#rspatial — Public Fediverse posts

Kyle Walker: “Lots of new features landing in R's mapgl package as it approaches an 0.5.0 release. Today's drop:

- An interactive color ramp picker for your legends
- Native bivariate choropleth mapping”

https://walker-data.com/mapgl/articles/map-design.html

#RStats #RSpatial #GIS

David O’Sullivan shows how spatial autocorrelation makes sampling fundamentally important: even when two surfaces contain the same values, their spatial arrangement means different sampling schemes can “see” very different patterns 🗺️

URL: https://geospatialstuff.com/posts/2025/11/14/gia-chapter-2A-spatial-autocorrelation/index.html

#GIS #rspatial #spatialanalysis

David O’Sullivan shows how spatial autocorrelation makes sampling fundamentally important: even when two surfaces contain the same values, their spatial arrangement means different sampling schemes can “see” very different patterns 🗺️

URL: https://geospatialstuff.com/posts/2025/11/14/gia-chapter-2A-spatial-autocorrelation/index.html

#GIS #rspatial #spatialanalysis

David O’Sullivan shows how spatial autocorrelation makes sampling fundamentally important: even when two surfaces contain the same values, their spatial arrangement means different sampling schemes can “see” very different patterns 🗺️

URL: https://geospatialstuff.com/posts/2025/11/14/gia-chapter-2A-spatial-autocorrelation/index.html

#GIS #rspatial #spatialanalysis

David O’Sullivan shows how spatial autocorrelation makes sampling fundamentally important: even when two surfaces contain the same values, their spatial arrangement means different sampling schemes can “see” very different patterns 🗺️

URL: https://geospatialstuff.com/posts/2025/11/14/gia-chapter-2A-spatial-autocorrelation/index.html

#GIS #rspatial #spatialanalysis

David O’Sullivan shows how spatial autocorrelation makes sampling fundamentally important: even when two surfaces contain the same values, their spatial arrangement means different sampling schemes can “see” very different patterns 🗺️

URL: https://geospatialstuff.com/posts/2025/11/14/gia-chapter-2A-spatial-autocorrelation/index.html

#GIS #rspatial #spatialanalysis

The new version of the terra package is now available on CRAN! It includes several notable new features:
- tool for parallelize functions on a raster: `tile_apply()`,
- smooth blending between overlapping rasters: `mosaic(fun = "blend")`,
- hexagonal and rectangular grids: `tessellate()`,
- custom CRS transformation pipelines in `project()`,
- and fixes for many long-standing issues!

Read the full changelog here: https://rspatial.github.io/terra/news/index.html#version-19-24

#rstats #rspatial #gischat

🚨 The working programme for the Earth Observation Summer School: “Data Science for Earth Observation: Hands-on Training in Python, R, and Julia” (17—21 August 2026; Location: Istanbul, Turkey) is now public: https://opengeohub.org/2026/01/29/earth-observation-summer-school-2026/
👇 Do not miss the early-bird registration deadline (22nd May 2026): 🎫 https://pretix.eu/opengeohubfoundation/EOSummerSchool2026/
We are expecting over 120 participants with 18 amazing lecturers covering different topics and coding frameworks. #geopython #openSource #openScience #GeoAI #Rspatial

🚨 The working programme for the Earth Observation Summer School: “Data Science for Earth Observation: Hands-on Training in Python, R, and Julia” (17—21 August 2026; Location: Istanbul, Turkey) is now public: https://opengeohub.org/2026/01/29/earth-observation-summer-school-2026/
👇 Do not miss the early-bird registration deadline (22nd May 2026): 🎫 https://pretix.eu/opengeohubfoundation/EOSummerSchool2026/
We are expecting over 120 participants with 18 amazing lecturers covering different topics and coding frameworks. #geopython #openSource #openScience #GeoAI #Rspatial

🚨 The working programme for the Earth Observation Summer School: “Data Science for Earth Observation: Hands-on Training in Python, R, and Julia” (17—21 August 2026; Location: Istanbul, Turkey) is now public: https://opengeohub.org/2026/01/29/earth-observation-summer-school-2026/
👇 Do not miss the early-bird registration deadline (22nd May 2026): 🎫 https://pretix.eu/opengeohubfoundation/EOSummerSchool2026/
We are expecting over 120 participants with 18 amazing lecturers covering different topics and coding frameworks. #geopython #openSource #openScience #GeoAI #Rspatial

🚨 The working programme for the Earth Observation Summer School: “Data Science for Earth Observation: Hands-on Training in Python, R, and Julia” (17—21 August 2026; Location: Istanbul, Turkey) is now public: https://opengeohub.org/2026/01/29/earth-observation-summer-school-2026/
👇 Do not miss the early-bird registration deadline (22nd May 2026): 🎫 https://pretix.eu/opengeohubfoundation/EOSummerSchool2026/
We are expecting over 120 participants with 18 amazing lecturers covering different topics and coding frameworks. #geopython #openSource #openScience #GeoAI #Rspatial

🚨 The working programme for the Earth Observation Summer School: “Data Science for Earth Observation: Hands-on Training in Python, R, and Julia” (17—21 August 2026; Location: Istanbul, Turkey) is now public: https://opengeohub.org/2026/01/29/earth-observation-summer-school-2026/
👇 Do not miss the early-bird registration deadline (22nd May 2026): 🎫 https://pretix.eu/opengeohubfoundation/EOSummerSchool2026/
We are expecting over 120 participants with 18 amazing lecturers covering different topics and coding frameworks. #geopython #openSource #openScience #GeoAI #Rspatial

R package gdalraster has been updated on CRAN. The package provides comprehensive API bindings to GDAL. v2.6.0 is a feature release with full changelog at:

https://firelab.github.io/gdalraster/news/index.html

#rstats #rspatial #gdal

a5R brings the A5 pentagonal geospatial index to R.

Equal-area pentagonal cells across 31 resolutions, encoded as 64-bit integers, with millimetre-level precision at the finest scale 🗺️

R package by Hugh Graham; a5 by Felix Palmer

https://github.com/belian-earth/a5R

#rstats #rspatial #dggs

Reminder: early registration for useR! 2026 closes 20 April 2026.

Looking forward to sessions across R, data science, and spatial analysis 🌍

Details: https://user2026.r-project.org/

#rstats #rspatial #user2026

Reminder: early registration for useR! 2026 closes 20 April 2026.

Looking forward to sessions across R, data science, and spatial analysis 🌍

Details: https://user2026.r-project.org/

#rstats #rspatial #user2026

Reminder: early registration for useR! 2026 closes 20 April 2026.

Looking forward to sessions across R, data science, and spatial analysis 🌍

Details: https://user2026.r-project.org/

#rstats #rspatial #user2026

Reminder: early registration for useR! 2026 closes 20 April 2026.

Looking forward to sessions across R, data science, and spatial analysis 🌍

Details: https://user2026.r-project.org/

#rstats #rspatial #user2026

Reminder: early registration for useR! 2026 closes 20 April 2026.

Looking forward to sessions across R, data science, and spatial analysis 🌍

Details: https://user2026.r-project.org/

#rstats #rspatial #user2026

New CRAN release of R package gdalraster, comprehensive API bindings to GDAL:
https://firelab.github.io/gdalraster/news/index.html

#rstats #rspatial #gdal

Do you work with Zarr data? The `pizzarr` package has just been published on CRAN! This is an R implementation for creating, reading, and writing chunked Zarr arrays, developed by David Blodgett and Mark Keller. It supports both Zarr V2 & V3 and efficient slicing of large N-dimensional arrays, making it perfect for handling massive datasets.

GitHub repository: https://github.com/zarr-developers/pizzarr

#rstats #rspatial #gischat #zarr

You are developing tools for spatial data science?

Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

Connect R, Python, Julia & more in spatial science.

Apply for on-site participation till end of May 2026.

More infos: https://spatial-data-science.github.io/2026/

Register directly: https://survey.academiccloud.de/f/861612?lang=en

#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo

You are developing tools for spatial data science?

Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

Connect R, Python, Julia & more in spatial science.

Apply for on-site participation till end of May 2026.

More infos: https://spatial-data-science.github.io/2026/

Register directly: https://survey.academiccloud.de/f/861612?lang=en

#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo

You are developing tools for spatial data science?

Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

Connect R, Python, Julia & more in spatial science.

Apply for on-site participation till end of May 2026.

More infos: https://spatial-data-science.github.io/2026/

Register directly: https://survey.academiccloud.de/f/861612?lang=en

#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo

You are developing tools for spatial data science?

Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

Connect R, Python, Julia & more in spatial science.

Apply for on-site participation till end of May 2026.

More infos: https://spatial-data-science.github.io/2026/

Register directly: https://survey.academiccloud.de/f/861612?lang=en

#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo

You are developing tools for spatial data science?

Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

Connect R, Python, Julia & more in spatial science.

Apply for on-site participation till end of May 2026.

More infos: https://spatial-data-science.github.io/2026/

Register directly: https://survey.academiccloud.de/f/861612?lang=en

#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo

How to efficiently query data at point coordinates from #STAC collection in #RStats ?
We have a bunch of points and e.g. want to calculate the mean raster value for each point with a buffer. #rspatial
https://dom.stac.lgln.niedersachsen.de/collections/dom1

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

https://cran.r-project.org/package=fastfocal

#RStats #GIScience #RSpatial

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: https://doi.org/10.5311/JOSIS.2025.31.462

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

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: https://doi.org/10.5311/JOSIS.2025.31.462

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

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: https://doi.org/10.5311/JOSIS.2025.31.462

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

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: https://doi.org/10.5311/JOSIS.2025.31.462

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

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: https://doi.org/10.5311/JOSIS.2025.31.462

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

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

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

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

#Rstats #RSpatial #GIS #SpatialStatistics

✨What’s new in geocomputation this year?

The #geocompx 2025 update covers project milestones, current work, and future plans.

URL: https://geocompx.org/post/2025/updates-2025/

#rstats #rspatial #geopython

✨What’s new in geocomputation this year?

The #geocompx 2025 update covers project milestones, current work, and future plans.

URL: https://geocompx.org/post/2025/updates-2025/

#rstats #rspatial #geopython

✨What’s new in geocomputation this year?

The #geocompx 2025 update covers project milestones, current work, and future plans.

URL: https://geocompx.org/post/2025/updates-2025/

#rstats #rspatial #geopython

✨What’s new in geocomputation this year?

The #geocompx 2025 update covers project milestones, current work, and future plans.

URL: https://geocompx.org/post/2025/updates-2025/

#rstats #rspatial #geopython

✨What’s new in geocomputation this year?

The #geocompx 2025 update covers project milestones, current work, and future plans.

URL: https://geocompx.org/post/2025/updates-2025/

#rstats #rspatial #geopython

🚀 Exploring COGs (Cloud‑Optimized GeoTIFFs) in R with the terra package (e.g., visualizing the internal tile structure).

See: https://guide.cloudnativegeo.org/cloud-optimized-geotiffs/accessing-cogs-in-r-terra.html#detailed-demonstration

#RStats #RSpatial #Geospatial #CloudNativeGeo #GISchat

What are the most exciting trends you’re seeing in spatial data science lately?
Some of mine:

- New file formats (e.g. #GeoParquet)
- Geospatial DBs (e.g. #DuckDB + spatial)
- Global discrete grids

What would you add?

#Geospatial #GISchat #RSpatial #GeoPython

What are the most exciting trends you’re seeing in spatial data science lately?
Some of mine:

- New file formats (e.g. #GeoParquet)
- Geospatial DBs (e.g. #DuckDB + spatial)
- Global discrete grids

What would you add?

#Geospatial #GISchat #RSpatial #GeoPython

What are the most exciting trends you’re seeing in spatial data science lately?
Some of mine:

- New file formats (e.g. #GeoParquet)
- Geospatial DBs (e.g. #DuckDB + spatial)
- Global discrete grids

What would you add?

#Geospatial #GISchat #RSpatial #GeoPython

What are the most exciting trends you’re seeing in spatial data science lately?
Some of mine:

- New file formats (e.g. #GeoParquet)
- Geospatial DBs (e.g. #DuckDB + spatial)
- Global discrete grids

What would you add?

#Geospatial #GISchat #RSpatial #GeoPython

What are the most exciting trends you’re seeing in spatial data science lately?
Some of mine:

- New file formats (e.g. #GeoParquet)
- Geospatial DBs (e.g. #DuckDB + spatial)
- Global discrete grids

What would you add?

#Geospatial #GISchat #RSpatial #GeoPython

Here is a quick land-cover breakdown for the Carpathian National Nature Park (Ivano-Frankivsk region, Ukraine), based on Copernicus Global Land Service remote-sensing data.

The results show that closed evergreen needle-leaf forest dominates the territory (almost 60%), followed by mixed and deciduous forests. Urban areas, shrubs, and agricultural lands occupy only a tiny fraction of the park.

This is part of my long-term project of analysing protected areas using open satellite datasets and reproducible geospatial workflows.

#RemoteSensing #EarthObservation #Copernicus #LandCover #GIS
#RStats #Rspatial #Conservation #Carpathians #Ukraine #Biodiversity
#NationalParks #OpenData #EnvironmentalScience #LULC

🌍 Blog series: Spatial Machine Learning with R

From caret to tidymodels, mlr3, and specialized spatial ML packages — explore how spatial context changes the way we build ML models in R.

Start with Part 1 👉 https://geocompx.org/post/2025/sml-bp1/

#RStats #SpatialML #MachineLearning #RSpatial

🚀 Book in progress: Spatial Data Visualization with tmap

A practical guide to creating clear thematic maps in R with the tmap package.
Covers everything from loading data to interactive and animated maps, with reproducible code and examples.

Read online: https://tmap.geocompx.org/

#rstats #rspatial #geocompx #gischat #maps

Chapter 16: Summary & Future of Geocomputation 🚀📖

What’s next? 📌 This final chapter reflects on key themes, gaps, and the future of geocomputation. Crucially, learn how to contribute to open-source spatial communities!

🔗 https://r.geocompx.org/conclusion

#rstats #rspatial #geocompx