From c24f708e737a7179efeaaf90f5734917d45baf38 Mon Sep 17 00:00:00 2001 From: Luis Cunha Date: Wed, 10 Aug 2022 09:26:09 -0300 Subject: [PATCH] v0.1.3 --- DESCRIPTION | 17 +-- NEWS.md | 4 + R/gridbr_crs.R | 5 +- R/gridbr_download.R | 10 +- R/gridbr_make.R | 8 +- R/gridbr_urban.R | 2 +- README.Rmd | 74 ++++++++--- README.md | 149 ++++++++++++++++------ man/figures/README-unnamed-chunk-15-1.png | Bin 0 -> 230517 bytes man/figures/README-unnamed-chunk-5-1.png | Bin 0 -> 22786 bytes man/figures/README-unnamed-chunk-8-1.png | Bin 0 -> 54352 bytes man/gridbr_crs.Rd | 6 +- man/gridbr_download.Rd | 10 +- man/gridbr_make.Rd | 8 +- man/gridbr_urban.Rd | 4 +- 15 files changed, 209 insertions(+), 88 deletions(-) create mode 100644 man/figures/README-unnamed-chunk-15-1.png create mode 100644 man/figures/README-unnamed-chunk-5-1.png create mode 100644 man/figures/README-unnamed-chunk-8-1.png diff --git a/DESCRIPTION b/DESCRIPTION index cc5595e..0df174e 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,19 +1,20 @@ -Package: gridbr Type: Package -Title: IBGE statistical grid access with R -Version: 0.1.2 +Package: gridbr +Title: easy access to the Brazilian statistical grid with R +Version: 0.1.3 Author: Luis Cunha Maintainer: Luis Cunha -Description: Make IBGE statistical grid and retrieve population census data. +Description: Make Brazilian statistical grid and access 2010 population + census data. License: CC0 -Encoding: UTF-8 -LazyData: true -LazyDataCompression: xz +URL: http://lucunha.com/gridbr/ Depends: R (>= 2.10) Imports: sf Suggests: gridbr.data +Encoding: UTF-8 +LazyData: true +LazyDataCompression: xz RoxygenNote: 7.2.1 -URL: http://lucunha.com/gridbr/ diff --git a/NEWS.md b/NEWS.md index 81af90c..5516e55 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,5 +1,9 @@ # gridbr +# gridbr v0.1.3 (2022-08-10) + +* Updated README and documentation + # gridbr v0.1.2 (2022-07-25) * Fixed 'gridbr_make' function id diff --git a/R/gridbr_crs.R b/R/gridbr_crs.R index 37fd62e..e565161 100644 --- a/R/gridbr_crs.R +++ b/R/gridbr_crs.R @@ -1,4 +1,7 @@ -#' IBGE statistical grid CRS (with equal area projection) +#' Brazilian statistical grid original CRS (with equal area projection). #' #' @docType data +#' @keywords datasets +#' @name gridbr_crs +#' @usage data(gridbr_crs) "gridbr_crs" diff --git a/R/gridbr_download.R b/R/gridbr_download.R index 5c160fa..ecc9237 100644 --- a/R/gridbr_download.R +++ b/R/gridbr_download.R @@ -1,11 +1,11 @@ -#' Download IBGE statistical grid with population census data. +#' Download Brazilian statistical grid with population census data. #' -#' Make IBGE statistical grid covering (\code{input}) and merge with population census data. +#' Make Brazilian statistical grid covering (\code{input}) with 2010 population census data. #' @param input object of class sf, sfc or sfg. -#' @param cellsize target cell size. Must be one of: "500KM", "100KM", "50KM", "10KM", "5KM", "1KM" and "200M". -#' @param census_data logical. Set to FALSE if you don't want to include population census data. +#' @param cellsize character. Target cell size. Must be one of: "500KM", "100KM", "50KM", "10KM", "5KM", "1KM" and "200M". +#' @param census_data logical. Set to FALSE if you don't want to include 2010 population census data. #' @param equal_area logical. Set to TRUE if you want to use the original grid CRS, with an equal area projection. -#' @return IBGE statistical grid +#' @return Brazilian statistical grid #' @export gridbr_download <- function(input, cellsize, census_data = TRUE, equal_area = FALSE) { diff --git a/R/gridbr_make.R b/R/gridbr_make.R index f58c8b3..59d80ad 100644 --- a/R/gridbr_make.R +++ b/R/gridbr_make.R @@ -1,10 +1,10 @@ -#' Make standardized square grid. +#' Make Brazilian statistical grid. #' -#' Make standardized square grid covering (\code{input}). +#' Make Brazilian statistical grid covering (\code{input}). #' @param input object of class sf, sfc or sfg. -#' @param cellsize integer, in meters. Target cell size must be greater than 1. +#' @param cellsize integer. Target cell size (in meters). Must be greater than 1. #' @param equal_area logical. Set to TRUE if you want to use the original grid CRS, with an equal area projection. -#' @return standardized square grid +#' @return Brazilian statistical grid #' @export gridbr_make <- function(input, cellsize, equal_area = FALSE) { diff --git a/R/gridbr_urban.R b/R/gridbr_urban.R index 216cd5e..19e6362 100644 --- a/R/gridbr_urban.R +++ b/R/gridbr_urban.R @@ -1,4 +1,4 @@ -#' A character vector with the id of IBGE statistical grid urban cells ("200M" cell size). +#' A character vector with the id of Brazilian statistical grid urban cells ("200M" cell size). #' #' @docType data #' @keywords datasets diff --git a/README.Rmd b/README.Rmd index ad0b67f..4973cc0 100644 --- a/README.Rmd +++ b/README.Rmd @@ -13,13 +13,13 @@ knitr::opts_chunk$set( ) ``` -# gridbr: IBGE statistical grid access with R +# gridbr: easy access to the Brazilian statistical grid with R [![R-CMD-check](https://github.com/luisfelipebr/gridbr/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/luisfelipebr/gridbr/actions/workflows/R-CMD-check.yaml) -**The goal of 'gridbr' is to provide easy access to [IBGE Statistical Grid](https://mapasinterativos.ibge.gov.br/grade/default.html)** (download available [here](https://geoftp.ibge.gov.br/recortes_para_fins_estatisticos/grade_estatistica/censo_2010/)). It builds upon the development made in the project [IBGE Statistical Grid in Compact Representation](https://github.com/osm-codes/BR_IBGE) (short paper available [here](http://mtc-m16c.sid.inpe.br/ibi/8JMKD3MGPDW34P/45U7J5H)). +**The goal of 'gridbr' is to provide easy access to the [Brazilian Statistical Grid](https://mapasinterativos.ibge.gov.br/grade/default.html)**, published by the Brazilian Institute of Geography and Statistics (IBGE). It builds upon the development made in the project [IBGE Statistical Grid in Compact Representation](https://github.com/osm-codes/BR_IBGE). ## Installation @@ -29,18 +29,18 @@ You can install the development version of *gridbr* from this GitHub repository devtools::install_github("luisfelipebr/gridbr") ``` -## Example +## Usage -```{r setup, message=FALSE} +### Setup + +```{r} library(gridbr) -library(sf) ``` -**gridbr_download** is the main function available in the package. It builds the geometry of IBGE statistical grid and merge it with 2010 population census data. The user must provide the area of interest (aoi) as a geospatial [sf](https://r-spatial.github.io/sf/index.html) object. - -In the following example, the Brazilian archipelago [Fernando de Noronha](https://en.wikipedia.org/wiki/Fernando_de_Noronha) is used as aoi. It can be download in one line with the package [geobr](https://ipeagit.github.io/geobr/) just by using its IBGE municipality code. +In the following examples, the Brazilian archipelago [Fernando de Noronha](https://en.wikipedia.org/wiki/Fernando_de_Noronha) is used as aoi. It can be download with the package [geobr](https://ipeagit.github.io/geobr/) by using its municipality code. ```{r} +library(sf) library(geobr) ``` @@ -48,11 +48,15 @@ library(geobr) aoi <- read_municipality(2605459, showProgress = FALSE) ``` -```{r aoi} +```{r} plot(st_geometry(aoi)) ``` -After loading the aoi, you can use the function `gridbr_download` to download the grid. Two arguments are mandatory: `input` and `cellsize`. +### gridbr_download(input, cellsize) + +**`gridbr_download()`** is the main function available in the package. It builds the original statistical grid published by IBGE and merge it with downloaded 2010 population census data. The user must provide the area of interest (aoi) as a geospatial [sf](https://r-spatial.github.io/sf/index.html) object. + +Two arguments are mandatory: `input` and `cellsize`. ```{r} aoi_grid <- gridbr_download(input = aoi, @@ -63,17 +67,19 @@ aoi_grid <- gridbr_download(input = aoi, head(aoi_grid) ``` -```{r grid} -plot(st_geometry(aoi_grid)) -plot(st_geometry(aoi), add = TRUE, border = "red") +```{r} +plot(st_geometry(aoi)) +plot(st_geometry(aoi_grid), add = TRUE, border = "red") ``` -The IBGE statistical grid was made available in the following sizes: 500KM, 100KM, 50KM, 10KM, 5KM, 1KM and 200M. Using a different value will result in an error. +The original Brazilian statistical grid was made available at the following cell sizes: '500KM', '100KM', '50KM', '10KM', '5KM', '1KM' and '200M'. Using a different cell size value will result in an error. The '200M' cell size grid covers only urban areas and is complemented by cells with '1KM' cell size. If you want to build a grid with '200M' cell size covering the entire area of interest (and without population census data), you can use the function `gridbr_make()`. + +Retrieving population census data requires either an internet connection or the support package [gridbr.data](https://github.com/luisfelipebr/gridbr.data). If the user does not meet these requirements, the output will include only the cell's id and geometry, but not population census data. -Retrieving population census data requires either an internet connection or the support package [gridbr.data](https://github.com/luisfelipebr/gridbr.data). If the user does not meet these requirements, the output will include only the cell's id and geometry, but not population census data. If the user meet the requirements and still don't want to download the data, they can specify it by setting the `census_data` parameter to FALSE. +If the user meet the requirements to retrieve population census data but don't want to include it, they can specify it by setting the optional `census_data` parameter to FALSE. ```{r} -aoi_grid <- gridbr_download(aoi, +aoi_grid <- gridbr_download(input = aoi, cellsize = "1KM", census_data = FALSE) ``` @@ -82,10 +88,10 @@ aoi_grid <- gridbr_download(aoi, head(aoi_grid) ``` -The other optional parameter is related to the projection: by default, the output will have the same CRS as the input. If you want to keep the original grid CRS, with an equal area projection, you must set the `equal_area` parameter to TRUE. +There is another optional parameter related to the projection: by default, the output will use the same CRS as the input. If you want to keep the original grid CRS, with an equal area projection, you must set the `equal_area` parameter to TRUE. ```{r} -aoi_grid <- gridbr_download(aoi, +aoi_grid <- gridbr_download(input = aoi, cellsize = "1KM", equal_area = TRUE) ``` @@ -93,3 +99,35 @@ aoi_grid <- gridbr_download(aoi, ```{r} head(aoi_grid) ``` + +### gridbr_make(input, cellsize) + +**`gridbr_make()`** allows the user to make a standardized statistical grid using any cell size (without population census data). An input geospatial sf object and the cell size (in meters) must be specified. + +```{r} +aoi_grid <- gridbr_make(input = aoi, + cellsize = 100) +``` + +```{r} +head(aoi_grid) +``` + +```{r} +plot(st_geometry(aoi)) +plot(st_geometry(aoi_grid), add = TRUE, border = "red") +``` + +An alternative unique identifier **gid** and the cell's geometry are included in the output. If the cell size is contained in the original statistical grid pool (500000, 100000, 50000, 10000, 5000, 1000, 200), the original **id** is also included in the output. + +There is an optional parameter related to the projection: by default, the output will use the same CRS as the input. If you want to keep the original grid CRS, with an equal area projection, you must set the `equal_area` parameter to TRUE. + +```{r} +aoi_grid <- gridbr_make(input = aoi, + cellsize = 100, + equal_area = TRUE) +``` + +```{r} +head(aoi_grid) +``` diff --git a/README.md b/README.md index 8609fcc..3332777 100644 --- a/README.md +++ b/README.md @@ -1,21 +1,19 @@ -# gridbr: IBGE statistical grid access with R +# gridbr: easy access to the Brazilian statistical grid with R [![R-CMD-check](https://github.com/luisfelipebr/gridbr/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/luisfelipebr/gridbr/actions/workflows/R-CMD-check.yaml) -**The goal of ‘gridbr’ is to provide easy access to [IBGE Statistical -Grid](https://mapasinterativos.ibge.gov.br/grade/default.html)** -(download available -[here](https://geoftp.ibge.gov.br/recortes_para_fins_estatisticos/grade_estatistica/censo_2010/)). +**The goal of ‘gridbr’ is to provide easy access to the [Brazilian +Statistical +Grid](https://mapasinterativos.ibge.gov.br/grade/default.html)**, +published by the Brazilian Institute of Geography and Statistics (IBGE). It builds upon the development made in the project [IBGE Statistical -Grid in Compact Representation](https://github.com/osm-codes/BR_IBGE) -(short paper available -[here](http://mtc-m16c.sid.inpe.br/ibi/8JMKD3MGPDW34P/45U7J5H)). +Grid in Compact Representation](https://github.com/osm-codes/BR_IBGE). ## Installation @@ -26,25 +24,23 @@ repository with `devtools`: devtools::install_github("luisfelipebr/gridbr") ``` -## Example +## Usage + +### Setup ``` r library(gridbr) -library(sf) ``` -**gridbr_download** is the main function available in the package. It -builds the geometry of IBGE statistical grid and merge it with 2010 -population census data. The user must provide the area of interest (aoi) -as a geospatial [sf](https://r-spatial.github.io/sf/index.html) object. - -In the following example, the Brazilian archipelago [Fernando de +In the following examples, the Brazilian archipelago [Fernando de Noronha](https://en.wikipedia.org/wiki/Fernando_de_Noronha) is used as -aoi. It can be download in one line with the package -[geobr](https://ipeagit.github.io/geobr/) just by using its IBGE -municipality code. +aoi. It can be download with the package +[geobr](https://ipeagit.github.io/geobr/) by using its municipality +code. ``` r +library(sf) +#> Linking to GEOS 3.9.1, GDAL 3.4.2, PROJ 8.2.1; sf_use_s2() is TRUE library(geobr) ``` @@ -56,10 +52,17 @@ aoi <- read_municipality(2605459, showProgress = FALSE) plot(st_geometry(aoi)) ``` - + + +### gridbr_download(input, cellsize) + +**`gridbr_download()`** is the main function available in the package. +It builds the original statistical grid published by IBGE and merge it +with downloaded 2010 population census data. The user must provide the +area of interest (aoi) as a geospatial +[sf](https://r-spatial.github.io/sf/index.html) object. -After loading the aoi, you can use the function `gridbr_download` to -download the grid. Two arguments are mandatory: `input` and `cellsize`. +Two arguments are mandatory: `input` and `cellsize`. ``` r aoi_grid <- gridbr_download(input = aoi, @@ -83,26 +86,32 @@ head(aoi_grid) ``` ``` r -plot(st_geometry(aoi_grid)) -plot(st_geometry(aoi), add = TRUE, border = "red") +plot(st_geometry(aoi)) +plot(st_geometry(aoi_grid), add = TRUE, border = "red") ``` - + -The IBGE statistical grid was made available in the following sizes: -500KM, 100KM, 50KM, 10KM, 5KM, 1KM and 200M. Using a different value -will result in an error. +The original Brazilian statistical grid was made available at the +following cell sizes: ‘500KM’, ‘100KM’, ‘50KM’, ‘10KM’, ‘5KM’, ‘1KM’ and +‘200M’. Using a different cell size value will result in an error. The +‘200M’ cell size grid covers only urban areas and is complemented by +cells with ‘1KM’ cell size. If you want to build a grid with ‘200M’ cell +size covering the entire area of interest (and without population census +data), you can use the function `gridbr_make()`. Retrieving population census data requires either an internet connection or the support package [gridbr.data](https://github.com/luisfelipebr/gridbr.data). If the user does not meet these requirements, the output will include only the -cell’s id and geometry, but not population census data. If the user meet -the requirements and still don’t want to download the data, they can -specify it by setting the `census_data` parameter to FALSE. +cell’s id and geometry, but not population census data. + +If the user meet the requirements to retrieve population census data but +don’t want to include it, they can specify it by setting the optional +`census_data` parameter to FALSE. ``` r -aoi_grid <- gridbr_download(aoi, +aoi_grid <- gridbr_download(input = aoi, cellsize = "1KM", census_data = FALSE) ``` @@ -123,13 +132,13 @@ head(aoi_grid) #> 6 1KME7381N10816 POLYGON ((-32.43194 -3.8873... ``` -The other optional parameter is related to the projection: by default, -the output will have the same CRS as the input. If you want to keep the -original grid CRS, with an equal area projection, you must set the -`equal_area` parameter to TRUE. +There is another optional parameter related to the projection: by +default, the output will use the same CRS as the input. If you want to +keep the original grid CRS, with an equal area projection, you must set +the `equal_area` parameter to TRUE. ``` r -aoi_grid <- gridbr_download(aoi, +aoi_grid <- gridbr_download(input = aoi, cellsize = "1KM", equal_area = TRUE) ``` @@ -149,3 +158,69 @@ head(aoi_grid) #> 5 1KME7376N10820 0 0 0 0 POLYGON ((7376000 10820000,... #> 6 1KME7376N10821 0 0 0 0 POLYGON ((7376000 10821000,... ``` + +### gridbr_make(input, cellsize) + +**`gridbr_make()`** allows the user to make a standardized statistical +grid using any cell size (without population census data). An input +geospatial sf object and the cell size (in meters) must be specified. + +``` r +aoi_grid <- gridbr_make(input = aoi, + cellsize = 100) +``` + +``` r +head(aoi_grid) +#> Simple feature collection with 6 features and 1 field +#> Geometry type: POLYGON +#> Dimension: XY +#> Bounding box: xmin: -32.47588 ymin: -3.883487 xmax: -32.4704 ymax: -3.882175 +#> Geodetic CRS: SIRGAS 2000 +#> gid geom +#> 1 100ME7376250N10816850 POLYGON ((-32.47581 -3.8834... +#> 2 100ME7376350N10816850 POLYGON ((-32.47491 -3.8834... +#> 3 100ME7376450N10816850 POLYGON ((-32.47401 -3.8833... +#> 4 100ME7376550N10816850 POLYGON ((-32.4731 -3.88328... +#> 5 100ME7376650N10816850 POLYGON ((-32.4722 -3.88321... +#> 6 100ME7376750N10816850 POLYGON ((-32.4713 -3.88314... +``` + +``` r +plot(st_geometry(aoi)) +plot(st_geometry(aoi_grid), add = TRUE, border = "red") +``` + + + +An alternative unique identifier **gid** and the cell’s geometry are +included in the output. If the cell size is contained in the original +statistical grid pool (500000, 100000, 50000, 10000, 5000, 1000, 200), +the original **id** is also included in the output. + +There is an optional parameter related to the projection: by default, +the output will use the same CRS as the input. If you want to keep the +original grid CRS, with an equal area projection, you must set the +`equal_area` parameter to TRUE. + +``` r +aoi_grid <- gridbr_make(input = aoi, + cellsize = 100, + equal_area = TRUE) +``` + +``` r +head(aoi_grid) +#> Simple feature collection with 6 features and 1 field +#> Geometry type: POLYGON +#> Dimension: XY +#> Bounding box: xmin: 7376200 ymin: 10816800 xmax: 7376800 ymax: 10816900 +#> CRS: +proj=aea +lat_0=-12 +lon_0=-54 +lat_1=-2 +lat_2=-22 +x_0=5000000 +y_0=10000000 +ellps=GRS80 +units=m +no_defs +#> gid geom +#> 1 100ME7376250N10816850 POLYGON ((7376200 10816800,... +#> 2 100ME7376350N10816850 POLYGON ((7376300 10816800,... +#> 3 100ME7376450N10816850 POLYGON ((7376400 10816800,... +#> 4 100ME7376550N10816850 POLYGON ((7376500 10816800,... +#> 5 100ME7376650N10816850 POLYGON ((7376600 10816800,... +#> 6 100ME7376750N10816850 POLYGON ((7376700 10816800,... +``` diff --git a/man/figures/README-unnamed-chunk-15-1.png 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