afrimapr/afrilearndata

small african spatial datasets for learning & teaching mapping in R # afrilearndata afrilearndata provides small African spatial datasets to help with learning and teaching of spatial techniques and mapping. The motivation is to provide analysts based in Africa with more easily relateable example datasets. More generally we aim to support the growth of R and mapping in the continent. Part of the afrimapr project providing R building blocks, training and community. ## Installation Install the development version of afrilearndata with: ``` r # install.packages("remotes") # if not already installed remotes::install_github("afrimapr/afrilearndata") library(afrilearndata) ``` ## Datasets The package contains the following objects 1. `africontinent` polygons, continent outline including madagascar 2. `africountries` polygons, 51 country boundaries 3. `afrihighway` lines, trans African highway network (100 lines) 4. `africapitals` points, 51 capital cities 5. `afriairports` points, \>3000 African airports 6. `afripop2020` raster grid, population density 2020 from WorldPop aggregated to 20km squares 7. `afripop2000` raster grid, population density 2000 from WorldPop aggregated to 20km squares 8. `afrilandcover` raster grid, landcover in 2019, categorical, 20km from MODIS Lazy loading means that the objects should be accessible once `library(afrilearndata)` is used. If they are not recognised you can use e.g. `data(africountries)` to make sure the objects are loaded. As well as providing the data as R objects the package provides them as files that can be used to demonstrate the process of reading spatial data into R and the read code is provided in the documentation of each dataset. The different datasets cover the following formats commonly used to store sptial data : geopackage, shapefile, kml, tiff, csv and grd. Firstly, here are most of the data shown together. The `tmap` code to create this plot is shown later in the readme. Now looking at the data layers individually plotted with packages `sf` or `raster` …