9.824611 5.449190 \n", - "355826 2.243736 ... 8.802457 5.420002 \n", - "\n", - " so2 Prediction 0.5 nox Prediction 0.95 no2 Prediction 0.95 \\\n", - "0 0.960756 11.203108 8.686345 \n", - "1 0.925270 11.545962 7.687859 \n", - "2 0.851541 11.077235 7.759612 \n", - "3 0.985152 11.500751 9.182634 \n", - "4 1.388418 10.519783 9.098235 \n", - "... ... ... ... \n", - "355822 1.243870 16.093022 11.333313 \n", - "355823 1.373519 11.579877 11.553397 \n", - "355824 1.223787 14.418216 10.067225 \n", - "355825 1.755116 12.815938 13.405798 \n", - "355826 1.174142 12.961680 10.468029 \n", - "\n", - " no Prediction 0.95 o3 Prediction 0.95 pm10 Prediction 0.95 \\\n", - "0 0.800055 78.310499 19.028497 \n", - "1 0.859786 79.103834 19.570082 \n", - "2 0.694030 80.454327 19.102461 \n", - "3 0.605452 81.569765 20.842673 \n", - "4 0.744974 77.554046 21.148254 \n", - "... ... ... ... \n", - "355822 1.635394 64.831919 20.974808 \n", - "355823 2.295638 71.721185 22.511852 \n", - "355824 1.343596 72.829683 21.487459 \n", - "355825 1.823801 71.062067 23.329093 \n", - "355826 1.273300 70.051322 20.975045 \n", - "\n", - " pm2.5 Prediction 0.95 so2 Prediction 0.95 \n", - "0 13.972185 2.125544 \n", - "1 13.931100 1.938894 \n", - "2 14.097474 1.664532 \n", - "3 13.550126 1.849057 \n", - "4 14.299424 1.835284 \n", - "... ... ... \n", - "355822 12.484915 2.756452 \n", - "355823 11.298645 1.840405 \n", - "355824 11.235233 2.307508 \n", - "355825 10.905817 2.593097 \n", - "355826 11.945049 1.994389 \n", - "\n", - "[355827 rows x 30 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Show the change in concentration line example \n", - "\n", - "#A single month should be used in the example code, with the list days being populated with the days to be analysed, out of [\"Monday\", \"Tuesday\", \"Wednesday\", \"Thursday\", \"Friday\", \"Saturday\", \"Sunday\"]\n", - "month = 1 \n", - "days = [\"Friday\"]\n", - "\n", - "\n", - "#The baseline_DFs represent the DFs that will create the black link in the graph, with change_* being the DFs that contain the concentrations with some change, in this case the change_positive_DFs being the doubling of the concentrations and \n", - "#change_negative_DFs being the halving of the concentrations. \n", - "baseline_DFs = dict()\n", - "change_postive_DFs = dict()\n", - "change_negative_DFs = dict()\n", - "for day_of_week in days:\n", - " \n", - " #Create a nested list for each day\n", - " baseline_DFs_single_day = dict()\n", - " change_postive_DFs_single_day = dict()\n", - " change_negative_DFs_single_day = dict()\n", - " for hour in np.arange(0,24):\n", - " \n", - " #load in the typical day data of interest\n", - " air_pollution_DF = ei_data.air_pollution_concentration_typical_day_real_time_united_kingdom(month, day_of_week, hour)\n", - " \n", - " #Standardise the column names\n", - " air_pollution_DF = air_pollution_DF.rename(columns={\"nox Prediction mean\":\"Model Predicition\"})\n", - " baseline_DFs_single_day[hour] = air_pollution_DF\n", - " air_pollution_DF_change = air_pollution_DF.copy(deep=True)\n", - " \n", - " #Double all of the concentrations and add the DF to the corresponding list.\n", - " air_pollution_DF_change[\"Model Predicition\"] = air_pollution_DF_change[\"Model Predicition\"] * 2\n", - " change_postive_DFs_single_day[hour] = air_pollution_DF_change\n", - "\n", - " \n", - " #Repeat the process but for the halving of the concentrations \n", - " air_pollution_DF_change = air_pollution_DF.copy(deep=True)\n", - " air_pollution_DF_change[\"Model Predicition\"] = air_pollution_DF_change[\"Model Predicition\"] * 0.5\n", - " change_negative_DFs_single_day[hour] = air_pollution_DF_change\n", - " \n", - " \n", - " baseline_DFs[day_of_week] = baseline_DFs_single_day\n", - " change_postive_DFs[day_of_week] = change_postive_DFs_single_day\n", - " change_negative_DFs[day_of_week] = change_negative_DFs_single_day\n", - " \n", - " \n", - "display(change_postive_DFs[\"Friday\"][0])" - ] - }, - { - "cell_type": "markdown", - "id": "7fbbee98-9e67-4c3a-9dc7-023785e0ce97", - "metadata": {}, - "source": [ - "### Visualise the changes based on the list of dataframe." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "342ce1b3-fab1-4abc-bb01-00e74eaa0b03", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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LlysoKEgtW7ZU06ZNZVnWsYNalubPn+/EsNq7d68aNmyoRYsW6YILLpBt22rcuLHuuOMO3X///ZKkvLw8NWrUSJMnT9aYMWNKdd3MzExFR0crIyNDUVFRjmQFADiD2S4AAAAAAACQpOafL1Fo46ZVMlZpe4MQpwZcuHBh0Z+9Xq88Hk+JM1+OV8aUV0ZGhiTptNNOkyQlJSVp165duvjii4vOCQ8PV69evbRs2bJSFy8AgOqJ0gU1wb4Cr5Zn5SjHZyvIkixJQbKO/K91ZEqyJUvW73/+4xxL1lHPH/mdKki/Pz7qOkXnWL+/ptg1/neOVXTcKjr/j2sHWb/nOeqc4vmOGt/6Yxr1/8YOkrO/8wEAAAAAcDwpg3tKkuJWbJIVGmY4zRGOFS9JSUlOXarUbNvWXXfdpfPPP19nnHGGJGnXrl2SpEaNGhU7t1GjRkpOTi7xWnl5ecrLyyt6nJmZWQmJAQAVkbdlo+kIQIWl5BXoywOHle9zZNJxtRdk/bnUOar0KTpuKcSSmoaFqEOtMNUPCaa0AQAAAACUSeI5bSVJcQmJxv9N6Vjx0qJFC6cuVWq33HKL1q1bpx9++OGY5/78hbVt+4Rf7EmTJumxxx5zPCMAwDnbhw8wHQGokN+y8/VdRra8zqz06hd8ti2fJBV9yiV/7vsKvFpzOE/1Q4PVPjJM8ZFhqhPs2JaEAAAAAIAAkNg1TpLUalXVTxb5g2PFS1W79dZb9dlnn2nx4sVq2vR/67fFxMRIOjLzJTY2tuj4nj17jpkFc7QHH3xQd911V9HjzMxMNWvWrBKSAwDKI7HnGaYjAOVm27Z+PpynJZk5xY7XDw1Ww4sGyJuTI19ujrzZh1WYkyNvTrZ8ubny5ubIm5srn23L1pHK4o8iw5Zk25JPvz+2Jd/vz/u7fQVeLSnI0Q9ZuWoeFqL2tcIUFxGqUGbBAAAAAABKyeN2KbhefbX89qcqH7tSipeVK1dqyZIl2rlzpyzLUmxsrHr27Klu3bpV+Nq2bevWW2/VJ598ooULF8rlKr7Wv8vlUkxMjObNm6fOnTtLkvLz87Vo0SJNnjy5xOuGh4crPDy8wvkAAM4rSNsuO/uw6RhAudi2rcWZOVpzOK/Y8dMbNdCNq35TcHBwpYzp8/nk8/mK/fl4j506p6LX3bX5N214btIxn0dyXoGS8woUFmSpTUSY2keGqXEYS5EBAAAAAE7Om75PHrdLdS//ixqOL7kfcJpl287dFrl582aNHDlSP/10pEH649J//MO4W7duevvtt9WmTZtyj3HzzTdr1qxZmjNnjtq2bVt0PDo6WpGRkZKkyZMna9KkSZo+fbratGmjiRMnauHChdq0aZPq1q1bqnEyMzMVHR2tjIwMRUVFlTsvAKDiPG7XyU8CqqFC29a3B7O1JSe/2PELLu6vK2a8T3nwJ+np6Vq7dq2W/+dl7V6yoMTzokOC1TYyVO0jw3RKiPPFFQAAAACgZmr4+LOqO3BYuV9f2t7AseIlLS1NXbp00e7du9W4cWNdddVVatmypSQpOTlZH374oXbs2KHY2FglJCQUWwasLEp6g2L69OkaNWqUpCOFz2OPPabXXntNBw4cUPfu3fXKK6/ojDNKv0wNxQsAVA8pQy9UQco20zGAMsvz+fTFgcPanldYdMyyLA25/2FdePs9BpNVf7ZtKzk5WWvXrtXim0epwFfyr6uxYSFqHxmmNpGhighiPxgAAAAAwMk1+/BbhcWVfYJIlRcvY8eO1b///W/deeedmjRpksLCwoo9X1BQoAcffFDPPfecxo4dq5dfftmJYSsNxQsAmOc9eEDb+nYxHQMosyyvT3P2H1J6gbfoWIhladSsj9Wpdx+DyfxPQUGBfvvtN61evlyrJ9yvkn51DbEsuSKOzIJpHh6iYGYTAQAAAABOwvXDBgVF1ir1+VVevLhcLkVERGjjxo0lnmPbtjp06KDc3FwlJSU5MWyloXgBAPNYYgz+KL3Aq0/3H9Ihr6/oWHiQpVsWrVSL1uVfbhVHfj9bv369Vr7/rpI+eq/E82oFByk+IlTta4WpQQj7wQAAAAAATiwuIbFU/3YsbW/g2HoMfyw1diKWZalLly5KS0tzalgAQA2146a/mo4AlNmOvEJ9mJ5VrHSpGxyke3/eROnigKioKJ133nm646VX9eDqjRow/X3VjTl2+dpsr09rDufpvb1ZmrkvS6sP5Rb7/wQAAAAAgKMldo1z9AbgEKcuFBUVpdTU1JOel5qaygwSAMAJ+XKylbt6pekYQJlsycnXtwezVXjUZOL6ocG645ckfvdxmGVZio2NVWxsrC666CJt3bpVa37+WSvu+j95/zSZO73AqyUFOfohK1fNw0LUvlaY4iJCFcosGAAAAADAn3jcLik4WK1Wbq3QdRyb8dKjRw8tW7ZMX3/9dYnnfPXVV1q6dKnOPfdcp4YFANRASeefbjoCUCZrD+fp6z+VLk3DQ3Tf5h2ULpUsODhYbdu21V+HD9dEz06N/Pw7dfi/2485z7ZtJecVaO6Bw3p9d4bmHczW9ryCEveMAQAAAAAEKK9XHrdLaXfdVO5LOLbHy/Lly3XBBRcoKChI11xzja655hq1bNlSlmUpKSlJM2fO1HvvvSfbtrV48WKdc845TgxbadjjBQDM2PXALTo870vTMYBSsW1by7JylXAot9jxNpFh+r/NOxUS4tjkYpRRenq61q1bpx8mP6G9a1eXeF5USJDaRYapXWSYTg0JrsKEAAAAAAB/UO+e8Trl6r9JKn1v4FjxIknvvvuuxowZo5ycnGM2orFtW5GRkZo6dapGjBjh1JCVhuIFAKqeXVCgxHPiTccASsVr25qfka2N2fnFjnc76yyN+GoBG7pXE7ZtKzk5WWvXrtWSm0cp31fyr76xYSFqHxmmNpGhighybGI4AAAAAKAGaPLWJ8pvHlf1xYskbd++XdOmTdMPP/ygnTt3SpIaN26snj176oYbblCzZs2cHK7SULwAQNVzchMzoDLl+Wx9deCwUvIKih0fMPpGXfLUPw2lwskUFBTot99+0+pFC7V64vgSlxkLtiy5IkLVPjJMLcJDFEyJBgAAAACQlOX1qfPalKovXmoKihcAqFr7pjymjPdnmI4BnNRhr0+f7T+sPQWFRceCLUsjXn5NXa/4i8FkKIusrCytW7dOy6e+qpRvS17esFZwkOIjQtW+VpgahAQzkwkAAAAAAhjFSwVRvABA1bF9PiWe3cp0DOCkDhR6NWf/YWUUeouOhQVZ+sfcRWrdsZPBZCgv27a1a9curV27VgvHjFR2fn6J59YLDVb7yDC1jQxTnWCWIgMAAACAQFMlxcv333+v7du3q2vXrurQocMJz/3111+VkJCgZs2a6cILLyzvkFWG4gUAqg5LjMEfpOUX6vP9h5Xj8xUdqx0cpNtW/qLYxo0NJoNTvF6vPB6Pfv5ppVbce6u8JfyabFmWmoeFqH2tMMVFhCqUWTAAAFRL+T5b6YVe7SvwKs+21TgsRI3DQkzHAgD4sUovXlJTUxUfH69mzZpp1apVqlu37okDZWWpa9eu2r59u7Zs2aLG1fwNCooXAKgaB958RftfYU8MVG9JuQX6+sBhFRz1a9OpIcG6c71Hp5xyirlgqDQ5OTnasGGDVs6epd/eebPE88KCLLWOCFP7yFA1CQthKTIAAAw57PVpb4FX+wq92ltw5OOg13fMnm4xYSHqUjtcrSJCFcTPbQBAGVV68fLoo4/qySef1Mcff6whQ4aU6jWfffaZhgwZoscee0zjxo0rz7BVhuIFACqfbdtK7BpnOgZwQr9k5+n7jJxi/2iPDQvR7RtTVKtWLYPJUFXS09O1bt06LX7wTqUnbyvxvKiQILWLDFO7yDCdGhJcdQEBAAggPtvWQa9P+wr+V7DsK/TqsNd38hcfJTokWGfVDleHyDCFBVHAAABKp9KLl3PPPVeJiYnatWtXmV4XGxsrl8ulZcuWlWfYKkPxAgCVjyXGUJ3Ztq0fD+Xqx6zcYsdbRYTq5s07FRoaaigZTLFtWykpKfp59Wr9cMto5ftK/jU6NixE7SPD1CYyVBFB7AcDAEB55Pts7ft9qbA/ZrKkF3iLzUKuqPAgSx1rhevM2uHs4QYAOKnSFi/lXtjyt99+03nnnVfm13Xt2rXaly4AgMqX+ekHpiMAJfLZthZk5OiX7Lxix89q2lijfvxFQbyRHpAsy1KLFi3UokULDRw0SL/99psS5n6lNc8/fcwyJmn5hUrLL9SiTEuuiFC1jwxTi/AQBbOkCQAAx7BtW4d99pFZLL8XLPtKWCqsNOoGB6lZ1+6Kv+VuxTZpopiYGPl8Pq1YsUIL7viH8g9lFZ2b57OVcChXPx/OU3xkqDrXDleDUPaBAQBUTLl/khw+fFjR0dFlfl10dLQOHTpU3mEBADXE3iceMB0BOK4C29bcA4eVmFtQ7Hi/QYM1eOrb7OEBSVJoaKg6duyojh07KusfN2v9+vVaMuVJ7VhR/AYjr21ra06+tubkq1ZwkOIjQtW+VpgahATzvQQACEg+29aBQl+xvVj2FXqVXcalwiQpyLJULyRIrUeNkWvAZWrUqJFiYmIUGRl53PMHDhyoCy/cpISEBC18+Tnt+2Fh0XNe29bG7HxtzM5X8/AjBUyLcPZvAwCUT7mXGouJiVHHjh01b968Mr3uoosu0vr168u8RFlVY6kxAKg8LDGG6irH59Nn+w9rV35h0bEgy9JV45/Qef+4xWAy+APbtrVr1y6tXbtWC2+85oRvINULDVb7yDC1jQxjWRMAQI119FJhe3+fzbK/nEuFhQdZahAarA5PPKumHc9UTEyM6tevr5CQ8t1TXFhYqPXr12vxp/+VZ+rLxz2nXmiwOtcOV9vIMIVQwAAAVAV7vPTp00c//fST9uzZU+KdBH+WnZ2thg0bqlu3bvr+++/LM2yVoXgBgMpxeNE87brr76ZjAMfIKPRqzv7DOlDoLToWalm64cPP1OG8ngaTwR95vV55PB6t/mGJVj5yjwpL+JXbsiw1+30/mLiIUDb3BQD4JaeXCosKCVLj+HZq/8AExTZrrpiYGEVHR1fK7BPbtuXxeLR08WKteviu455TOzhInWqFq2PtMEWy5CwABLRK3+Nl8ODBWrhwoZ588kk99dRTpXrNk08+qZycHA0ePLi8wwIA/BylC6qjPQWF+mz/YR0+aoZCreAg3fLDKjVtyQwtlF1wcLDi4+MVHx+vy6++Rr/++quWv/4fbf70w2Ln2batlLwCpeQVKDTIUpuIMLWPDFWTMJY2AQBUT04uFRZsWTotJEhxV16tuKtGKDY2Vo0aNSr1Db5OsCxLrVu3VuvWrdV/wAAtX75ci8aOlu+owuiw16flWTlKOJSr9rXCdFbtcJ0aElxlGQEA/qfcM16ys7PVunVr7d69W4899pgeeuihEjea9fl8euqpp/Too48qJiZGW7duVa1atSoUvLIx4wUAnMcSY6iOkvMK9OWBwyrw/e9XolNCgnX7ms2qV6+ewWSoifbv36+1a9dqwT+u18HMzBLPqxscpPjIMDUPD1HjsBCWNwEAGFEZS4W1f/gpNTu7u2JiYtSgQQMFB1e/AiMzM1MrV67U94/cq0PJScc8b1mW4sJD1Ll2hBqHsW8bAASSSl9qTJJWrFihvn37Kjc3V02bNtVVV12lLl26qEGDBpKkvXv3avXq1frwww+1fft2hYeHa/78+erRo0d5h6wyFC8A4KycNQnaecNVpmMAxfyWna95GdnF7mhsFBaiO35NVu3atQ0mQ01n27ZSUlL0c0KCfrjtRuX7Sv6VPNSy1DgsRM3DQ9QiPFSnhQTxBg8AwFGVsVRYTEyMOjz+rBq7XJW6VFhlys/P188//6yFb07Vjs8+Pu45jcJC1KV2uFpHhCrIzz4/AEDZVUnxIknr1q3Ttddeq19++eW4P0D/uPzpp5+ud999V2eeeWZFhqsyFC8A4Cxmu6A6sW1bqw/n6YfMnGLHW0aE6pZNOxQWFmYoGQJRQUGBNm3apB8/+kDrpv7rpG9w1QkOUvPwULUID1Gz8BDWmgcAlEllLBXW8uKBan3D/xlZKqwq+Hw+/fbbb1ryzVxteObx454TFRKkM2uF6/Ra4QpnzzYAqLGqrHj5wzfffKMvv/xSP//8s9LT02XbturXr6+zzjpLAwcO1CWXXOLEMFWG4gUAnEPpgurEZ9takpmjNYfzih3vUCtMN21Oq5bLXSBwZGVlaf369Vr10fva+v47Jy1hLMtSw9BgNf99RkxsWIiCudsWAPC74y0Vll7gVWEFlgqLv/MhtezVp1ovFVaZUlNTtXTpUi2/6/+O+3M6LMjSGbXCdVbtcNUN5uYIAKhpqrx4qWkoXgDAGfmJW5R61cWmYwCSpELb1jcHs7U1J7/Y8fO7na2rPv3W75a/QM2WnZ2txMREbd26VT9PelQHUpJP+prQIEvNwkLUPDxUzcNDdEowy5IBQKDJ8/m0JbdAG7PzlVbgLddSYdEhwWpQK1JnPPuqmrRpq5iYGEVFRfEz5Sj79+/XihUrNP/GEcfd8ybIshQfEarOdcLVMDTEQEIAQGWgeKkgihcAcAazXVBd5Pp8+uLAYe3IKyw6ZlmWLv/Hzeoz/imDyYCTs21b+/btk8fj0ZZf1mvN+PtKtbFxVEiQmocdKWGahYcogmXJAKBG8tq2UvIKtTEnX0m5BaWe0RJsWaoXEqxmPc5T29vvV2yTJmrUqJEiIiIqOXHNkZOTo4SEBH0/+Qmlr1p53HOahoeoS+0ItQwPobwCAD9H8VJBFC8AUHFJF54lX2aG6RiAsrw+fbr/kPYXeIuOhViWRk17S50GXmYwGVA+hYWFSk1Nlcfj0YYvPpXng3dP+hrLstQoNFgtwo/MiIkJDWYTYADwY7Zta2+hVxuz87U5t+Cke7REBAWpQWiw2vz9VrkGXq6YmBjVr18/4JYKqyyFhYX65ZdftGj2e/JMf+2455waEqwudcLVLjJMIfwMBgC/RPFSQRQvAFAxhbvTlDzgXNMxAKUXePXp/kM6dNSbERFBQbr5ux/Usn0Hg8kA5xw6dEj/3959x1dV338cf59zV3bYOwHZS1DBWQVxUAE3zrbWUYt7tg6q1tXW2loH1Z+lraC2FYviRKiKgyGbsDcZEAmbzJubu875/RFyTSSRQMbNTV7Px4OH3HO/N/dDS/jmnvf38/1mZWUpMzNTGX98QoW12JbMbRqRbph0j1OpTm68AUAsKAlb2uwLaKMvoAOVFpV8X7xp6uQbf6njr7uJrcIakW3bysrK0jdz52r5I/dXOybBYer4BLeGJHiUwDkwABBTCF7qiOAFAOqGLcbQFHzrD2pmvld+67sfd5Idpu5ZsVEdOnaMYmVAw7FtW3v37j20Ldk6rX7ioVptOdPK6YiEMN3cLnlMbs4BQFMRsGxllQW10RdQbiBU47ktDsNQ7y6ddd5/3lfv3r3pZomyvXv3atGiRfr6thsUrub/M6dhqH+8WycmedSGBRAAEBMIXuqI4AUAjh2hC5qCLb6APisorfIht53LofvW5yg5OTmKlQGNKxgMavv27crMzNSGWR8re/qRtyUzDUOd3Y5IR0wHtiUDgEZn27a+DYS0yRfQ1rKgglbNt286u506778zNXjoUMXHxzdilaiNkpISLV26VJ/fe6u8+/ZWO+a4OJdOSvSoq5tzYACgKSN4qSOCFwA4eiWfzdSeiXdFuwxAq7x+zSvyVVkNmuZx6a5NuRwWixavqKjou23Jnn1KxblH3pYszjSVdqgbprvHpWS2RQGABnMwFNam0oA2+QIq/oFzW1Kcps56/BkNv+wKtW3bthErxLEKBAJavXq1vnz5Be38bFa1Yzq4nDopyaPecS45CGAAoMkheKkjghcAqD3L71f2Gf2jXQYg27b1TXGZVpSUVbneL96tW7bkyel0RqkyoGmybVu7d+9WZmamtqxbq7VP/abarVC+r43LoXR3eQjTxe2Um23JAKBOfJalLb7yrcT2BEI1jnObhoaMGKWRf3xB6enpdEbEKMuytGXLFs37+EOte/6ZasckO0ydkOjRoAS3PCYLHgCgqWjSwYtlWTKb+KRB8AIAtcO2YmgqwratOQWl2uQLVLl+Ss/u+umCVdyYAGohEAgoJyenfFuy2R9r+ztvHfE1DsNQF7czcj5Me6eD7zcAqIWQbSunLKhNvoCy/SFZNdyeMQ1D6R6nRn/8lfr16yeXy9XIlaIh7dy5U98sWKBv7ru12rN73KahQQkenZDgVgrnwABA1DWJ4OWGG27Q5MmT5fF4Itd2796ta665Rl9//XVDvW29IHgBgB+Wd/vP5FvyTbTLACRJfsvWrHyvdviDVa6PuXy8xrzyWpSqAmJfQUFBZFuylX/+nUpqsS1ZgsNU2qFumDSPU0lsSwYAEbZta3cwrE2+gLb4giqzat5KrL3LobP/9qZOHDFSSUlJjVgloqGgoECLFy/W57+4ttrzfEzDUO84l05M9KiTmy5uAIiWJhG8jBo1SgcOHNCMGTPUp08fffXVV7r22ms1duxYTZkypaHetl4QvABA9Xwrlynv5quiXQYQURK29NHBEu0LhiPXHIaha3//rE65cUIUKwOaF8uylJeXp8zMTG1dv07rfvdojauzK2vncijd41K6x6kubqdcdMMAaIGKQmFt8pV3t+SHwjWOS3SYOuWGX+qMu+5Xx44dG7FCNBVlZWVasWKFPn/sQR3cuL7aMV09Tp2Y6FFPj4suUwBoZE0ieLEsS4888oheffVVXXHFFXrnnXf04osv6sYbb2yot6w3BC8AUJVtWco6uVe0ywCqOBgK68ODJSoKfbda1G0auuXDT9Vn+ClRrAxo/srKyiptSzZTuTOmHfE1zkPbknX3OJXucamt0+SGEYBmy2/Z2lYW0CZfQN/6az63xWUY6tOpo86bPlM9e/Zs8luzo3GEw2GtX79eX73+mjKnvVHtmNZOh05I9GhAgpuFDQDQSJpE8CJJBw8e1KhRo7R27VrdfPPN+vvf/96Qb1dvCF4A4Duc44KmKC8Q0scHvVW26Eh0mLpn8Rp16tYtipUBLdPBgweVlZWlbdu2afXzz8hbi23JEh1mJIRJczuVwLZkAGKcZdva4Q9pky+gzLKgQj9wy6Wbx6nzps/SoKFDq2zRDlRm27ZycnK0YM7nWvbbB6sdE2+aOj7RrSEJHiUylwJAg2oSwcuyZct05ZVX6vTTT9fdd9+tG2+8UX369NGbb76p1q1bN9Tb1guCFwCQ9v3hURXN+E+0ywAOk1UW1Ox8b5WbGW1cDt27JlOtWrWKXmEAJJWv0t25c2dkW7L1f/httQcGf18Hl1PpnvJfnd1OOVm9CyBG7A+GtdEX0GZfQN5wzee2tHY6dObjf9DJV1zNzyw4avv27dOiRYv09a3XVxvqOQ1D/eLdOjHRo7YuRxQqBIDmr0kEL8nJyXrmmWd05513SpJKSkr0i1/8QkuWLFFOTk5DvW29IHgB0JIFtmcp9/Jzo10GUK21Xr++KvJVuYnbxe3UPZtyFR8fH8XKANTE5/MpOzv70LZkn2jn+28f8TUu01A3d3k3THePU62d3EAC0LSUhC1t8QW00RfQ/mDN57bEmaaGnHmWzv7LK+ratStbLKLOSkpKtGzZMn16809VWlpa7ZgecS6dmOhRmtvJ3zkAqEdNInhZsmSJTj311MOu//Wvf9Vdd93VUG9bLwheALREtm0ra3jPaJcBVMu2bS0uKdPS4rIq13vHuXXblp1yuVxRqgzA0bBtWwcOHFBmZqYyMzO15sU/qTQ354iv6+x2amCCW33i3PKY3EACEB1B21ZWWVAbSwPaEQjV2M3nMAz18Dg1etY89enTR06ns5ErRUsQDAa1evVqzfnT75U3/6tqx7R3OXRiYpz6xrvkIIABgDprEsFLLCN4AdDScI4LmjLLtvVFoU8bSv1Vrg9NjteNm3ZyCC0Qw0KhkL799tvItmQbnnn8B8e7DEN94l0aGO9RF7eDVbwAGpxt29oZCGmjL6htZQEFrJpvo3R0OzVq8r90woiRSkhIaMQq0ZLZtq0tW7Zo3ox3tPavz1U7JtFh6oREjwYnuBXHz84AcMyiFryEw2EdPHhQhmGodevWcjhic0sAghcALUX+G3/TwUnPRrsMoEYBy9bsAq9yyoJVrp9z5o90yfSZ3HQFmhmv16usrCxlZmZq42eztOv96TWObe10aGCCW/3j3UriMGEA9Sw/FNYmX0CbfAEVhWo+tyXZYerUG27WGfc+qHbt2jVihcDh8vLytHD+fC2471ZZ1dzyc5mGBsW7dUKiR6ls4wkAR61Rg5fc3Fy98sormj17tjZs2CDLKv+BxDAMDRo0SGPGjNHtt9+u9PT0ur5VoyF4AdDchfMPKue8YdEuA/hBpWFLH+V7tScQilwzDUNX3Hu/znzwsShWBqAx2Lat3bt3a9WqVZr/xESV7MipdpxxaEufgfFuHRfHVioAjl2ZZWmLL6iNvoB2V/r54/tcpqF+7dvq/Pc/V48ePVgIgiansLBQS5Ys0Wc3Xl1tl5ZhGOp16ByYzi46SAGgthoteHn55Zf10EMPqaysrMa9TQ3DkNvt1rPPPqu77767Lm/XaAheADRnbCuGWFAQCuvDg14VhL47rNZlGvrFG9M08LwLolgZgGgIhULavHmzVixdqhWP3F/jZ48Eh6l+8W4NinerrYuVvACOLGzbyvEHtak0qGx/UOEfuLeR7nbqvBmzNeD4IXK73Y1cKXD0/H6/MjIy9Ol9t+ng9pxqx7RzOTQ4waP+8S552IYMAH5QowQvzz77rH7zm99Ikq688kr95Cc/0bBhw9S+fXvZtq19+/ZpxYoV+s9//qMZM2ZIkn73u99p4sSJx/qWjYbgBUBztP3CMxXatTPaZQBHtCcQ0kf5XpWGv9vWI8Fh6s65S9WtV+8oVgagKSgsLNTq1au18J9/U97ns2oc19Ht1OAEt/rEcSMJQFW2bWtPsHwrsS2+oHxWzVuJtXU5NOLxZzT8qmuVnJzciFUC9ceyLG3YsEFfvPpXZb7332rHuAxDveNdGpxAFwwA1KTBg5f169frhBNOUGpqqt5//32dddZZPzh+3rx5uvTSS1VcXKyVK1dq8ODBx/K2jYbgBUBzUvLZTO2ZeFe0ywBqJacsqFkFXgUrbYnQyunQvau3qk2bNlGsDEBTY9u2tm/froyMDC248xcK1fDRpuJG0sB4t7q6ndxIAlqw4rClTb6ANpYGlF+pq/b7Ehymhp5xpkZN+rs6duzIvxtoNmzb1o4dO/TNvLla8tA9NXaQtnE5NPjQOWrxLF4AgIgGD15uueUW/fOf/9Qnn3yiCy6o3XYfs2fP1rhx4zRhwgT97W9/O5a3bTQELwCaA6usTNk/GhDtMoBa21Dq1xeFvioHgXZ0O3Xvhu1KTEyMYmUAmrqysjKtW7dOS2d9ok2vvlDjuFZOhwbEuzUgwa1kBzeSgJbAb9nKLAtoky+obwOhGm80Ow1DPeNcGv2/Berdu7dMbjajmcvPzy9fvPDX53VgyTfVjnEahnrHuTQogcULACA1QvDSp08fud1urV+//qheN2jQIPn9fm3btu1Y3rbRELwAiHWc44JYYtu2lnv9Wljkq3L9uDiX7ti8kz3UARyVvXv3auXKlZr3m/tVnFf9FpsVZzUMSnDruDiXnNxIApoV27aVGwhpY2lAmWVBBX/g1kdXj1OjJv9bQ0aerbi4uEasEmgawuGwtmzZohXLl2vZQ3fXGE62dn7XBZPA4gUALVSDBy+JiYm66KKL9Pbbbx/V66655hp9/PHH8nq9x/K2jYbgBUCsyrvtZ/ItrX61EtAUWbatuUU+rfH6q1wfmODRhK27WG0K4JhFbiQtWaxlv7m/xhtJ8aapfvEuDUrwqJ3L0chVAqhP3rCljb6A1pcGVPADW4m1cjp06s9v0hm//o1at27diBUCTVtBQYFWrlyphf/8m/Z8+Wm1YxyGoV5xLg1OcKsbXTAAWpjaBi/OY30Dt9stv99/5IHf4/f75XK5jvVtAQA18K1cprybr4p2GcBRCdq2Pssv1bayQJXrP+rXR1d9tZQPcQDqxOFwaMCAARowYIAuvny8Vq9erW9e/avyvvqsyjifZWmV169VXr86up0aGO9Wv3iXPAS/QEywbFs7/CGtLw0oyx+ssmVpZR7TUL82rfXjWXPVrVs3fs4AqtGqVSuNGjVKI0eO1NatW7V8+XItfeDOKosXwratLb6AtvgCauV0aFCCWwPi3UqkCwYAIo654+Wkk05SXl6e8vLyar0S1bIsdenSRV26dFFGRsaxvG2joeMFQKywLUtZJ/eKdhnAUSuzLH180Ku8QChyzTAMXXzNtTr3+f+LYmUAmrOKQ4VXrlyp+bffWOP2Q85Dq3kHJriVxmpeoEkqDlvaUBrQ+lK/isNWtWNMw1B3j1Pnv/+5+g8eLKfzmNefAi1WUVFReRfMv9/QrpnvVTvGPHRG0uAEt9KZNwE0Yw3e8TJu3Dj94Q9/0F/+8hc98MADtXrNc889p3379mnChAnH+rYAgEo4xwWxqjhs6YODJToY/G4LEJdh6Lq/TNIJ114XxcoANHeGYah79+7q3r27xowZo/Xr12vpxx9qw99eqjIuZNva7Atosy+gFKepgfEeDUxwK5nVvEBUWbatHH9I60r9yvGHatxCMMVpasQjT+n0n16v5OTkRq4SaF5SUlI0cuRInXXWWcrMnKgVK1Zo8f23Vekus2xb23wBbfMFlOp0aGC8WwMT3Epi3gTQQh1zx8uBAwfUu3dvFRcX6+mnn9aDDz4oh6P6/ZDD4bCeffZZPfbYY0pNTdXWrVvVtm3bOhXe0Oh4AdCU7fvDIyqa8Va0ywCOyf5gWB8cLJG30srUeNPUrbO/1HFDToheYQBatH379mnlypX6+td3qmTf3mrHGIahNLdTgxLc6hnnkpPVvECjKQqFtf7Q2S3eGrpbHIahvsf10Og331XPnj1ZcQ80oOLiYq1atUqL3v2vvp3+72rHmIah4zxODU7wKN3jlMn3JIBmoLYdL8ccvEjSnDlzdOGFFyoYDKpr16668sorNWzYMHXo0EG2bWvv3r1asWKF3n33Xe3cuVNOp1Mff/yxRo8efaxv2WgIXgA0RYEd2cq97JxolwEcs1x/UDPzvQpY3/34keI0dc+yDWrfqVMUKwOAcuFwWFu3btWKRQu17JFf1XhWRJxpql98+VZkHVxsXQQ0hLBtK7ssqHWlAe0I1Nzd0trp0DmvvqHho0YpMTGxkasEWjbbtpWVlaUVK1Zo4b231DhvJjtMDUqgexRA7GuU4EWSli1bpuuvv16bNm2qdjVJxZfv16+fXn/9dZ166ql1ebtGQ/ACoCmxbVtZw3tGuwygTrLKgpqV71W40o8e7V0O3bs+hy1AADRJJSUlWr16tRb89S/aOffLGsd1cDk1MMGtfvEuxdXy/EsANSsIhbW+NKCNvh/ubhkwcKBG//M/6t69O90tQBNQUlKiVatWacnMj7T9jb9XO8YwDPU41AXTgy4YADGo0YKXCrNnz9asWbO0atUqHThwQLZtq127dho6dKjGjBmjsWPHxtQPQgQvAJoKznFBc7ArENJ7B0oUqvRjR7rHpbs2fyuPxxPFygDgyGzb1rfffquMjAzNu/0GBa3qP0I5DEO94sq7YNLc3EwCjkbItpV1qLsl1x+scVwbl0PnvzZNJ/7oTCUkJDRihQBqy7Zt5eTkaMWKFfrmvlsVDoWqHZfkMDUwwa1B8W6lOKs/vgAAmppGD16aG4IXANGW/8bfdHDSs9EuA6izwlBY0w+UqLTSitX+8W7dsnVXjefDAUBTFQgEtH79ei35YIY2/P3lGsclO0wNSHBrYLxbqdxMAmp0MBTWutKANpUG5LOq725xGYYGDRum816ZorS0tJha1Am0dF6vV6tXr9aSzz5V9uSXqh1jGIa6e5waFO/WcXEuOfgeB9CEEbzUEcELgGgJ5x9QznnDo10GUC/KLEvT95coPxSOXOsd59admbtlsh0PgBh34MABrVy5Ul/fdbOKCgpqHJfmcWlQgls941xycTMJUNC2tc0X1HqfXzv91a+El8q3JD3/zXd1wmmnKy4urhErBFDfbNvWjh07ys+CeeRXChTkVzsu0WFqYLxbgxJYuACgaWrw4OVPf/rTMRcnSQ8++GCdXt/QCF4ARAPbiqE5Cdm2PjhYUuWGSke3Uw9u2yWXyxXFygCgflmWpW3btmnFNwu05JFf1XiwsMc01C++vAumg8vBqn20OPuDYa0v9WujLyB/DVv2uUxDQ884S+e++Kq6dOnC9wnQDPl8Pq1evVpLv/5K216qeZeHdI9Lgw8tXKALBkBT0eDBi2matf4BqOItKo8Ph8M1DW8SCF4ANKbtY3+k0J68aJcB1BvbtvVpQak2+wKRa6lOhx7auF1JSUlRrAwAGpbX69WaNWs0/y/P6Ntv5tU4rp3LoYEJbvWPdyueDkA0YwHL1taygNaVBrQ7UHN3S0e3U6Pf+lBDhg/n/DeghbBtW7m5ucrIyNDC3z2msp251Y5LcJgacKgLpjVdMACirMGDlyeeeOKoVp7s2bNHb7zxhnw+nwzDiJngZc15w9UmrYec3dLk6pouZ8fOcrTvKGebtjJTWslMSpYZHy+53KzEAXDUSj6bqT0T74p2GUC9W1Ts09LissjjONPUg6u3qF27dlGsCgAaj23b2rlzpzIyMjTvtusVqGF1v8MwdFycS4Pi3Ur3OGXymQLNxN5gSOtKA9rsC9T4999tGjrp3NE6508vqVOnTo1cIYCmxOfzae3atVq2YIE2//mpGselVeqCcTJnAoiCJnPGy4EDB/Tss8/q1VdfldfrVWJiou644w798Y9/bMi3rbOK4GXl0HQlO5r2CjRnpy5ydj0UDHXpJmfHLnK2ay9Hm3YyU1NlJh4Kh5wuwiGgibD8fmWf0T/aZQANYl2pX18UlEYeOwxD98xbqh69+0SxKgCInmAwqA0bNmjxu//V+n/+X43jkhymBia4NSDerVas6EUM8lu2tvjKu1v2BmvubunsduqCd2dr0NChcrvdjVghgKauYuHCihUrtPj5Z+XdsqHacfGmqf4Jbg1OcKsNcyaARhT14OXgwYP685//rFdeeUVer1fx8fG6/fbb9eCDD8bEatdYCl4ak6tnH6X9938y2A4BOGac44LmbLs/qI8Oequcb3DD69N00o/HRLEqAGg6Dh48qFWrVumLCT9XsbekxnHdPE4NjPeod7xLLhZPoQmzbVu7g2GtKw1oqy+gYA23GOJMU8MuvFijnv6TOnTo0MhVAohFfr9fa9eu1dJFi7TpD4/VOK6rx6nB8R71Ys4E0AiiFrzk5+frueee08svv6zi4mLFx8frtttu00MPPaT27dvX51s1KIKX2jtuwYbyjhoAPyjvtp/Jt/SbaJcBNJj9wbDeOVBcZTuRH998i8Y9XfOBmQDQUlmWpczMTC2fP1dLH31A4Ro+lrlNQ33j3BqY4FYnl4MOdjQZZZalTb6g1pf6tT9Y81bi3TxO/fi9zzRoyBA5nc5GrBBAc2Hbtnbt2lXeBfPqJBWvXFbtuDjTVP94lwYneNTWRRcMgIbR6MFLQUGB/vKXv+ivf/2riouL5fF4dOutt+qhhx5Sx44d6+MtGhXBy7Hr/r/FcraPvf/PgYbiW7lUeTdfHe0ygAZVHLY0fX+xSsJW5NqJgwbphs8XcJMQAI6gtLRUa9as0bxnn9K3ixfWOK6ty6GB8W5197jUxmny7ysanW3byguEtd7n11ZfUKEabifEm6ZOufIajXz0qZjY8QJA7PD7/Vq3bp1WLF+udU88VOO4zm6nBie41SfeTRcMgHrVaMFLYWGhnn/+eb300kuRwGXChAl6+OGHY/pwPIKX+tP1Xx8qbuCQaJcBNDo7HFbWKb2jXQbQ4PyWrRkHirWv0mrXdI9L92XulsPBSjMAqK2KFb0ZGRmae8t18tdwILkkJThMdXU71c3tVDePU60dBDFoOD7L0sbS8rNb8kM1d7eke1y64OMv1X/AALpbADS43bt3a8WKFVry+j9UsODrasd4TEP9490anOBRO7pgANSDBg9eioqK9MILL+jFF19UYWGhPB6PfvnLX2rixInq3LnzMRfeVBC8NJyOz/xVSaMvjHYZQIPiHBe0FJZt66ODXm33ByPX2rkcemhrnjweTxQrA4DYFgwGtWnTJi2e9m+tnTr5iOMTDwUxaR6nurqdakUQgzqybVvfBkJaVxpQZlmwxu3wEh2mTrvuRp31wCNq06ZNI1cJAFIgEND69eu1fPlyrf3tAzWO6+R2alCCW33j3HKbzJEAjk2DBy9t2rRRYWGh3G63br75Zv3mN79pFoFLBYKXxtN6wj1qc8u90S4DqBf7/vCIima8Fe0ygEZh27a+LPRpXak/ci3RYerh9dlKTU2NYmUA0Lzk5+dr1apV+vKuX6rwwP5avSbJYaqb26muHqfS3E6lEMSglrxhSxt9Aa0vDaighu4WwzDU3ePUmFnz1LdvXzpcATQZe/bsUUZGhpZM+7cOfv5JtWPcpqF+8W4NTnCrg4vuPABHp8GDF9Ms/8HdNE25XK6jeq1hGPJ6vcfyto2G4CV6Ekacq07P/4MPhogJtm2rcNpUHfjL09EuBWh0y0vK9E2RL/LYZRr69fINzWohBgA0JbZta//+/crJyVHm5s1a+dDd8lnWkV8oKdlhRrphurmdSnFyoxzfsW1b2/0hrS8NKMsflFXDbYIkh6kfTbhdZ97zAIssADRpwWBQGzZs0IoVK7TqkftrHNex4iyYOLc8dMEAqIVGCV7qwqrlB4RoIXhpOhxt26v7rIUy2CMYURbIyVTu+POiXQbQJGzxBTQ7/7tFFKZh6NZPvlD/E0+KYlUA0LLYtq19+/YpOztbWRs3aOUjv1JZLT9npTodVc6I4TNPy1QctrShNKANPr+KQtX/3TENQz08To399Bv17t27zvcCAKCx7du3TxkZGVr6/jva9+G71Y5xmYb6xpV3wXR0OVgMDKBGDR68NHcEL03bcXPXyExKjnYZaKbsgF97HrlX3i//F+1SgCYpLxDS+wdKFKr0I8RVv3tWZ/7ilihWBQCwbVt79uxRTk6Otq1epdVPTZTfqt3HvVZORySE6ep2KonPQM2WZdvK8Ye0vtSvbH9INd0SSHGaOvOuX+lHt92t5GQ+ewGIfaFQSBs3btSKFSuUMfHeGse1dzk0OMGjfvF0wQA4HMFLHRG8xJb0D+fK1S092mUgBpV8MVt7Hrw92mUAMSM/FNb0/SVVVlSPuGCMrpg6LYpVAQCqY1mW9uzZo+zsbG1bvlRrnn1SgVoGMa2dDnXzlHfEdHU7lchnophXFAprvS+gDaUBlYRr7m7pGefSuM8XqWfPnqz4BtBs7d+/XxkZGVo2a6b2/PfNase4TUMD4906PtGjNmzRCeAQgpc6IniJbV3+8bbiTzo12mWgCQnt26vca8fKyj8Q7VKAmFUatvTOgZIqB+32a52q29fncGMGAGKAZVnatWuXcnJytGXBPK2b9CcFaxnEtHE5lHYohOnmcSqe7aZiQti2lV0W1LrSgHYEau5uaeV06KwHHtHpN01QUlJSI1cJANETCoW0efNmrVixQssfurvGcekel4YmetTD45TJZx+gRSN4qSOCl+al/WN/VMqlV0e7DDQCOxzWgZeeUeF/Xot2KUCzErRtvX+gRLsCoci1Lm6nfp25W07O4AKAmBQOh5WXl6ecnBxt/uIzbfz7ywrW8uNhO5cj0g3TzeNUHEFMk1IQCmt9aUAbfQF5a+hucRiGese5NPaLJerRoweLKAC0eAcPHlRGRoYW/PV5HVy6sNoxKU5TQxI8GpjgZhEC0EIRvNQRwUvzlnrtjWr3699GuwzUUdnqFdp50xXRLgNo9mzb1qyCUm3zBSLXWjsdemhzrhISEqJYGQCgPoXDYe3cuVM5OTna+PEH2vyfqVXO86qJYRhq5zTV1e1Umselrm6HPNyManQh21bWoe6WXH+wxnFtXA6NfPRpnfqzG5jHAaAaFWfBLPr6K637Q/X3jpyGob7xbg1NdKuDi4VoQEtC8FJHBC8tS9wJw9Xln9NZ5dVEWSXF2jnhGgU2b4h2KUCLNL/Ip4ySssjjeNPUQ2u3qU2bNlGsCgDQ0EKhkL799lvl5ORowztvaev77yhcyyCmg8tR3g3jdqqL28nhxPXItm0FbMlnWSq1bJWGLe0KhrWxNCCfVX13i9Mw1CfepXFfLVdaWhqfewCglvLy8rR06VLNu+MmhWr4N7az26mhiR71jnPJwb+vQLNH8FJHBC8tm+F267h5a2W43NEupUWxbVtF/31D+//8ZLRLAXDIGq9fXxWWRh47DUP3Lliu9J69olgVACAagsFgJIhZ9/o/lPX57FoFMaZhqH2lM2K6uJ1yE8RUEbZt+Sw7Eqb4wrZKK34f+W95yOKz7Fp1IknlW8Kd/fvndMqV1youLq6B/xQA0HyVlpZq5cqVWvDWm9r53n+rHZPoMDUowa3BCR7uJQLNGMFLHRG84Pt6fJEhR6vW0S6j2Qhkb1PuFedHuwwAPyC7LKiP871VDuL9xZtva+j5F0SxKgBAUxEIBJSbm6ucnBytfeUF5Sz+RlYtg5iOFWfEeMqDGFczWyFc3pViHxaYVA1SLHnD5c+X1bCK+li4TEN949y6cF6GunTpQncLANQjy7K0detWLVm8WMsfvqfaMaZhqFecS0MTPOridvDvMNDMNOvgZd68efrzn/+sFStWaNeuXXr//fd16aWXRp6/4YYb9MYbb1R5zamnnqrFixfX+j0IXnBUDEOutO5ypR0nV4+ecnVLl7NTFznadZCjdRuZSSky4xNktMADqO2AX3t+c4+8X30a7VIAHIU9gZBmHCxR0Prux4Rxt9yuHz/xhyhWBQBoygKBgHbs2KHs7Gyt/tPTyl2/VrX5uOmoCGI85VuTdWqiQcz3u1JKw1VDlGPtSqkvHd1OjXruZQ27+DJ5PJ5GfW8AaIn279+vpUuXav7Tj8mbk1ntmHYuh4YmetQ3zk23J9BMNOvgZfbs2frmm2900kknafz48dUGL3v27NHUqVMj19xu91HtRU/wgljn7NJNrvTj5O7eU85u3eXq3FWOdu3laNNOZvKhIMjlqtf3LPlspvZMvKtevyaAxlcctvTf/cXyhr9bfTt88GBd99l8VmsBAGrN7/dr+/btys7O1qrHH1Tejh21CmKchqFO7u/OiOnkdsrZAPPPkbpSvBWBSgN0pdSWyzSUYJqKNw0lmIZSjuulDhdcpLYnn67k9h2UmJioxMREJSUlKSEhodHrAwCUz3erV6/WwtmfKOtvL1U7xmMaGpjg0ZAEt1o5HY1cIYD61KyDl8oMw6g2eCkoKNAHH3xwzF+X4AUA0BL5LUvvHCjRgWA4cu24OJfuydwj02Q+BAAcu7KyMm3fvl1ZmZnK+PUd2ltQUOsgpvOhEKabx6mOLkeNhxdX7kqp2MarKXWlGIYRCVESTFMJKSnq8OML1e5HZys5LV1JSUlVghS3mzMnASBW2Lat7OxsLV26VIvuv63GOa7HoW3IunucLGwDYlBtg5dmu+/R119/rQ4dOqhVq1YaOXKkfv/736tDhw41jvf7/fL7/ZHHRUVFjVEmAABNRti2NSu/tEro0sHl1B2bdxK6AADqLC4uTv369VO/fv00Zmy2fD6fcnJylL1tm5bfcYP2V5p/KgvZtnL9QeX6g1Kx5DoUxLRymt8FKk2oK6XtiHPU/pwfq1Wf/kpKSYl0pSQmJio+Pp45FQCaKcMw1LNnT/Xs2VNjxozR8uXLtWDyKzow/8sq43LKgsopC6qV06HjE9wamOBWHHMD0Ow0y46X//73v0pKSlL37t2VnZ2txx57TKFQSCtWrKhxr9snnnhCTz755GHX6XgBALQEtm1rTmGpNpQGIteSHaYe3rhdycnJUawMANBSeL1ebd++XZmbNmnFvb/UwRqCmIZmGOUBSvyhQKXVwMFqd/5YtT7+RCW3aRPpSklMTKQrBQDwg0KhkNavX69F8+drw+8frXaMyzDUL96toYketXOxDRnQ1LXorca+b9euXerevbvefvttXX755dWOqa7jJS0tjeAFANAiLCku0+JiX+Sx2zT0QMYmdezYMYpVAQBaspKSEuXk5Chz/Tpl/PoO5YeOPYip3JWS0rGT2p8/Tm1OOV0pnTpX6UihKwUA0FB27typJUuWaMGDdyvkLal2TFePU0MSPOoV56pxW00A0dXitxqrrHPnzurevbu2bt1a4xiPx1NjNwwAAM3ZxtJAldDFNAzdMutrQhcAQFQlJSVp8ODBGjx4sC65+hoVFxcrJydH21au0KpHfqWgJ05xgTIleNxqN+rHanvm2Urt0VPJycmHhSkulyvafxwAQAvXtWtXXX755Ro9erQyMjK0cMZ05U3/d5UxO/0h7fSHlOgwdXyCR4MT3EpkQTgQk1pE8HLgwAHl5uaqc+fO0S4FAIAmJdcf1BeFpVWuXfWHP6vP0KFRqggAgOolJyfr+OOP1/HHH6/Lfn5DtMsBAOCYJCUlacSIETrzzDO16ZbbtWTJEq38zX1VxnjDlhYX+7SspEy941wakuhRZ5dDBl0wQMyIyeClpKRE27ZtizzOzs7WqlWr1KZNG7Vp00ZPPPGExo8fr86dOysnJ0e/+c1v1K5dO1122WVRrBoAgKblQDCsT/K9ClfadXTU2HE644abo1gVAAAAADR/pmlq4MCBGjhwoMaNG6elS5dq4fN/VMnGdZExYdvWZl9Am30BdXA5NSTRrb7xbrkIYIAmLybPePn66681atSow65ff/31evXVV3XppZdq5cqVKigoUOfOnTVq1Cg9/fTTSktLq/V7FBUVKTU1lTNeAADNkjdsafqBYhWFrMi1gW1Sdcu6HFZRAQAAAEAUlJWVadWqVVr8xRxlvfxctWPiTFODEtw6PsGtVKejkSsEUNszXmIyeGkMBC8AgOYqYNl672CJ9gRCkWvdPE79KnOPHA5+cAcAAACAaLJtW5mZmVq6dKmW/PoOVXf71jAMHedxakiiR+luJwvogEZS2+AlJrcaAwAAx8aybX1a4K0SurR2OnTXxlxCFwAAAABoAgzDUO/evdW7d2+NGTNGy5Yt06J/TdWBObMjY2zbVlZZUFllQbV2OjQk0aMB8S55TBaQA00BHS81oOMFANAczS0s1SqvP/I4wWHqobWZat26dRSrAgAAAAD8kGAwqLVr12rJooXa+LtHqx3jMg0NiHdrSIJHbV0srAMaAluN1RHBCwCguVnpLdO8Ql/kscswdN/CDHXrcVwUqwIAAAAA1JZt28rNzdXSpUu16MmJCu7fV+24NI9LQxLc6hnnksk2ZEC9YasxAAAQsc0X0PyisshjwzB0/b/+S+gCAAAAADHEMAylp6crPT1dP/7xj7VixQot+vhD7XprapVxuf6gcv1BJTtMHZ/o0aB4txJYXA40GjpeakDHCwCgudgVCOn9AyUKVpryL771Dp33+O+jWBUAAAAAoD6Ew2Ft3LhRS5cu1apH7q92jMMw1DfepSEJHnVysxYfOFZsNVZHBC8AgOagMBTW9AMlKg1bkWunHH+8fvbZ/ChWBQAAAABoCLt379bSpUu1+NVJKlm1vNoxHd1ODU3wqE+8S062IQOOCsFLHRG8AABiXZllafr+EuWHwpFrveJcuitzj0yTuQ0AAAAAmiufz6eVK1dqydyvlT3pT9WOiTdNDU5w6/hED/c/gVoieKkjghcAQCwL2bY+OFiinf5Q5FpHt1MPbtsll8sVxcoAAAAAAI3Fsixt27ZNS5cu1dIH7qx2jGEY6uVxaUiiW93cThl0wQA1qm3wwoZ+AAA0M7Zta05BaZXQJdXp0D3rcwhdAAAAAKAFMU1Tffv2Vd++fTVmzBgtW7ZMS96ZpgOzPoyMsW1b28oC2lYWUBuXQ0MTPOof75bbJIABjhUdLzWg4wUAEKsWFfu0tLgs8thjGnpw1Ra1b98+ilUBAAAAAJqCQCCgNWvWaMnixdr8+0erHRNvmjoh0aOhiW552KoaiGCrsToieAEAxKJ1pX59UVAaeewwDN356Vz1On5IFKsCAAAAADQ1tm1r+/btWrp0qZb9+ffyf7v9sDFu09DQBI9OSPQogXukAFuNAQDQ0mz3B/VVoa/KtWv++BdCFwAAAADAYQzDUI8ePdSjRw9dcMEFWr58ub55c6r2ffpxZEzAsrWspEyrvH4NTvTopESPkghggCOi46UGdLwAAGLJ/mBY7xwoVsD6blo/b9yFuvif/45iVQAAAACAWBIKhbRy5Up99Z839e1//3XY8w7D0MAEt4YlepTqdEShQiC62GqsjgheAACxojhsafr+YpWErci1wW1a6ZfrsmUYHIYIAAAAADg64XBYa9eu1Vcz3lH2P1857HnTMNQv3qXhSXFqQwCDFoTgpY4IXgAAscBv2ZpxoFj7guHItXSPS/dl7pbDwQ+/AAAAAIBjZ1mWNmzYoK8/+VhbXnz2sOcNw1DvOJdOTvKovYtTLdD8ccYLAADNnGXbmp3vrRK6tHM5dOemXEIXAAAAAECdmaapwYMHa9CgQdpy6eWa+/lnWvf7xyLP27atrb6AtvoCOi6uvAOmi5tbzgDfBQAAxCDbtvVVoU/b/cHItUSHqXvWZikuLi6KlQEAAAAAmhvDMNSvXz/17dtX2WPHae5XX2nlo7+qMia7LKjssqDSPOUdMN3cTra/RotF8AIAQAzK8Pq1rtQfeewyDd21cKVSU1OjWBUAAAAAoDkzDEM9e/ZUz549dd7o0Zo7d66WPnBnlTG5/qBy/UF1cjt1SlKcengIYNDycHgJAAAxZosvoAVFvshj0zB007/fVZf07lGsCgAAAADQkqSlpelnP/uZJmZs1Jkv/f2wcGV3IKSPDpZo2v5ibfEFZHHUOFoQghcAAGJIXiCkzwtKq1y75LY7NWjUuVGqCAAAAADQknXu3FlXXXWVHl29RWe/MkXm9wKYfcGwZud79e99xdpQ6leYAAYtgGHb/E2vTlFRkVJTU7VyaLqSHeRTAIDoyw+FNX1/icosK3Lt9CHH69pP50exKgAAAAAAvpOfn68FCxboy1t+Xm3IkuI0NTwxTgMS3HKyBRliTHHY0omrd6iwsFApKSk1jiNRAAAgBpSGLX100FsldOkT79Y1/5sXxaoAAAAAAKiqdevWuuiii/Tkpu0aO/VtuVxVjxkvCln6srBUr+8tUkZJmQIWfQFofgheAABo4oK2rZn5XhWEwpFrnd1O3bYljwMKAQAAAABNUkpKii644AI9tXG7Lvn3DMW361DleW/Y0vwin17fW6SlxWXyV1poCMQ6ghcAAJow27b1WUGpdgVCkWutnA7ds3GHnE7nD7wSAAAAAIDoS0xM1Lnnnqsnlq7W+Lc/VHLvvlWe91mWFhX7NGVvkRYV++QjgEEzQPACAEAT9k1xmbb5ApHH8aape1ZtUUJCQhSrAgAAAADg6MTHx2vkyJF6/IsFumbGLLUdfmqV5wOWraXFZZq6p0jzinwqCRPAIHYRvAAA0ESt8fq1oqQs8thpGLrt8/lq27ZtFKsCAAAAAODYud1unXHGGXrk/U903Uefq9N5F1R5PmjbWllSptf3FunLwlIVVdp2G4gVBC8AADRB2WVBfV3kq3Lt2mefV4+Bg6JUEQAAAAAA9cfpdOrkk0/WQ6//RzfN/lrp46+t8nzYtrXW69cb+4r1WYFXBwlgEEMIXgAAaGL2BkOaXeCVbduRa6MvvEgnX3djFKsCAAAAAKD+ORwOnXDCCbp/0iua8PkC9brx1irPW7atjaUB/XtfsWble7UvGKrhKwFNh2FXvquDiKKiIqWmpmrl0HQlO8inAACNozhs6b/7i+WttJftkDat9It12TIMI4qVAQAAAADQ8Gzb1pYtW/Tl+zO08aU/VTvmuDiXhifFqYvb2cjVoaUrDls6cfUOFRYWKiUlpcZxBC81IHgBADQ2v2XpnQMlOhD8rn26R5xL92bukWkyFwEAAAAAWg7btpWdna2vZ8/Sqt89Wu2YNI9LJyd51M3tZLEiGgXBSx0RvAAAGlPYtvXRQa92+IORax1cTj24LU9utzuKlQEAAAAAEF07duzQ3C++0LLf3Fft853cTp2SFKceHgIYNKzaBi8kCgAARJlt2/qy0FcldEl2mLpnfTahCwAAAACgxUtPT9d1N96oiRkb9aMX/nbY87sDIX10sETT9hdriy8gi14DRBnBCwAAUba0xK8Npf7IY7dp6K7Fq5WcnBzFqgAAAAAAaFo6d+6sq6+5Ro+t2aqRL78m83vdLfuCYc3O9+rf+4q1sTSgMAEMooTgBQCAKNpUGtDiYl/ksWkYunnae+rULS2KVQEAAAAA0HS1b99e48eP1+Prs3T+3/8lx/cCmPxQWJ8VePXmviKt9foVIoBBIyN4AQAgSr71BzWnsLTKtcvvuFv9R4yKUkUAAAAAAMSO1q1b66KLLtKTm7Zr7NS35fpeAFMUsvRlYale31ukjJIyBSwCGDQOw7aJ+6pTVFSk1NRUrRyarmQH+RQAoH4dCIb1zoFi+Sv90Hfm0CG66n/zolgVAAAAAACxy+v1atGiRfrf9VdWG7LEm6ZOSPRoaKJbHpN7vjh6xWFLJ67eocLCQqWkpNQ4jr9dAAA0Mm/Y0kf5JVVCl/7xbl05e24UqwIAAAAAILYlJibqvPPO09Pb8jT+7Q+VkFT17FSfZWlRsU9T9xZpUbFPPsuKUqVo7gheAABoRAHL1sf5XhWFvvvhrpvHqQlb8mR8ryUaAAAAAAAcvfj4eI0cOVJPrc/UNTNmKTW9e5Xn/ZatpcVlmrqnSPOKfCoJE8CgfhG8AADQSCzb1mcFXu0JhCLXWjsdumtjrpxOZxQ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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ei_air_pollution_functions.change_in_concentration_line(\"nox\", baseline_DFs, change_postive_DFs, [\"Friday\"], list(np.arange(0,24)), \"nox_change_line_positive\")\n", - "ei_air_pollution_functions.change_in_concentration_line(\"nox\", baseline_DFs, change_negative_DFs, [\"Friday\"], list(np.arange(0,24)), \"nox_change_line_negative\")" - ] - }, - { - "cell_type": "markdown", - "id": "75ebe22b-f255-4321-8822-4d3dbf38ffbc", - "metadata": {}, - "source": [ - "# Example of using the model to create new predictions based on a changing feature vector. \n", - "Exploring the air pollution change when the wind gust doubles across all locations within the feature vector. " - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "6b6b8553-ebe4-4a2f-bd34-3bdbb9e668b0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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UK Model Grid IDgeometrygeometry CentroidBicycle ScoreCar and Taxi ScoreBus and Coach ScoreLGV ScoreHGV ScoreRoad Infrastructure Distance residentialRoad Infrastructure Distance footway...downward_uv_radiation_at_the_surfaceinstantaneous_10m_wind_gustsurface_pressuretotal_cloud_covertotal_column_rain_waterinstantaneous_surface_sensible_heat_fluxMonth NumberDay of Week NumberHour NumberWeek Number
03327POLYGON ((-627291.443 6441331.988, -626291.443...POINT (-626791.443 6440831.988)10007.1088281.216621e+0613488.654831139514.95716693770.5337202753.679317286.418827...0.00339714.288938101019.5391740.7596220.010557-8.6819981484.103226
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..................................................................
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355827 rows × 176 columns

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" - ], - "text/plain": [ - " UK Model Grid ID geometry \\\n", - "0 3327 POLYGON ((-627291.443 6441331.988, -626291.443... \n", - "1 3328 POLYGON ((-627291.443 6442331.988, -626291.443... \n", - "2 3329 POLYGON ((-627291.443 6443331.988, -626291.443... \n", - "3 3330 POLYGON ((-627291.443 6440331.988, -626291.443... \n", - "4 3331 POLYGON ((-627291.443 6439331.988, -626291.443... \n", - "... ... ... \n", - "355822 641080 POLYGON ((195708.557 6853331.988, 196708.557 6... \n", - "355823 641081 POLYGON ((195708.557 6854331.988, 196708.557 6... \n", - "355824 641082 POLYGON ((195708.557 6855331.988, 196708.557 6... \n", - "355825 641083 POLYGON ((195708.557 6856331.988, 196708.557 6... \n", - "355826 641084 POLYGON ((195708.557 6857331.988, 196708.557 6... \n", - "\n", - " geometry Centroid Bicycle Score Car and Taxi Score \\\n", - "0 POINT (-626791.443 6440831.988) 10007.108828 1.216621e+06 \n", - "1 POINT (-626791.443 6441831.988) 16487.023986 1.251066e+06 \n", - "2 POINT (-626791.443 6442831.988) 1833.713829 1.190179e+05 \n", - "3 POINT (-626791.443 6439831.988) 0.000000 0.000000e+00 \n", - "4 POINT (-626791.443 6438831.988) 1732.050177 2.104103e+05 \n", - "... ... ... ... \n", - "355822 POINT (196208.557 6852831.988) 13596.817324 9.787431e+05 \n", - "355823 POINT (196208.557 6853831.988) 24380.837990 1.715744e+06 \n", - "355824 POINT (196208.557 6854831.988) 4411.078771 2.874862e+05 \n", - "355825 POINT (196208.557 6855831.988) 1233.091034 1.017223e+05 \n", - "355826 POINT (196208.557 6856831.988) 0.000000 0.000000e+00 \n", - "\n", - " Bus and Coach Score LGV Score HGV Score \\\n", - "0 13488.654831 139514.957166 93770.533720 \n", - "1 14900.079318 135404.950156 58480.551012 \n", - "2 1461.536137 12536.584342 3939.197720 \n", - "3 0.000000 0.000000 0.000000 \n", - "4 2331.433356 24132.360890 16209.862362 \n", - "... ... ... ... \n", - "355822 14690.322791 136780.834557 79930.798957 \n", - "355823 25835.750527 239476.545090 139234.270056 \n", - "355824 4311.416429 40083.964291 22936.132911 \n", - "355825 637.955414 21469.638105 10085.813845 \n", - "355826 0.000000 0.000000 0.000000 \n", - "\n", - " Road Infrastructure Distance residential \\\n", - "0 2753.679317 \n", - "1 3137.131517 \n", - "2 3754.355129 \n", - "3 2647.109137 \n", - "4 2848.071213 \n", - "... ... \n", - "355822 829.455816 \n", - "355823 726.611213 \n", - "355824 820.188165 \n", - "355825 831.314410 \n", - "355826 731.191025 \n", - "\n", - " Road Infrastructure Distance footway ... \\\n", - "0 286.418827 ... \n", - "1 409.868884 ... \n", - "2 481.664337 ... \n", - "3 767.115392 ... \n", - "4 912.665169 ... \n", - "... ... ... \n", - "355822 175.305489 ... \n", - "355823 177.362284 ... \n", - "355824 215.757040 ... \n", - "355825 1064.281788 ... \n", - "355826 1591.647225 ... \n", - "\n", - " downward_uv_radiation_at_the_surface instantaneous_10m_wind_gust \\\n", - "0 0.003397 14.288938 \n", - "1 0.003397 14.277297 \n", - "2 0.003397 14.265657 \n", - "3 0.003397 14.300580 \n", - "4 0.003397 14.312224 \n", - "... ... ... \n", - "355822 141.153534 10.584731 \n", - "355823 140.589823 10.584521 \n", - "355824 140.026182 10.584310 \n", - "355825 139.462612 10.584100 \n", - "355826 138.899113 10.583890 \n", - "\n", - " surface_pressure total_cloud_cover total_column_rain_water \\\n", - "0 101019.539174 0.759622 0.010557 \n", - "1 101016.451755 0.759694 0.010568 \n", - "2 101013.364711 0.759765 0.010579 \n", - "3 101022.626968 0.759550 0.010546 \n", - "4 101025.715136 0.759478 0.010535 \n", - "... ... ... ... \n", - "355822 101023.601012 0.620399 0.000223 \n", - "355823 101022.887259 0.620537 0.000221 \n", - "355824 101022.173596 0.620676 0.000220 \n", - "355825 101021.460022 0.620814 0.000219 \n", - "355826 101020.746537 0.620953 0.000218 \n", - "\n", - " instantaneous_surface_sensible_heat_flux Month Number \\\n", - "0 -8.681998 1 \n", - "1 -8.465279 1 \n", - "2 -8.248586 1 \n", - "3 -8.898744 1 \n", - "4 -9.115515 1 \n", - "... ... ... \n", - "355822 -11.715386 1 \n", - "355823 -11.610241 1 \n", - "355824 -11.505109 1 \n", - "355825 -11.399990 1 \n", - "355826 -11.294884 1 \n", - "\n", - " Day of Week Number Hour Number Week Number \n", - "0 4 8 4.103226 \n", - "1 4 8 4.103226 \n", - "2 4 8 4.103226 \n", - "3 4 8 4.103226 \n", - "4 4 8 4.103226 \n", - "... ... ... ... \n", - "355822 4 8 4.103226 \n", - "355823 4 8 4.103226 \n", - "355824 4 8 4.103226 \n", - "355825 4 8 4.103226 \n", - "355826 4 8 4.103226 \n", - "\n", - "[355827 rows x 176 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "#Read in a particular model of interest, and the typical day feature vector. \n", - "climate_projection_model = ei_models.load_model_united_kingdom(\"0.5\", \"Climate Projections\", \"no2\")\n", - "typical_day_feature_vector = ei_models.load_feature_vector_typical_day_united_kingdom(1, \"Friday\", 8, uk_grids)\n", - "display(typical_day_feature_vector)\n", - "\n", - "typical_day_feature_vector_climate_change = typical_day_feature_vector.copy(deep=True)\n", - "\n", - "#Double the wind gusts within the feature vector DF.\n", - "typical_day_feature_vector_climate_change[\"instantaneous_10m_wind_gust\"] = typical_day_feature_vector_climate_change[\"instantaneous_10m_wind_gust\"] * 2" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "f70132a1-bfb3-411c-ba71-90a659215c18", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " UK Model Grid ID Model Predicition\n", - "count 355827.000000 355827.000000\n", - "mean 443642.723430 13.828622\n", - "std 136366.465735 10.251087\n", - "min 3327.000000 1.110209\n", - "25% 361150.500000 6.548604\n", - "50% 462899.000000 9.951060\n", - "75% 552098.500000 18.418100\n", - "max 641084.000000 148.069112" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Calculate the air pollution predicitons for the old and the new feature vector and describe the data, highlighting the changes between the scenarios. \n", - "display(ei_models.make_concentration_predicitions_united_kingdom(climate_projection_model, typical_day_feature_vector, ei_models.get_model_feature_vector(\"Climate Projections\")).describe())\n", - "display(ei_models.make_concentration_predicitions_united_kingdom(climate_projection_model, typical_day_feature_vector_climate_change, ei_models.get_model_feature_vector(\"Climate Projections\")).describe())" - ] - }, - { - "cell_type": "markdown", - "id": "3058085f-5c01-4916-99a4-a7ef0a7ca806", - "metadata": {}, - "source": [ - "# Access Up to Date OpenStreetMaps data" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "97cda1fd-34c4-4ddf-9d22-bca1a9d803a3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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namegeometry
0National Hospital for Neurology and NeurosurgeryPOINT (-0.12236 51.52223)
1Priory HospitalPOINT (-0.11830 51.63206)
2Bridge Lane Health CentrePOINT (-0.16632 51.47327)
3Royal Home and Hospital for IncurablesPOINT (-0.10707 51.42309)
4Chelsfield Park HospitalPOINT (0.13167 51.35826)
.........
219Meadows West Park HospitalPOINT (-0.30031 51.33989)
220Newham Centre for Mental HealthPOINT (0.03881 51.52028)
221Maudsley HospitalPOINT (-0.09026 51.46904)
222London ClinicPOINT (-0.14997 51.52290)
223The PrioryPOINT (-0.25138 51.46226)
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namegeometryhighwaysource
0UnknownLINESTRING (-194749.820 6867752.651, -194547.3...motorwayosm
1UnknownLINESTRING (-192546.852 6864775.738, -192550.5...motorwayosm
2UnknownLINESTRING (-378563.970 7510092.540, -378580.2...motorwayosm
3UnknownLINESTRING (-380180.050 7513764.306, -380104.9...motorwayosm
4UnknownLINESTRING (-379081.772 7511845.266, -379154.3...motorwayosm
...............
13076UnknownLINESTRING (-378312.844 7532311.808, -378463.2...motorwayosm
13077UnknownLINESTRING (-377875.247 7532600.293, -377922.3...motorwayosm
13078UnknownLINESTRING (-377048.667 7536231.467, -377042.9...motorwayosm
13079UnknownLINESTRING (-378539.446 7532187.340, -378187.6...motorwayosm
13080UnknownLINESTRING (-379247.204 7530813.650, -379213.5...motorwayosm
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13081 rows × 4 columns

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" - ], - "text/plain": [ - " name geometry highway \\\n", - "0 Unknown LINESTRING (-194749.820 6867752.651, -194547.3... motorway \n", - "1 Unknown LINESTRING (-192546.852 6864775.738, -192550.5... motorway \n", - "2 Unknown LINESTRING (-378563.970 7510092.540, -378580.2... motorway \n", - "3 Unknown LINESTRING (-380180.050 7513764.306, -380104.9... motorway \n", - "4 Unknown LINESTRING (-379081.772 7511845.266, -379154.3... motorway \n", - "... ... ... ... \n", - "13076 Unknown LINESTRING (-378312.844 7532311.808, -378463.2... motorway \n", - "13077 Unknown LINESTRING (-377875.247 7532600.293, -377922.3... motorway \n", - "13078 Unknown LINESTRING (-377048.667 7536231.467, -377042.9... motorway \n", - "13079 Unknown LINESTRING (-378539.446 7532187.340, -378187.6... motorway \n", - "13080 Unknown LINESTRING (-379247.204 7530813.650, -379213.5... motorway \n", - "\n", - " source \n", - "0 osm \n", - "1 osm \n", - "2 osm \n", - "3 osm \n", - "4 osm \n", - "... ... \n", - "13076 osm \n", - "13077 osm \n", - "13078 osm \n", - "13079 osm \n", - "13080 osm \n", - "\n", - "[13081 rows x 4 columns]" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Access the amenities of interest, in this case hospitals. \n", - "bbox = [51.29, -0.51, 51.69, 0.33] # Example bounding box around Berlin\n", - "amenities_gdf = ei_data.get_amenities_as_geodataframe(\"hospital\", *bbox)\n", - "display(amenities_gdf)\n", - "\n", - "#Access the highways of interest, in this case motorways.\n", - "bbox = [49.8, -10.5, 60.9, 2.2]\n", - "highways_gdf = ei_data.get_highways_as_geodataframe(\"motorway\", *bbox)\n", - "highways_gdf.crs=4326 \n", - "highways_gdf = highways_gdf.to_crs(3395)\n", - "display(highways_gdf)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "658250b4-512a-49fa-b8fa-07f37f5c1151", - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "#Add into the feature vector a new distance feature vector element for a new moroway onto the exists motorway network. \n", - "start_point = [0.071113, 52.231664]\n", - "end_point = [1.3, 52.6]\n", - "uk_grids_centroid = uk_grids.copy(deep=True)\n", - "uk_grids_centroid[\"geometry\"] = uk_grids_centroid[\"geometry\"].centroid\n", - "new_data, highways_user_added = ei_data.calculate_new_metrics_distance_total(highways_gdf, \"motorway\", start_point, end_point, uk_grids_centroid, uk_grids)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "e72b587b-2e07-4830-b2c7-0efe4e3ca724", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#visualise the new motorway segment (red) alongside the currently existing network (blue)\n", - "color_map = {\"osm\":\"blue\", \"User Added\":\"red\"}\n", - "\n", - "fig, axes = plt.subplots(1, figsize=(15,15))\n", - "highways_gdf.plot(ax=axes, color=highways_user_added['source'].map(color_map))\n", - "axes.axis(\"off\")\n", - "# Create custom legend handles\n", - "legend_elements = [\n", - " matplotlib.lines.Line2D([0], [0], color='blue', lw=2, label='Current\\nMotorway'),\n", - "]\n", - "\n", - "# Add the custom legend to the axis\n", - "axes.legend(handles=legend_elements, fontsize=20, bbox_to_anchor=(1.2,0.95), markerscale=2)\n", - "\n", - "\n", - "fig, axes = plt.subplots(1, figsize=(15,15))\n", - "highways_user_added.plot(ax=axes, color=highways_user_added['source'].map(color_map))\n", - "axes.axis(\"off\")\n", - "# Create custom legend handles\n", - "legend_elements = [\n", - " matplotlib.lines.Line2D([0], [0], color='red', lw=2, label='Proposed\\nMotorway'),\n", - " matplotlib.lines.Line2D([0], [0], color='blue', lw=2, label='Current\\nMotorway'),\n", - "]\n", - "\n", - "# Add the custom legend to the axis\n", - "axes.legend(handles=legend_elements, fontsize=20, bbox_to_anchor=(1.2,0.95), markerscale=2)\n", - "\n", - "#Load in the different models. \n", - "air_pollutants = [\"no2\", \"o3\", \"pm10\", \"pm2.5\", \"so2\"]\n", - "complete_models = dict()\n", - "for air_pollutant in air_pollutants:\n", - " complete_models[air_pollutant] = ei_models.load_model_united_kingdom(\"0.5\", \"Transport Infrastructure Policy\", air_pollutant)\n", - "\n", - "typical_day_feature_vector = ei_models.load_feature_vector_typical_day_united_kingdom(1, \"Friday\", 8, uk_grids)" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "43b0fb44-0de5-4c36-9114-5910003d058c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'Friday'" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "'Friday'" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "'Friday'" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "'Friday'" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "'Friday'" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# The same process as above, is conducted with a real model, and the example of changing the motorway network analysed in the feature vector. \n", - "baseline_DFs_air_pollutant = dict()\n", - "change_DFs_air_pollutant = dict()\n", - "for air_pollutant in air_pollutants:\n", - " month = 1 \n", - " days = [\"Friday\"]\n", - " baseline_DFs = dict()\n", - " changeDFs = dict()\n", - " for day_of_week in days:\n", - " display(day_of_week)\n", - " baseline_DFs_single_day = dict()\n", - " change_DFs_single_day = dict()\n", - " for hour in np.arange(0,24):\n", - " \n", - " #Read in the relevant feature vector for the desired timestamp.\n", - " feature_vector = ei_models.load_feature_vector_typical_day_united_kingdom(month, day_of_week, hour, uk_grids)\n", - "\n", - " #Create the baseline based on the current data\n", - " air_pollution_estimation_baseline = ei_models.make_concentration_predicitions_united_kingdom(complete_models[air_pollutant], feature_vector, ei_models.get_model_feature_vector(\"Transport Infrastructure Policy\"))\n", - " air_pollution_estimation_baseline = air_pollution_estimation_baseline.rename(columns={\"Model Predicition\":\"Model Predicition Baseline\"})\n", - " \n", - " #Modify the feature vector to include details of the new motorway segment. \n", - " feature_vector_modified = ei_data.replace_feature_vector_column(feature_vector, new_data, \"Road Infrastructure Distance motorway\")\n", - " feature_vector_modified = ei_data.replace_feature_vector_column(feature_vector_modified, new_data, \"Total Length motorway\")\n", - " \n", - " #Calculate the new air pollution concentrations based on the modified feature vector. \n", - " air_pollution_estimation_modified = ei_models.make_concentration_predicitions_united_kingdom(complete_models[air_pollutant], feature_vector_modified, ei_models.get_model_feature_vector(\"Transport Infrastructure Policy\"))\n", - " air_pollution_estimation_modified = air_pollution_estimation_modified.rename(columns={\"Model Predicition\":\"Model Predicition Modified\"})\n", - " \n", - " air_pollution_estimation = air_pollution_estimation_modified.merge(air_pollution_estimation_baseline, on=\"UK Model Grid ID\")\n", - " \n", - " air_pollution_estimation_difference = air_pollution_estimation[air_pollution_estimation[\"Model Predicition Baseline\"] != air_pollution_estimation[\"Model Predicition Modified\"]]\n", - " \n", - " baseline_DFs_single_day[hour] = air_pollution_estimation_difference[[\"UK Model Grid ID\", \"Model Predicition Baseline\"]].rename(columns={\"Model Predicition Baseline\": \"Model Predicition\"})\n", - " change_DFs_single_day[hour] = air_pollution_estimation_difference[[\"UK Model Grid ID\", \"Model Predicition Modified\"]].rename(columns={\"Model Predicition Modified\": \"Model Predicition\"})\n", - "\n", - " baseline_DFs[day_of_week] = baseline_DFs_single_day\n", - " changeDFs[day_of_week] = change_DFs_single_day\n", - " baseline_DFs_air_pollutant[air_pollutant] = baseline_DFs\n", - " change_DFs_air_pollutant[air_pollutant] = changeDFs" - ] - }, - { - "cell_type": "markdown", - "id": "f7a29641-c479-458c-aea0-91afdc4cf7b0", - "metadata": {}, - "source": [ - "# Visualise the changes in air pollution across a typical friday due to the placement of the new motorway segment " - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "bf1ee50b-136e-44cf-9165-45ae575fff5a", - "metadata": {}, - "outputs": [ - { 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "chage_concentration_lines_figs = dict() \n", - "for air_pollutant in air_pollutants:\n", - " chage_concentration_lines_figs[air_pollutant] = ei_air_pollution_functions.change_in_concentration_line(air_pollutant, baseline_DFs_air_pollutant[air_pollutant], change_DFs_air_pollutant[air_pollutant], [\"Friday\"], list(np.arange(0,24)), \"motorway_addition_\"+air_pollutant)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2215029b-582b-4a63-ae23-8bc929b841b4", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2b656e69-4f56-4a3c-83c2-b31b03199d3e", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.19" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/MANIFEST.in b/MANIFEST.in new file mode 100644 index 0000000..f568748 --- /dev/null +++ b/MANIFEST.in @@ -0,0 +1,8 @@ +include README.md +include LICENSE +include requirements.txt +recursive-include environmental_insights/environmental_insights_data * +recursive-include environmental_insights/environmental_insights_models * +recursive-include environmental_insights/environmental_insights_visulisations * +recursive-include Documentation * +recursive-include tests * diff --git a/README.md b/README.md index c3c9cf4..a3241bb 100644 --- a/README.md +++ b/README.md @@ -77,3 +77,11 @@ The documentation for the project is included within the directory "Documentatio ### Author [Liam Berrisford](https://liamberrisford.info/) + +# Creating Packages + +## Pypip + +Using `python -m build` will use the `pyproject.toml` file to locally build the package and store it within the `dist` directory. This can then be installed using `pip install dist/*.whl` + +## Conda diff --git a/__init__.py b/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/__pycache__/air_pollution_functions.cpython-310.pyc b/__pycache__/air_pollution_functions.cpython-310.pyc deleted file mode 100644 index a63f4e5..0000000 Binary files a/__pycache__/air_pollution_functions.cpython-310.pyc and /dev/null differ diff --git a/__pycache__/data.cpython-310.pyc b/__pycache__/data.cpython-310.pyc deleted file mode 100644 index d580463..0000000 Binary files a/__pycache__/data.cpython-310.pyc and /dev/null differ diff --git a/__pycache__/download.cpython-38.pyc b/__pycache__/download.cpython-38.pyc deleted file mode 100644 index e52935f..0000000 Binary files a/__pycache__/download.cpython-38.pyc and /dev/null differ diff --git a/__pycache__/models.cpython-310.pyc b/__pycache__/models.cpython-310.pyc deleted file mode 100644 index 68877d0..0000000 Binary files a/__pycache__/models.cpython-310.pyc and /dev/null differ diff --git a/__pycache__/variables.cpython-310.pyc b/__pycache__/variables.cpython-310.pyc deleted file mode 100644 index 22117fc..0000000 Binary files a/__pycache__/variables.cpython-310.pyc and /dev/null differ diff --git a/environmental_insights/__init__.py b/environmental_insights/__init__.py new file mode 100644 index 0000000..c95a78c --- /dev/null +++ b/environmental_insights/__init__.py @@ -0,0 +1,14 @@ +# environmental_insights/__init__.py + +# Import specific functions from each module +from .air_pollution_functions import * + +from .data import * + +from .download import * + +from .models import * + +from .variables import * + +# You can also add any initialization code needed for your package here diff --git a/air_pollution_functions.py b/environmental_insights/air_pollution_functions.py similarity index 90% rename from air_pollution_functions.py rename to environmental_insights/air_pollution_functions.py index 3a63a91..b6aabe5 100644 --- a/air_pollution_functions.py +++ b/environmental_insights/air_pollution_functions.py @@ -5,17 +5,22 @@ import matplotlib.patches as mpatches from matplotlib import colors import numpy as np -import variables -import pandas as pd +from . import variables +from pathlib import Path pd.options.mode.chained_assignment = None # default='warn' +# Get the root directory of the package +PACKAGE_ROOT = Path(__file__).resolve().parent +VISUALISATIONS_DIR = PACKAGE_ROOT / 'environmental_insights/environmental_insights_visulisations' + +# Ensure the directory exists +VISUALISATIONS_DIR.mkdir(parents=True, exist_ok=True) -def air_pollution_concentrations_to_UK_daily_air_quality_index( - predicitions, pollutant, air_pollutant_column_name -): +def air_pollution_concentrations_to_UK_daily_air_quality_index(predicitions, pollutant, air_pollutant_column_name): """ - Add onto an existing dataframe the Daily Air Quality Index (https://uk-air.defra.gov.uk/air-pollution/daqi?view=more-info) for the air pollutant concentration data described. + Add onto an existing dataframe the Daily Air Quality Index (https://uk-air.defra.gov.uk/air-pollution/daqi?view=more-info) + for the air pollutant concentration data described. Parameters: predicitions (dataframe): A dataframe of the air pollution concentrations that are to be added onto @@ -241,11 +246,10 @@ def air_pollution_concentrations_to_UK_daily_air_quality_index( return predicitions -def visualise_air_pollution_daily_air_quality_index( - air_pollution_GDF, aqi_to_plot, filename -): +def visualise_air_pollution_daily_air_quality_index(air_pollution_GDF, aqi_to_plot, filename): """ - Visualise air_pollution_GDF with the UK Daily Air Quality Index (https://uk-air.defra.gov.uk/air-pollution/daqi?view=more-info) using the indiviudal index bounds and standard color codes. + Visualise air_pollution_GDF with the UK Daily Air Quality Index (https://uk-air.defra.gov.uk/air-pollution/daqi?view=more-info) + using the individual index bounds and standard color codes. Parameters: air_pollution_GDF (dataframe): A dataframe of the air pollution concentrations that are to be added onto @@ -310,15 +314,14 @@ def visualise_air_pollution_daily_air_quality_index( plt.legend(handles=legend_items, title="UK DAQI") fig.savefig( - "environmental_insights_visulisations/" + filename + ".png", bbox_inches="tight" + VISUALISATIONS_DIR / f"{filename}.png", bbox_inches="tight" ) -def visualise_air_pollution_daily_air_quality_bands( - air_pollution_GDF, aqi_to_plot, filename -): +def visualise_air_pollution_daily_air_quality_bands(air_pollution_GDF, aqi_to_plot, filename): """ - Visualise air_pollution_GDF with the UK Daily Air Quality Index (https://uk-air.defra.gov.uk/air-pollution/daqi?view=more-info) using the bands and standard color codes. + Visualise air_pollution_GDF with the UK Daily Air Quality Index (https://uk-air.defra.gov.uk/air-pollution/daqi?view=more-info) + using the bands and standard color codes. Parameters: air_pollution_GDF (dataframe): A dataframe of the air pollution concentrations that are to be added onto @@ -380,13 +383,11 @@ def visualise_air_pollution_daily_air_quality_bands( plt.legend(handles=legend_items, title="UK DAQI \n Bands") fig.savefig( - "environmental_insights_visulisations/" + filename + ".png", bbox_inches="tight" + VISUALISATIONS_DIR / f"{filename}.png", bbox_inches="tight" ) -def change_in_concentrations_visulisation( - first_dataframe, second_dataframe, air_pollutant, filename -): +def change_in_concentrations_visulisation(first_dataframe, second_dataframe, air_pollutant, filename): """ Visualisation the change in concentrations for two datasets of air pollution concentrations based on actual concentrations. @@ -457,13 +458,11 @@ def change_in_concentrations_visulisation( }, ) fig.savefig( - "environmental_insights_visulisations/" + filename + ".png", bbox_inches="tight" + VISUALISATIONS_DIR / f"{filename}.png", bbox_inches="tight" ) -def change_in_aqi_visulisation( - first_dataframe, second_dataframe, air_pollutant, filename -): +def change_in_aqi_visulisation(first_dataframe, second_dataframe, air_pollutant, filename): """ Visualisation the change in concentrations for two datasets of air pollution concentrations based on air quality indexes. @@ -537,13 +536,11 @@ def change_in_aqi_visulisation( legend_kwds={"format": "%.0f", "shrink": 0.5, "label": "AQI Change (μg/m$^3$)"}, ) fig.savefig( - "environmental_insights_visulisations/" + filename + ".png", bbox_inches="tight" + VISUALISATIONS_DIR / f"{filename}.png", bbox_inches="tight" ) -def change_in_concentration_line( - air_pollutant, baseline_list, change_list, days, hours_covered, filename -): +def change_in_concentration_line(air_pollutant, baseline_list, change_list, days, hours_covered, filename): """ Visualisation the change in concentrations for two datasets of air pollution concentrations in a line graph. @@ -694,5 +691,5 @@ def change_in_concentration_line( axes.legend(loc="upper left") plt.show() fig.savefig( - "environmental_insights_visulisations/" + filename + ".png", bbox_inches="tight" + VISUALISATIONS_DIR / f"{filename}.png", bbox_inches="tight" ) diff --git a/data.py b/environmental_insights/data.py similarity index 100% rename from data.py rename to environmental_insights/data.py diff --git a/download.py b/environmental_insights/download.py similarity index 97% rename from download.py rename to environmental_insights/download.py index a4ff2fc..d5a3b59 100644 --- a/download.py +++ b/environmental_insights/download.py @@ -1,9 +1,3 @@ -import os -import requests -import pandas as pd -from rpy2 import robjects - - def import_monitoring_station_data(site, pollutant, years, source): """ Import monitoring station data from specified source and years. @@ -19,6 +13,11 @@ def import_monitoring_station_data(site, pollutant, years, source): or None if any downloads failed. """ + import os + import requests + import pandas as pd + from rpy2 import robjects + # Convert site and pollutant identifiers to uppercase site = site.upper() pollutant = pollutant.upper() @@ -114,6 +113,11 @@ def monitoring_station_meta_data(monitoring_network="aurn"): or None if the download fails. """ + import os + import requests + import pandas as pd + from rpy2 import robjects + # Dictionary mapping monitoring networks to their metadata URLs source_dict = { "aurn": "http://uk-air.defra.gov.uk/openair/R_data/AURN_metadata.RData", diff --git a/.ipynb_checkpoints/README-checkpoint.md b/environmental_insights/environmental_insights.egg-info/PKG-INFO similarity index 88% rename from .ipynb_checkpoints/README-checkpoint.md rename to environmental_insights/environmental_insights.egg-info/PKG-INFO index c3c9cf4..446741b 100644 --- a/.ipynb_checkpoints/README-checkpoint.md +++ b/environmental_insights/environmental_insights.egg-info/PKG-INFO @@ -1,3 +1,30 @@ +Metadata-Version: 2.1 +Name: environmental-insights +Version: 0.1.0b0 +Summary: A Python package for democratizing access to ambient air pollution data and predictive analytics. +Home-page: https://github.com/berrli/Environmental-Insights +Author: Liam J. Berrisford +Author-email: l.berrisford@exeter.ac.uk +Classifier: Programming Language :: Python :: 3 +Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3) +Classifier: Operating System :: OS Independent +Requires-Python: >=3.6 +Description-Content-Type: text/markdown +License-File: LICENSE +Requires-Dist: lightgbm==3.3.3 +Requires-Dist: geopandas==0.14.1 +Requires-Dist: pandas==2.1.3 +Requires-Dist: scipy==1.11.4 +Requires-Dist: matplotlib==3.8.2 +Requires-Dist: overpy==0.6 +Requires-Dist: shapely==2.0.2 +Requires-Dist: pyarrow==14.0.1 +Requires-Dist: pyogrio==0.7.2 +Provides-Extra: dev +Requires-Dist: pytest==8.3.2; extra == "dev" +Requires-Dist: black==23.9.1; extra == "dev" +Requires-Dist: nbformat>=5.0; extra == "dev" +

Environmental Insights

diff --git a/environmental_insights/environmental_insights.egg-info/SOURCES.txt b/environmental_insights/environmental_insights.egg-info/SOURCES.txt new file mode 100644 index 0000000..0f44a34 --- /dev/null +++ b/environmental_insights/environmental_insights.egg-info/SOURCES.txt @@ -0,0 +1,66 @@ +LICENSE +MANIFEST.in +README.md +requirements.txt +setup.py +Documentation/air_pollution_functions.html +Documentation/data.html +Documentation/models.html +Documentation/.ipynb_checkpoints/air_pollution_functions-checkpoint.html +Documentation/.ipynb_checkpoints/data-checkpoint.html +Documentation/.ipynb_checkpoints/models-checkpoint.html +Documentation/environmental_insights_visulisations/.gitkeep +Documentation/environmental_insights_visulisations/test.png +Documentation/environmental_insights_visulisations/uk_2018_01_01_080000_air_quality_index.png +Documentation/environmental_insights_visulisations/uk_aqi_change_between_8_9_am.png +Documentation/environmental_insights_visulisations/uk_concentration_change_between_8_9_am.png +environmental_insights/environmental_insights.egg-info/PKG-INFO +environmental_insights/environmental_insights.egg-info/SOURCES.txt +environmental_insights/environmental_insights.egg-info/dependency_links.txt +environmental_insights/environmental_insights.egg-info/entry_points.txt +environmental_insights/environmental_insights.egg-info/requires.txt +environmental_insights/environmental_insights.egg-info/top_level.txt +environmental_insights/environmental_insights_data/.DS_Store +environmental_insights/environmental_insights_data/air_pollution/.DS_Store +environmental_insights/environmental_insights_data/air_pollution/global_complete_set/.gitkeep +environmental_insights/environmental_insights_data/air_pollution/global_complete_set/07-02-2022 080000.feather +environmental_insights/environmental_insights_data/air_pollution/uk_complete_set/.gitkeep +environmental_insights/environmental_insights_data/air_pollution/uk_complete_set/2018-01-01 080000.feather +environmental_insights/environmental_insights_data/air_pollution/uk_complete_set/2018-01-01 090000.feather +environmental_insights/environmental_insights_data/air_pollution/uk_typical_day/.gitkeep +environmental_insights/environmental_insights_data/feature_vector/uk_typical_day/.gitkeep +environmental_insights/environmental_insights_data/supporting_data/.DS_Store +environmental_insights/environmental_insights_data/supporting_data/.gitkeep +environmental_insights/environmental_insights_data/supporting_data/025latlong_world_grids.gpkg +environmental_insights/environmental_insights_data/supporting_data/1km_uk_grids.gpkg +environmental_insights/environmental_insights_models/global/.gitkeep +environmental_insights/environmental_insights_models/uk/.gitkeep +tests/test_air_pollution_functions.py +tests/test_data.py +tests/test_models.py +tests/.ipynb_checkpoints/tests_air_pollution_functions-checkpoint.py +tests/.ipynb_checkpoints/tests_data-checkpoint.py +tests/.ipynb_checkpoints/tests_models-checkpoint.py +tests/.pytest_cache/.gitignore +tests/.pytest_cache/CACHEDIR.TAG +tests/.pytest_cache/README.md +tests/.pytest_cache/v/cache/lastfailed +tests/.pytest_cache/v/cache/nodeids +tests/.pytest_cache/v/cache/stepwise +tests/__pycache__/air_pollution_functions.cpython-312.pyc +tests/__pycache__/defensive_programming_tests.cpython-312.pyc +tests/__pycache__/test_air_pollution_functions.cpython-311-pytest-8.3.2.pyc +tests/__pycache__/test_air_pollution_functions.cpython-39-pytest-7.4.0.pyc +tests/__pycache__/test_data.cpython-311-pytest-8.3.2.pyc +tests/__pycache__/test_data.cpython-39-pytest-7.4.0.pyc +tests/__pycache__/test_models.cpython-311-pytest-8.3.2.pyc +tests/__pycache__/test_models.cpython-39-pytest-7.4.0.pyc +tests/__pycache__/tests_air_pollution_functions.cpython-310.pyc +tests/__pycache__/tests_air_pollution_functions.cpython-312.pyc +tests/__pycache__/tests_air_pollution_functions.cpython-39.pyc +tests/__pycache__/tests_data.cpython-310.pyc +tests/__pycache__/tests_data.cpython-312.pyc +tests/__pycache__/tests_data.cpython-39.pyc +tests/__pycache__/tests_models.cpython-310.pyc +tests/__pycache__/tests_models.cpython-312.pyc +tests/__pycache__/tests_models.cpython-39.pyc \ No newline at end of file diff --git a/environmental_insights/environmental_insights.egg-info/dependency_links.txt b/environmental_insights/environmental_insights.egg-info/dependency_links.txt new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/environmental_insights/environmental_insights.egg-info/dependency_links.txt @@ -0,0 +1 @@ + diff --git a/environmental_insights/environmental_insights.egg-info/entry_points.txt b/environmental_insights/environmental_insights.egg-info/entry_points.txt new file mode 100644 index 0000000..310d626 --- /dev/null +++ b/environmental_insights/environmental_insights.egg-info/entry_points.txt @@ -0,0 +1,2 @@ +[console_scripts] +insights = environmental_insights.main:main diff --git a/environmental_insights/environmental_insights.egg-info/requires.txt b/environmental_insights/environmental_insights.egg-info/requires.txt new file mode 100644 index 0000000..b9c2545 --- /dev/null +++ b/environmental_insights/environmental_insights.egg-info/requires.txt @@ -0,0 +1,14 @@ +lightgbm==3.3.3 +geopandas==0.14.1 +pandas==2.1.3 +scipy==1.11.4 +matplotlib==3.8.2 +overpy==0.6 +shapely==2.0.2 +pyarrow==14.0.1 +pyogrio==0.7.2 + +[dev] +pytest==8.3.2 +black==23.9.1 +nbformat>=5.0 diff --git a/environmental_insights/environmental_insights.egg-info/top_level.txt b/environmental_insights/environmental_insights.egg-info/top_level.txt new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/environmental_insights/environmental_insights.egg-info/top_level.txt @@ -0,0 +1 @@ + diff --git a/environmental_insights.png b/environmental_insights/environmental_insights.png similarity index 100% rename from environmental_insights.png rename to environmental_insights/environmental_insights.png diff --git a/environmental_insights_data/air_pollution/global_complete_set/.gitkeep b/environmental_insights/environmental_insights_data/air_pollution/global_complete_set/.gitkeep similarity index 100% rename from environmental_insights_data/air_pollution/global_complete_set/.gitkeep rename to environmental_insights/environmental_insights_data/air_pollution/global_complete_set/.gitkeep diff --git a/environmental_insights_data/air_pollution/global_complete_set/07-02-2022 080000.feather b/environmental_insights/environmental_insights_data/air_pollution/global_complete_set/07-02-2022 080000.feather similarity index 100% rename from environmental_insights_data/air_pollution/global_complete_set/07-02-2022 080000.feather rename to environmental_insights/environmental_insights_data/air_pollution/global_complete_set/07-02-2022 080000.feather diff --git a/environmental_insights_data/air_pollution/uk_complete_set/.gitkeep b/environmental_insights/environmental_insights_data/air_pollution/uk_complete_set/.gitkeep similarity index 100% rename from environmental_insights_data/air_pollution/uk_complete_set/.gitkeep rename to environmental_insights/environmental_insights_data/air_pollution/uk_complete_set/.gitkeep diff --git a/environmental_insights_data/air_pollution/uk_complete_set/2018-01-01 080000.feather b/environmental_insights/environmental_insights_data/air_pollution/uk_complete_set/2018-01-01 080000.feather similarity index 100% rename from environmental_insights_data/air_pollution/uk_complete_set/2018-01-01 080000.feather rename to environmental_insights/environmental_insights_data/air_pollution/uk_complete_set/2018-01-01 080000.feather diff --git a/environmental_insights_data/air_pollution/uk_complete_set/2018-01-01 090000.feather b/environmental_insights/environmental_insights_data/air_pollution/uk_complete_set/2018-01-01 090000.feather similarity index 100% rename from environmental_insights_data/air_pollution/uk_complete_set/2018-01-01 090000.feather rename to environmental_insights/environmental_insights_data/air_pollution/uk_complete_set/2018-01-01 090000.feather diff --git a/environmental_insights_data/air_pollution/uk_typical_day/.gitkeep b/environmental_insights/environmental_insights_data/air_pollution/uk_typical_day/.gitkeep similarity index 100% rename from environmental_insights_data/air_pollution/uk_typical_day/.gitkeep rename to environmental_insights/environmental_insights_data/air_pollution/uk_typical_day/.gitkeep diff --git a/environmental_insights_data/feature_vector/uk_typical_day/.gitkeep b/environmental_insights/environmental_insights_data/feature_vector/uk_typical_day/.gitkeep similarity index 100% rename from environmental_insights_data/feature_vector/uk_typical_day/.gitkeep rename to environmental_insights/environmental_insights_data/feature_vector/uk_typical_day/.gitkeep diff --git a/environmental_insights_data/supporting_data/.gitkeep b/environmental_insights/environmental_insights_data/supporting_data/.gitkeep similarity index 100% rename from environmental_insights_data/supporting_data/.gitkeep rename to environmental_insights/environmental_insights_data/supporting_data/.gitkeep diff --git a/environmental_insights_data/supporting_data/025latlong_world_grids.gpkg b/environmental_insights/environmental_insights_data/supporting_data/025latlong_world_grids.gpkg similarity index 100% rename from environmental_insights_data/supporting_data/025latlong_world_grids.gpkg rename to environmental_insights/environmental_insights_data/supporting_data/025latlong_world_grids.gpkg diff --git a/environmental_insights_data/supporting_data/1km_uk_grids.gpkg b/environmental_insights/environmental_insights_data/supporting_data/1km_uk_grids.gpkg similarity index 100% rename from environmental_insights_data/supporting_data/1km_uk_grids.gpkg rename to environmental_insights/environmental_insights_data/supporting_data/1km_uk_grids.gpkg diff --git a/environmental_insights_models/global/.gitkeep b/environmental_insights/environmental_insights_models/global/.gitkeep similarity index 100% rename from environmental_insights_models/global/.gitkeep rename to environmental_insights/environmental_insights_models/global/.gitkeep diff --git a/environmental_insights_models/uk/.gitkeep b/environmental_insights/environmental_insights_models/uk/.gitkeep similarity index 100% rename from environmental_insights_models/uk/.gitkeep rename to environmental_insights/environmental_insights_models/uk/.gitkeep diff --git a/models.py b/environmental_insights/models.py similarity index 96% rename from models.py rename to environmental_insights/models.py index 2f0b560..f16c897 100644 --- a/models.py +++ b/environmental_insights/models.py @@ -1,7 +1,7 @@ import pickle import os import pandas as pd -import variables +from . import variables import numpy as np diff --git a/tutorial_environmental_insights.ipynb b/environmental_insights/tutorial_environmental_insights.ipynb similarity index 100% rename from tutorial_environmental_insights.ipynb rename to environmental_insights/tutorial_environmental_insights.ipynb diff --git a/variables.py b/environmental_insights/variables.py similarity index 100% rename from variables.py rename to environmental_insights/variables.py diff --git a/environmental_insights_visulisations/.gitkeep b/environmental_insights_visulisations/.gitkeep deleted file mode 100644 index e69de29..0000000 diff --git a/meta.yaml b/meta.yaml new file mode 100644 index 0000000..7f2c784 --- /dev/null +++ b/meta.yaml @@ -0,0 +1,48 @@ +package: + name: environmental-insights + version: 0.1.0-beta + +source: + # If hosted on GitHub + git_url: https://github.com/berrli/Environmental-Insights.git + git_tag: v0.1.0-beta # or use a specific commit SHA + +build: + noarch: python + script: {{ PYTHON }} -m pip install . + +requirements: + host: + - python >=3.6 + - pip + + run: + - python >=3.6 + - lightgbm ==3.3.3 + - geopandas ==0.14.1 + - pandas ==2.1.3 + - scipy ==1.11.4 + - matplotlib ==3.8.2 + - overpy ==0.6 + - shapely ==2.0.2 + - pyarrow ==14.0.1 + - pyogrio ==0.7.2 + +test: + imports: + - environmental_insights + + commands: + - insights --help + +about: + home: https://github.com/berrli/Environmental-Insights + license: GPL-3.0 + license_family: GPL + summary: A Python package for democratizing access to ambient air pollution data and predictive analytics. + description: | + Environmental Insights provides tools to access and analyze ambient air pollution data, enabling predictive analytics and insights into environmental impacts. + +extra: + recipe-maintainers: + - berrli diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..2ba066f --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,54 @@ +[build-system] +requires = ["setuptools>=42", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "environmental-insights" +version = "0.1.0-beta" +description = "A Python package for democratizing access to ambient air pollution data and predictive analytics." +readme = "README.md" +requires-python = ">=3.6" +license = {text = "GNU General Public License v3 (GPLv3)"} + +authors = [ + {name = "Liam J. Berrisford", email = "l.berrisford@exeter.ac.uk"} +] + +classifiers = [ + "Programming Language :: Python :: 3", + "License :: OSI Approved :: GNU General Public License v3 (GPLv3)", + "Operating System :: OS Independent" +] + +keywords = ["air pollution", "data analysis", "environmental insights"] + +urls = { "Homepage" = "https://github.com/berrli/Environmental-Insights" } + +dependencies = [ + "lightgbm==3.3.3", + "geopandas==0.14.1", + "pandas==2.1.3", + "scipy==1.11.4", + "matplotlib==3.8.2", + "overpy==0.6", + "shapely==2.0.2", + "pyarrow==14.0.1", + "pyogrio==0.7.2" +] + +[project.optional-dependencies] +dev = [ + "pytest==8.3.2", + "black==23.9.1", + "nbformat>=5.0" +] + +[project.scripts] +insights = "environmental_insights.main:main" + +[tool.setuptools] +include-package-data = true + +[tool.setuptools.packages.find] +where = ["environmental_insights"] +include = ["*"] diff --git a/temp_downloads/.DS_Store b/temp_downloads/.DS_Store deleted file mode 100644 index 5008ddf..0000000 Binary files a/temp_downloads/.DS_Store and /dev/null differ diff --git a/tests/test_air_pollution_functions.py b/tests/test_air_pollution_functions.py index 47b5a6b..27d6635 100644 --- a/tests/test_air_pollution_functions.py +++ b/tests/test_air_pollution_functions.py @@ -1,8 +1,6 @@ import unittest import sys - -sys.path.append("../") # Adds higher directory to python modules path. -sys.path.append("./") # Adds higher directory to python modules path. +sys.path.append("../environmental_insights/") # Adds higher directory to python modules path. import air_pollution_functions as ei_air_pollution_functions import data as ei_data diff --git a/tests/test_data.py b/tests/test_data.py index 416d2d9..8a7def4 100644 --- a/tests/test_data.py +++ b/tests/test_data.py @@ -1,8 +1,7 @@ import unittest import sys -sys.path.append("../") # Adds higher directory to python modules path. -sys.path.append("./") # Adds higher directory to python modules path. +sys.path.append("../environmental_insights/") # Adds higher directory to python modules path. import air_pollution_functions as ei_air_pollution_functions import data as ei_data diff --git a/tests/test_models.py b/tests/test_models.py index 1e15001..167c136 100644 --- a/tests/test_models.py +++ b/tests/test_models.py @@ -1,8 +1,7 @@ import unittest import sys -sys.path.append("../") # Adds higher directory to python modules path. -sys.path.append("./") # Adds higher directory to python modules path. +sys.path.append("../environmental_insights/") # Adds higher directory to python modules path. import air_pollution_functions as ei_air_pollution_functions import data as ei_data import models as ei_models