Edzer Pebesma

sdsr. Spatial Data Science: With Applications in R (source files)

sp. Classes and methods for spatial data (deprecated)

spacetime. Classes and methods for spatio-temporal data

hexbin. Hexagonal binning routines and plotting methods

UseR2019. R

trajectories. Handling and analyzing trajectory and movement data

sswr. Spatial Statistics with R course materials

sdswr. Spatial Data Science with R, MSc course

UseR2021. slides for UseR2021 presentation

rstudio_conf. R

UseR2017. workshop on Spatial data in R: new directions.

intervals. R package intervals

sdsr_exercises. answers to exercises of "Spatial Data Science"

mstp. Course slides: modelling spatio-temporal processes

sdsl.

UseR2016. UseR! 2016 tutorial on Handling and Analyzing Spatial, Spatiotemporal and Movement Data

sdsc19ws. Spatial Data Science Conference workshop "An Introduction to Spatial Data Science with R"

spnetwork. Spatial networks, using SpatialLines for edges

sf_dep. a package depending on sf

geostat. geostat Bergen slides and material

hertie-school. Summer School teaching materials

astd. Makefile

mss. R package: meaningful spatial statistics

UseR2020. TeX

sdsc19. slides for Spatial Data Science Conference 2019

OGH23. Python

geopython2023. talk materials

winterschool. Makefile

OGH20. R

reprex.sh. shell script to create an R reproducible example

UseR2024. UseR! 2024 slides

OGH22. OpenGeoHub summer school 2022 materials

R_GIS. Bridging R with ArcGIS

ggspatial. A ggplot2 R extension for plotting Spatial* objects

vardiag. An R package for variogram diagnostics

nyc_course. R

LPS22. R

terra. R package for spatial data handling https://rspatial.github.io/terra/reference/terra-package.html

geog-312. Introduction to GIS Programming

spasta25. Spatial Statistics Conference 2025 materials

berlin.

SpatioTemporal. R

MunichRe. On-line material found at https://edzer.github.io/MunichRe/

recipes. System for building static dependent libraries for CRAN packages

egu2023. HTML

openeocubes. A lightweight platform to analyze Earth Observation data cubes in the cloud.

exactextractr. R package for fast and accurate raster zonal statistics