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Introduction to Reproducible Geospatial Analysis and Figures in R: A Tutorial Article

Author

Listed:
  • Philippe Maesen

    (BEAGx, Faculty of Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium)

  • Edouard Salingros

    (BEAGx, Faculty of Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium)

Abstract

The present article is intended to serve an educational purpose for data scientists and students who already have experience with the R language and which to start using it for geospatial analysis and map creation. The basic concepts of raster data, vector data, CRS and datum are first presented along with a basic workflow to conduct reproducible geospatial research in R. Examples of important types of maps (scatter, bubble, choropleth, hexbin and faceted) created from open-source environmental data are illustrated and their practical implementation in R is discussed. Through these examples, essential manipulations on geospatial vector data are demonstrated (reading, transforming CRS, creating geometries from scratch, buffer zones around existing geometries and intersections between geometries).

Suggested Citation

  • Philippe Maesen & Edouard Salingros, 2024. "Introduction to Reproducible Geospatial Analysis and Figures in R: A Tutorial Article," Data, MDPI, vol. 9(4), pages 1-21, April.
    • Handle: RePEc:gam:jdataj:v:9:y:2024:i:4:p:58-:d:1379505
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