#rspatial — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #rspatial, aggregated by home.social.
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📍 The David G. Rossiter spatial analysis resources page has moved and hosts a wide set of tutorials and examples on soil geography and geospatial data science.
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📍 The David G. Rossiter spatial analysis resources page has moved and hosts a wide set of tutorials and examples on soil geography and geospatial data science.
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📍 The David G. Rossiter spatial analysis resources page has moved and hosts a wide set of tutorials and examples on soil geography and geospatial data science.
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📍 The David G. Rossiter spatial analysis resources page has moved and hosts a wide set of tutorials and examples on soil geography and geospatial data science.
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📍 The David G. Rossiter spatial analysis resources page has moved and hosts a wide set of tutorials and examples on soil geography and geospatial data science.
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The basics of parallel raster processing in terra. Tutorial by Robert Hijmans.
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⏰ Early-bird registration ends 31 May for the #EOSummerSchool2026 in Istanbul!
A week of hands-on training in Earth Observation data science (Python, R, Julia), 17–21 Aug.
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⏰ Early-bird registration ends 31 May for the #EOSummerSchool2026 in Istanbul!
A week of hands-on training in Earth Observation data science (Python, R, Julia), 17–21 Aug.
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⏰ Early-bird registration ends 31 May for the #EOSummerSchool2026 in Istanbul!
A week of hands-on training in Earth Observation data science (Python, R, Julia), 17–21 Aug.
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⏰ Early-bird registration ends 31 May for the #EOSummerSchool2026 in Istanbul!
A week of hands-on training in Earth Observation data science (Python, R, Julia), 17–21 Aug.
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⏰ Early-bird registration ends 31 May for the #EOSummerSchool2026 in Istanbul!
A week of hands-on training in Earth Observation data science (Python, R, Julia), 17–21 Aug.
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This is a reminder that the registration for SDSL 2026 is end of May.
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 -
This is a reminder that the registration for SDSL 2026 is end of May.
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 -
This is a reminder that the registration for SDSL 2026 is end of May.
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 -
This is a reminder that the registration for SDSL 2026 is end of May.
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 -
This is a reminder that the registration for SDSL 2026 is end of May.
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 -
New versions of R packages {mapsf} and {maplegend} for thematic cartography! 📦
New features are descibed in the following blog posts.
🔗 https://rcarto.github.io/posts/mapsf_v1.2.0/
🔗 https://rcarto.github.io/posts/maplegend_v0.6.3/:rstats: https://CRAN.R-project.org/package=mapsf
:rstats: https://CRAN.R-project.org/package=maplegend:git: https://github.com/riatelab/mapsf/
:git: https://github.com/riatelab/maplegend/
#rstats #rspatial #gisChat #GIS -
New versions of R packages {mapsf} and {maplegend} for thematic cartography! 📦
New features are descibed in the following blog posts.
🔗 https://rcarto.github.io/posts/mapsf_v1.2.0/
🔗 https://rcarto.github.io/posts/maplegend_v0.6.3/:rstats: https://CRAN.R-project.org/package=mapsf
:rstats: https://CRAN.R-project.org/package=maplegend:git: https://github.com/riatelab/mapsf/
:git: https://github.com/riatelab/maplegend/
#rstats #rspatial #gisChat #GIS -
New versions of R packages {mapsf} and {maplegend} for thematic cartography! 📦
New features are descibed in the following blog posts.
🔗 https://rcarto.github.io/posts/mapsf_v1.2.0/
🔗 https://rcarto.github.io/posts/maplegend_v0.6.3/:rstats: https://CRAN.R-project.org/package=mapsf
:rstats: https://CRAN.R-project.org/package=maplegend:git: https://github.com/riatelab/mapsf/
:git: https://github.com/riatelab/maplegend/
#rstats #rspatial #gisChat #GIS -
New versions of R packages {mapsf} and {maplegend} for thematic cartography! 📦
New features are descibed in the following blog posts.
🔗 https://rcarto.github.io/posts/mapsf_v1.2.0/
🔗 https://rcarto.github.io/posts/maplegend_v0.6.3/:rstats: https://CRAN.R-project.org/package=mapsf
:rstats: https://CRAN.R-project.org/package=maplegend:git: https://github.com/riatelab/mapsf/
:git: https://github.com/riatelab/maplegend/
#rstats #rspatial #gisChat #GIS -
New versions of R packages {mapsf} and {maplegend} for thematic cartography! 📦
New features are descibed in the following blog posts.
🔗 https://rcarto.github.io/posts/mapsf_v1.2.0/
🔗 https://rcarto.github.io/posts/maplegend_v0.6.3/:rstats: https://CRAN.R-project.org/package=mapsf
:rstats: https://CRAN.R-project.org/package=maplegend:git: https://github.com/riatelab/mapsf/
:git: https://github.com/riatelab/maplegend/
#rstats #rspatial #gisChat #GIS -
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” -
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
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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
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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
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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
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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
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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
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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 -
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:
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New CRAN release of R package gdalraster, comprehensive API bindings to GDAL:
https://firelab.github.io/gdalraster/news/index.html -
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 -
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 -
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
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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
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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
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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
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📍 Registration is open for Spatial Data Science across Languages (SDSL) 2025 – Sept 17–18 (+19), Salzburg, Austria.
Connect R, Python, Julia & more in spatial science.
🔗 https://forms.gle/E9fpG88V2VQQKmjk9 -- Apply for on-site by mid-July – limited spots.
#SDSL2025 #SpatialDataScience #OpenSource #RSpatial #Geopython #Juliageo
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📍 Registration is open for Spatial Data Science across Languages (SDSL) 2025 – Sept 17–18 (+19), Salzburg, Austria.
Connect R, Python, Julia & more in spatial science.
🔗 https://forms.gle/E9fpG88V2VQQKmjk9 -- Apply for on-site by mid-July – limited spots.
#SDSL2025 #SpatialDataScience #OpenSource #RSpatial #Geopython #Juliageo
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📍 Registration is open for Spatial Data Science across Languages (SDSL) 2025 – Sept 17–18 (+19), Salzburg, Austria.
Connect R, Python, Julia & more in spatial science.
🔗 https://forms.gle/E9fpG88V2VQQKmjk9 -- Apply for on-site by mid-July – limited spots.
#SDSL2025 #SpatialDataScience #OpenSource #RSpatial #Geopython #Juliageo
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📍 Registration is open for Spatial Data Science across Languages (SDSL) 2025 – Sept 17–18 (+19), Salzburg, Austria.
Connect R, Python, Julia & more in spatial science.
🔗 https://forms.gle/E9fpG88V2VQQKmjk9 -- Apply for on-site by mid-July – limited spots.
#SDSL2025 #SpatialDataScience #OpenSource #RSpatial #Geopython #Juliageo
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🚀 New preprint! "Spatial Data Science Languages: Commonalities and Needs" 🌍
Exploring challenges & insights from #Rstats #Python & #JuliaLang for spatial data handling—geodetic coords, data cubes, and more!
🔗 Read here: https://arxiv.org/html/2503.16686v1
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🚀 New preprint! "Spatial Data Science Languages: Commonalities and Needs" 🌍
Exploring challenges & insights from #Rstats #Python & #JuliaLang for spatial data handling—geodetic coords, data cubes, and more!
🔗 Read here: https://arxiv.org/html/2503.16686v1
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🚀 New preprint! "Spatial Data Science Languages: Commonalities and Needs" 🌍
Exploring challenges & insights from #Rstats #Python & #JuliaLang for spatial data handling—geodetic coords, data cubes, and more!
🔗 Read here: https://arxiv.org/html/2503.16686v1
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🚀 New preprint! "Spatial Data Science Languages: Commonalities and Needs" 🌍
Exploring challenges & insights from #Rstats #Python & #JuliaLang for spatial data handling—geodetic coords, data cubes, and more!
🔗 Read here: https://arxiv.org/html/2503.16686v1
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Explore the blog series on comparing spatial patterns in raster data using R. 🌍📊
- Techniques for analyzing continuous and categorical data
- Handling overlapping and arbitrary regions
- Advanced methods for comparing spatial patternsFind the full series at https://buff.ly/s35030O
#GIS #Rstats #SpatialAnalysis #RasterData #GeospatialAnalysis #rspatial
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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