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A list of useful resources for getting started with spatial data in R
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A list of useful resources for getting started with spatial data in R. Feel free to contribute through a pull request or issue!

General R Resources:

For those interested in further tutorials or resources for spatial data analysis and R more generally, please refer to:

General R-Spatial

Packages for mapping in R

People to follow

Some Resources for Movement Ecology

  • Movement Ecology in R workshop given at Hong Kong University in January 2018, is a brief overview walking students from R basics through home range analysis, analyzing GPS movement data, to spatial simulation in R.

Some Resources for Kriging

Color palettes for maps

  • ColorBrewer site and R package
  • Wes Anderson R package GitHub page
  • Comprehensive list of color palettes available in R
  • Viridis palettes
  • colorspace: Carries out mapping between assorted color spaces including RGB, HSV, HLS, CIEXYZ, CIELUV, HCL (polar CIELUV), CIELAB and polar CIELAB. Qualitative, sequential, and diverging color palettes based on HCL colors are provided along with an interactive palette picker (with either a Tcl/Tkor a shiny GUI).

Designing maps in R

Data sources

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