Spatial Data Science in R with Edzer Pebesma

Learn spatial data science  with the author of the sf and sp packages himself, Edzer Pebesma. Edzer is an R user and developer for 20 years, author and maintainer of a number of packages for handling spatial data in R including sf, sp and gstat, and one of the authors of Applied Spatial Data Analysis with R, Second Edition, 2013. He is a member of the R Foundation, and one of the editors for the Journal of Statistical Software. Edzer is full professor at the Institute for Geoinformatics, University of Muenster, Germany.

The purpose of this one-day workshop is to get participants familiar with the different types of spatial data, their handling and representation in R, typical operations on them, and the modeling of spatial data.

Before class everyone should install R, RStudio and the following packages.

• sf
• stars
• sp
• rgdal
• rgeos
• raster
• gstat
• spdep
• spatstat
• tidyverse

Prerequisites: Familiarity with R, curiosity for the story behind maps.

The workshop is broken up into 2 parts.

 Morning: Basics of spatial data, handling spatial data in R

• Spaces, how we measure space, Earth-bound data, coordinate reference systems
• Points, lines, polygons, tesselations, rasters
• Types of spatial data: objects, fields, aggregations
• Standards for spatial data: simple features, coverages
• R spatial: handling vector data with sf
• R spatial: sf and tidyverse
• R spatial: handling spatial data cubes with stars
• Combining different spatial datasets

Afternoon: Analysing and modeling spatial data in R

• Point pattern data: modeling with spatstat
• Geostatistical data: interpolation with gstat
• Lattice (areal) data: modeling with spdep
  

We would like to thank New York-Presbyterian for hosting us at the "board room" at 466 Lexington Avenue, 10th floor.

For more information please contact us.