The goal of spatialsample is to provide functions and classes for spatial resampling to use with rsample. Learn more here.
Archive: R
- tidyterra is an R package that adds common methods from the tidyverse for SpatRaster and SpatVectors objects created with the terra package.
- The sf R package provides a set of tools for working with geospatial vectors, i.e. points, lines, polygons, etc. Here is a cheat sheet guiding you in using sf.
- tmap is an open-source R package for drawing thematic maps. The API is based on A Layered Grammar of Graphics and resembles the syntax of ggplot2, a popular R package for drawing charts.
- This article will use WorldPop's population density dataset and walk through how to to map population density with R using data for Djibouti as an example.
- Check out these courses on geography, statistics, QGIS, and working with geospatial data in R/Python. These resources could be useful for anyone who integrates geography and statistics.
- ggplot2 is an R package dedicated to data visualization. Here is a cheat sheet guiding you in using ggplot2 for data visualization.
- The ggplot2 R package does not natively support plotting raster data. This article presents a custom method for plotting RGB satellite imagery with ggplot2.
- Read here about the motivations for using Apache Arrow in geospatial and how it can make geospatial computing faster for everybody.
- The mapsf R package helps to design various cartographic representations such as proportional symbols, choropleth or typology maps. Here is a cheat sheet guiding you in using mapsf.
