#rspatial

2026-02-01

R Coding for Ecology chapter on cblindplotR 🎨
Shows how to create colourblind-friendly maps and visualizations in R.

doi.org/10.1007/978-3-031-9966

#RStats #DataViz #Accessibility #OpenScience #RSpatial

2026-01-28

Are you interested in modern spatial data analysis and mapping? If you are looking for a way to improve your point-and-click workflow, R programming language is the perfect solution! With these powerful spatial packages, it is possible to handle the entire process in a transparent, reproducible and scalable way.

#rstats #rspatial #gischat

Most essential packages for spatial data science in R programming language.
2026-01-21

🗺️ fastfocal: fast moving-window and point extraction for rasters in R, optimized for large windows and common focal stats via FFT. Built on terra.

cran.r-project.org/package=fas

#RStats #GIScience #RSpatial

2026-01-18

New R Coding for Ecology chapter on measuring landscape patterns with landscapemetrics and motif 📊🌍

doi.org/10.1007/978-3-031-9966
Preprint: doi.org/10.48550/arXiv.2405.06
Code: github.com/Nowosad/landscapeme

#LandscapeEcology #RSpatial #GIS

Timothée Giraudrcarto@fosstodon.org
2026-01-16

"Géomatique et cartographie avec R" has been updated! :rstats: 🗺️ :osm:

rgeocarto.github.io/

- Données vectorielles avec {sf}
(vector data processing)
- Données raster avec {terra}
(raster data processing)
- Cartographie avec {mapsf}
(thematic mapping)
- OpenstreetMap

This manual is in French. A lighter, slightly outdated English version is available here: rcarto.github.io/cartography_w

#gis #gisChat #rstats #rspatial

Géomatique et cartographie avec R
Pour la réalisation de traitements reproductibles de l’information géographique.

Le logiciel R permet depuis longtemps de traiter les données spatiales, plusieurs packages forment un socle permettant la mise en œuvre de ces traitements. Les développements actuels s’appuient sur ce socle et forment un écosystème robuste qui offre aux utilisateurs la plupart des fonctionnalités autrefois réservées aux Systèmes d’Information Géographique, et cela dans un environnement favorable à la reproductibilité des résultats de recherche.

Ce manuel est destiné tant aux utilisateurs de R souhaitant mettre en place des traitements de données spatiales qu’aux utilisateurs souhaitant utiliser R pour réaliser les tâches qu’ils réalisent habituellement avec un SIG.R package logos for osrm and valh packageMap of the Lot department in France. The map has an inset for a municipality in the topleft corner.A map showing roads that intesersect a specific municipality.
2026-01-13

It's time for #TidyTuesday and we're looking at data on languages spoken in Africa! 🌍

Here's a small multiple map with countries where each language is spoken highlighted 📊 (top 10 most widely spoken only)

Code: github.com/nrennie/tidytuesday

#RStats #DataViz #ggplot2 #RSpatial

Small multiple map of Africa. On each map, countries where a specific language is spoken are highlighted for the top 10 most widely spoken languages. Arabic is most spoken with 150 million native speakers.
Rafael H. M. Pereira 🚡 Urban Demographicsurbandemog.bsky.social@bsky.brid.gy
2026-01-12

📢{duckspatial} v0.9.0 is now on CRAN !! 🚀 If you work with big spatial data in #rstats, duckspatial brings the power of @duckdb.org@bsky.brid.gy to spatial analysis in R. It is dozenz - 📦website cidree.github.io/duckspatial/ - Blog post: adrian-cidre.com/posts/014_du... #duckspatial #rspatial #duckdb

2026-01-11

We just published a JOSIS paper on what spatial data science languages have in common and what they still need. Insights from across the R, Python & Julia ecosystems.

URL: doi.org/10.5311/JOSIS.2025.31.

#SpatialDataScience #GISchat #OpenSource #RSpatial #GeoPython #JuliaGeo

Egor Kotov 🌐🏃‍♂️🚊🚋🚙EgorKotov@datasci.social
2026-01-10

#rstats {duckspatial} 0.9 is on CRAN, makes @duckdb 🦆 #spatial 🌍 more user-friendly, enabling faster big data spatial ops in R. Adrián Cidree shared a great breakdown of how we (+ @UrbanDemog ) are doing it:
​📖: cidree.github.io/duckspatial/a
💻: github.com/Cidree/duckspatial
#rspatial

2026-01-10

TFW you finally find the right combination of #gdal levers and the pipeline time goes 2 days to 2 hours 🤓 #rspatial.

2026-01-07

🗺️ In his blog post, David O’Sullivan outlines an approach for dividing New Zealand into four regions with identical population counts.

URL: dosull.github.io/posts/2025-06

#Geospatial #PopulationAnalysis #RSpatial #RStats

2026-01-04

Introducing gdalcli by Andrew Brown -- an R frontend to GDAL’s unified CLI (≥3.11) 🌐

Compose and execute GDAL workflows with pipe-friendly functions.

Learn more: github.com/brownag/gdalcli

#RStats #GDAL #Geospatial #OpenSource #RSpatial

2026-01-04

After I got my PhD and decided that the research/academia ladder was not my cup of tea, I moved to Barcelona to work as research technician, building databases and R code/packages for them. After 9 years, I'm still here, now as Data Scientist, still managing
databases and pipelines, webs, shiny applications and R packages.

3/3

#rstats #rspatial #introduction

Barcelona province map done with isocubes R package
2026-01-04

Shortly after that, I moved to Asturias, close to the Cantabric Sea, where I spend 8 years getting my PhD on Plant Physiology (someday I will be able to talk about PhD students exploitation in the Spanish educative system, even if things are slighty better now).
Here is where my love for linux, open source and R began (goodbye SPSS and Windows, never looked back).

2/n

#rstats #rspatial #introduction

Asturias map done with isocubes R package
2026-01-04

Inspired by @kamapu map for day 16 of #30DayMapChallenge and playing with the amazing {isocubes} by @coolbutuseless I decided to do an spatial introduction.

I'm from León, a province in the NW of Spain. Here is where I was born and raised and where after some time I got my BSc in Biology.

1/n

#rstats #rspatial #introduction

Map of León done with isocubes R package
Darren Wilkinsondarrenjw@mastodon.org.uk
2026-01-01

Some lecture notes on spatial and temporal modelling, illustrated using R - darrenjw.github.io/spatio-temp - #rstats #rspatial #quarto

2026-01-01

Some lecture notes on spatial and temporal modelling, illustrated using R - darrenjw.github.io/spatio-tempo... - #rstats #rspatial #quarto

Spatial and temporal statistic...

2025-12-23

R package gdalraster was updated on CRAN a few days ago and binaries for Windows and macOS are now available. v.2.4.0 is a small feature release since we needed to update URLs for the repo and website. It does add several new wrappers for the GDAL spatial reference API, and a few other enhancements. A full changelog with the new URL is at:

firelab.github.io/gdalraster/n

#Rspatial

2025-12-22

Woot woot! Just seen this shared on pangeo and it looks like ESA's JPEG2000 files are getting TLM markers! This should speed things up a good bit when using CDSE STAC! #rspatial #GDAL

sentinels.copernicus.eu/web/se

2025-12-22

The spcosa package provides an R framework for spatial coverage sampling.

Explore examples at git.wur.nl/Walvo001/spcosa

#Rstats #RSpatial #GIS #SpatialStatistics

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