Spatial R

Sep-20 : In this lesson, we will gain familiarity with spatial R.

Tutorial

• Video Tutorial Orientation to Reproducible Geographic Research with Github and R
  • normalized audio levels
  • non-normalized audio levels
• R for Geospatial Processing workshop presented by Nicolas Roelandt in Bucharest, Romania. Here’s the repository
  • Disregard the cartography package and section 5.5 of the workshop. We can do everything we need to do with tmap. If you’re interested in the more advanced print cartography package for R, you can try cartography’s successor: mapsf https://riatelab.github.io/mapsf/

Software

• Base R: R project for statistical computing
• RStudio: posit downloads
• GitHub: Desktop Application

Essential packages

• groundhog for reproducible computational environments (consistent versions of R and its packages)
• here for reproducible path names
• tidyverse includes dplyr for database-style data frames
• sf provides support for spatial vector data implementing the OSGeo simple features standards we are accustomed to
• stars spatial-temporal raster data in R
• tmap thematic maps, including static maps or interactive leaflet maps

Alternative packages

• sp alternative package for spatial vector data
• raster alternative raster data package
• mapsf alternative for static map cartography mapsf presentation slides with vignettes

Other Tutorial Resources

• R Markdown Code Chunks
• Geocomputation with R
• Spatial Data Science
• Introduction to R for Geospatial Data
• Introduction to Geospatial Raster and Vector Data with R

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