Honored and excited to be part of useR! 2026

I will give a keynote on geocomputation and spatial data science in R.

📅 6–9 Jul 2026, Warsaw, Poland
🔗 https://user2026.r-project.org/

Let’s make this event spatial!

#useR2026 #RStats #RSpatial #Geocompr

📚 I have a few misprinted (black and white) hardcovers of Geocomputation with R.

Happy to send them to readers in Europe.

Email me if you’d like one — if there’s lots of interest, I’ll draw randomly. Shipping costs optional.

#Gischat #Giveaway #RStats #RSpatial #geocompr

Do you want to see your image on the cover of the second edition of
Geocomputation with R?

There are few days left on the book cover competition!

Learn more: https://buff.ly/3sUL3H9

#rstats #rspatial #geocompr

geocompx - Geocomputation with R comptetition: book cover for the 2nd edition

geocompx - Geocomputation with R comptetition: book cover for the 2nd edition

Do you want to see your image on the cover of the second edition of Geocomputation with R?

We just started a book cover competition!

Learn more: https://geocompx.org/post/2023/map-cover-competition/

#rstats #rspatial #geocompr
geocompx - Geocomputation with R comptetition: book cover for the 2nd edition

‼️Geocomputation with R, ed.2: progress report‼️

The Ecology chapter we demonstrates ecological applications of spatial machine learning and GIS-R bridges.
Want to learn more about applied geocomputation (for #ecology), visit https://geocompr.robinlovelace.net/eco.html.

#rstats #rspatial #geocompr

Chapter 15 Ecology | Geocomputation with R

Prerequisites This chapter assumes you have a strong grasp of geographic data analysis and processing, covered in Chapters 2 to 5. In it you will also make use of R’s interfaces to dedicated GIS...

‼️Geocomputation with R, ed.2: progress report‼️

Want to learn more about the analysis of transport systems at different geographic levels, visit https://geocompr.robinlovelace.net/transport.html.

It uses {stplanr}, {sfnetworks}, {sf}, {tmap}, {dplyr}, and more...

#rstats #rspatial #geocompr

Chapter 13 Transportation | Geocomputation with R

Prerequisites This chapter uses the following packages:85 library(sf) library(dplyr) library(spDataLarge) library(stplanr) # for processing geographic transport data library(tmap) # map...

30 Day Map Challenge 2022 | Nicola Rennie

The #30DayMapChallenge is a month-long mapping, cartography, and data visualization challenge aimed at the spatial community. Here are the things I've learnt from participating in the challenge for a second time.

Nicola Rennie

‼️Geocomputation with R, ed.2: progress report‼️

The Statistical Learning chapter is now based on the {mlr3} packages' framework.

Want to learn more about a (spatial) prediction of landslides, visit https://geocompr.robinlovelace.net/spatial-cv.html.

#rstats #rspatial #geocompr

Chapter 12 Statistical learning | Geocomputation with R

Prerequisites This chapter assumes proficiency with geographic data analysis, for example gained by studying the contents and working-through the exercises in Chapters 2 to 7. A familiarity with...

RT @jakub_nowosad: Inset maps enable multiple places to be shown in the same geographic data visualization. They can be easily created in #rstats using the #ggplot2 package. You can read how to make them in a blog post at https://geocompr.github.io/post/2019/ggplot2-inset-maps/. #geocompr #viz #rspatial

https://twitter.com/jakub_nowosad/status/1203668208022151169

Inset maps with ggplot2