Tidy Geospatial Networks in R

The Geospatial Neighborhood Analysis Package

Spatial cross-validation in Python.

Automated Valuation Machine Learning Model for Lima House Pricing

AISdb Python package for smart AIS data storage and interaction.

Spatially-Encouraged Spectral Clustering, a method of discovering clusters/deriving labels for spatially-referenced data with attribute/labels attached.

Repository for the website of the book (github hosting support)

Spatial Data Science Complementary Features

An R package for handling fuzzy spatial data

LoD1 3D City Model from OpenStreetMap contributions and raster DEM

Python module to access shootings reported in Fogo Cruzado app.

Contains materials to reproduce descriptive statistics and figures from 'Spatial Inequality in the Smart City: The Sensor Desert Quandary" published in Transactions of the Institute of British Geographers.

Detection of spatio temporal hotspots of traffic accidents in Saudi Arabia for the years 2015 to 2018. The data is aggregated nonetheless using Hijri calendar years 1437, 1438, 1439. Each Hijri year consists of 12 months and approx. 355 days.

Analyzing Urban Heat Islands Risk Index

Base teórica de geomática e prática no python de geoprocessamento para geospatial data science. Página em construção.

Materials for the Introduction to Spatial Data Science and Machine Learning workshops and UCL's Urban Design B-Pro programme 2022/2023

AISdb Python package (server-side) for smart AIS data storage and interaction.

01.12.18 - Notebook provides basic introduction to spatial data science in python for UMN Day of Data 2018

We will try to bring up the information related to the spatial data science together in this page. Please add the details so as to bring up the related topics in single place.

This repository contains exploratory spatial data analysis (ESDA) functions and scripts. These functions are designed for geothermal spatial datasets, and are applicable to other spatial datasets.