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Spatial and Spatiotemporal Classes and Methods in R

Category
Duration Time 1 week
Level begin

Several R packages exists that allows loading spatial and spatiotemporal data and which provide structures, validity control and functions. One of the packages with the highest number of dependencies is the sp package. Vector data is increasingly managed using the sf package, and raster data can be imported using the raster and rgdal packages.

This block course collects number of lectures and examples on what are the most used and most recommended Spatial Classes in R, how to organize spatial data. All lessons are based on the three standard books:

  • Bivand, R. S., Pebesma, E. J., Gomez-Rubio, V., & Pebesma, E. J. (2013). Applied spatial data analysis with R (Vol. 747248717). New York: Springer.
  • Lovelace, R., Nowosad, J., & Muenchow, J. (2018). Geocomputation with R. https://geocompr.robinlovelace.net/
  • Hijmans, R. J., & van Etten, J. (2014). raster: Geographic data analysis and modeling. R package, https://cran.r-project.org/package=raster

Some additional examples can be followed from:

 

Course Features
30 hours of self-study
6 case studies
Real world examples from various packages
Gallery of plots