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Jakub NowosadNew R package: rgeomorphon 📦 by Andrew Brown Classifies terrain forms using a parallel C++ implementation of the geomorphon algorithm.🔗 <a href="https://github.com/brownag/rgeomorphon" rel="nofollow noopener" translate="no" target="_blank">https://github.com/brownag/rgeomorphon</a><a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#RStats</a> <a href="https://fosstodon.org/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#GIS</a> <a href="https://fosstodon.org/tags/TerrainAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#TerrainAnalysis</a> <a href="https://fosstodon.org/tags/RemoteSensing" class="mention hashtag" rel="nofollow noopener" target="_blank">#RemoteSensing</a> <a href="https://fosstodon.org/tags/RSpatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#RSpatial</a>

Jakub NowosadChapter 14: Geomarketing & Location Analysis 🏪📍Where should you open a bike shop? 📌 Learn how to use census & OpenStreetMap data for spatial decision-making in geomarketing & site selection.🔗 <a href="https://r.geocompx.org/location" rel="nofollow noopener" translate="no" target="_blank">https://r.geocompx.org/location</a> <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#rspatial</a> <a href="https://fosstodon.org/tags/geocompx" class="mention hashtag" rel="nofollow noopener" target="_blank">#geocompx</a>

Jakub NowosadHave you read Geocomputation with R?📘 If you found it helpful, we’d really appreciate a quick review — it helps others find the book too! Goodreads: <a href="https://www.goodreads.com/book/show/214736719-geocomputation-with-r" rel="nofollow noopener" translate="no" target="_blank">https://www.goodreads.com/book/show/214736719-geocomputation-with-r</a> Amazon: <a href="https://www.amazon.com/dp/1032248882" rel="nofollow noopener" translate="no" target="_blank">https://www.amazon.com/dp/1032248882</a> Book: <a href="https://r.geocompx.org/" rel="nofollow noopener" translate="no" target="_blank">https://r.geocompx.org/</a><a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://fosstodon.org/tags/gis" class="mention hashtag" rel="nofollow noopener" target="_blank">#gis</a> <a href="https://fosstodon.org/tags/geocompx" class="mention hashtag" rel="nofollow noopener" target="_blank">#geocompx</a> <a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#rspatial</a>

Jakub NowosadChapter 13: Transport Systems Analysis 🚶🚴🚌Model transport networks! 📌 Analyze travel patterns, desire lines, routes, and accessibility using open data and reproducible geospatial workflows in R.🔗 <a href="https://r.geocompx.org/transport" rel="nofollow noopener" translate="no" target="_blank">https://r.geocompx.org/transport</a> <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#rspatial</a> <a href="https://fosstodon.org/tags/geocompx" class="mention hashtag" rel="nofollow noopener" target="_blank">#geocompx</a>

Jakub Nowosad🌲 New R package: forestdata makes it easy to download forestry and land cover data from multiple sources (Copernicus, ESRI, EU-Trees4F, and more). Supports sf, SpatRaster, and tidy outputs.Explore it here: <a href="https://cidree.github.io/forestdata/" rel="nofollow noopener" translate="no" target="_blank">https://cidree.github.io/forestdata/</a><a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#rspatial</a> <a href="https://fosstodon.org/tags/forestry" class="mention hashtag" rel="nofollow noopener" target="_blank">#forestry</a> <a href="https://fosstodon.org/tags/landcover" class="mention hashtag" rel="nofollow noopener" target="_blank">#landcover</a>

Jakub NowosadChapter 12: Spatial Statistical Learning 📊🌍Boost your spatial models! 📌 Learn about spatial autocorrelation, cross-validation, and machine learning with `mlr3`, using a real-world landslide prediction case study.🔗 <a href="https://r.geocompx.org/spatial-cv" rel="nofollow noopener" translate="no" target="_blank">https://r.geocompx.org/spatial-cv</a> <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#rspatial</a> <a href="https://fosstodon.org/tags/geocompx" class="mention hashtag" rel="nofollow noopener" target="_blank">#geocompx</a>

Jakub NowosadNew R package alert: 📦 mbg for model-based geostatisticsRun spatial ML & geostatistical models to estimate continuous surfaces from point data + raster covariates.Built on sf, terra, data.table, caret, and R-INLA.<a href="https://cran.r-project.org/package=mbg" rel="nofollow noopener" translate="no" target="_blank">https://cran.r-project.org/package=mbg</a><a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#rspatial</a> <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://fosstodon.org/tags/geostatistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#geostatistics</a>

Jakub Nowosad🚨 Final part of our Spatial ML with R series ! 🚨We explore spatial cross-validation with sperrorest & blockCV — tools outside the usual ML frameworks 📦 URL: <a href="https://geocompx.org/post/2025/sml-bp6/" rel="nofollow noopener" translate="no" target="_blank">https://geocompx.org/post/2025/sml-bp6/</a> <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://fosstodon.org/tags/SpatialML" class="mention hashtag" rel="nofollow noopener" target="_blank">#SpatialML</a> <a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#rspatial</a>

Hugh GrahamOkay - further to my early rants about CDSE data, it aint as bad as I thought 😅 it also prompted me to properly sort out my approach to scaling/offsets which had been driving me mad! So if anyone cares for another way to download data from CDSE, with <a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#rspatial</a> / <a href="https://fosstodon.org/tags/gdal" class="mention hashtag" rel="nofollow noopener" target="_blank">#gdal</a> I made a gist:<a href="https://gist.github.com/h-a-graham/86cd3403445cf163ce958efa2d29c621" rel="nofollow noopener" translate="no" target="_blank">https://gist.github.com/h-a-graham/86cd3403445cf163ce958efa2d29c621</a>There are still some improvements to be made for sure. FYI <a href="https://fosstodon.org/@Micha_Silver" class="u-url mention" rel="nofollow noopener" target="_blank">@Micha_Silver</a>

Jakub NowosadChapter 11: Writing Geoalgorithms 💻🧩🔁Focuses on developing reusable and reproducible code for spatial tasks in R. Demonstrates algorithm design using examples like calculating polygon centroids.🔗 <a href="https://r.geocompx.org/algorithms" rel="nofollow noopener" translate="no" target="_blank">https://r.geocompx.org/algorithms</a> <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#rspatial</a> <a href="https://fosstodon.org/tags/geocompx" class="mention hashtag" rel="nofollow noopener" target="_blank">#geocompx</a>

Jakub Nowosad🪡 A heads-up about the Geocomputation with R book: some copies were mistakenly printed in black & white instead of full color. If you received one, please contact me or the publisher for a replacement. A new, correct copy will be sent to you!Publisher: <a href="https://www.routledge.com/contacts/customer-service" rel="nofollow noopener" translate="no" target="_blank">https://www.routledge.com/contacts/customer-service</a><a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#rspatial</a> <a href="https://fosstodon.org/tags/geocompx" class="mention hashtag" rel="nofollow noopener" target="_blank">#geocompx</a>

Olivier LeroyI finally manage to watch <a href="https://fosstodon.org/@paleolimbot" class="u-url mention" rel="nofollow noopener" target="_blank">@paleolimbot</a> presentation at <a href="https://fosstodon.org/@RConsortium" class="u-url mention" rel="nofollow noopener" target="_blank">@RConsortium</a> on "scaling the <a href="https://fosstodon.org/tags/Rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#Rspatial</a> ecosystem" ! <a href="https://www.youtube.com/watch?v=tjNEoIYr_ag" rel="nofollow noopener" translate="no" target="_blank">https://www.youtube.com/watch?v=tjNEoIYr_ag</a>Quick subjective key points:- Use the database Luke and learn a bit SQL (I was already converted)- the diversity of R packages to do some workflows also represent the diversity of standards (s.f.) and steps to reach similar results - wkt_filter seems very nice (I was using "query" and GDAL/SQL instead)<a href="https://fosstodon.org/tags/GISChat" class="mention hashtag" rel="nofollow noopener" target="_blank">#GISChat</a> <a href="https://fosstodon.org/tags/Rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#Rstats</a>

Jakub NowosadChapter 10: Bridges to GIS Tools 🌉🛠️📦Shows how to connect R with external GIS tools like QGIS, GRASS, and SAGA. Also includes guidance on working with GDAL, spatial databases, and cloud-based services.🔗 <a href="https://r.geocompx.org/gis" rel="nofollow noopener" translate="no" target="_blank">https://r.geocompx.org/gis</a> <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#rspatial</a> <a href="https://fosstodon.org/tags/geocompx" class="mention hashtag" rel="nofollow noopener" target="_blank">#geocompx</a>

Jakub Nowosad🚀 New blog post! Part 5 of our series on spatial ML with <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#RStats</a> explores specialized packages: RandomForestsGLS, spatialRF, and meteo -- tools beyond caret, tidymodels, & mlr3.URL: <a href="https://geocompx.org/post/2025/sml-bp5/" rel="nofollow noopener" translate="no" target="_blank">https://geocompx.org/post/2025/sml-bp5/</a><a href="https://fosstodon.org/tags/SpatialML" class="mention hashtag" rel="nofollow noopener" target="_blank">#SpatialML</a> <a href="https://fosstodon.org/tags/RSpatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#RSpatial</a> <a href="https://fosstodon.org/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#MachineLearning</a>

Jakub Nowosad📍 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.🔗 <a href="https://forms.gle/E9fpG88V2VQQKmjk9" rel="nofollow noopener" translate="no" target="_blank">https://forms.gle/E9fpG88V2VQQKmjk9</a> -- Apply for on-site by mid-July – limited spots.<a href="https://fosstodon.org/tags/SDSL2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#SDSL2025</a> <a href="https://fosstodon.org/tags/SpatialDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#SpatialDataScience</a> <a href="https://fosstodon.org/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenSource</a> <a href="https://fosstodon.org/tags/RSpatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#RSpatial</a> <a href="https://fosstodon.org/tags/Geopython" class="mention hashtag" rel="nofollow noopener" target="_blank">#Geopython</a> <a href="https://fosstodon.org/tags/Juliageo" class="mention hashtag" rel="nofollow noopener" target="_blank">#Juliageo</a>

Jakub NowosadChapter 9: Mapping & Visualization 🗺️🖼️📊Introduces tools for making static, animated, and interactive maps in R. Covers the tmap package and web-based options for sharing geographic data visually.🔗 <a href="https://r.geocompx.org/adv-map" rel="nofollow noopener" translate="no" target="_blank">https://r.geocompx.org/adv-map</a><a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#rspatial</a> <a href="https://fosstodon.org/tags/geocompx" class="mention hashtag" rel="nofollow noopener" target="_blank">#geocompx</a>

Sharon MachlisFrom Brittany Barker: ‘My "GIS and Mapping in R" workshop for the Cascadia R Conference . . . is available at GitHub and includes four exercises that focus on using "sf", "terra", "ggplot2", and "leaflet" for geospatial analyses and creating static and interactive maps’ <a href="https://masto.machlis.com/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#RStats</a> <a href="https://masto.machlis.com/tags/RSpatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#RSpatial</a> (Barker is an asst research professor at Oregon State University in Portland) <a href="https://github.com/bbarker505/CASCADIA_R_Intro_to_GIS_2025" rel="nofollow noopener" translate="no" target="_blank">https://github.com/bbarker505/CASCADIA_R_Intro_to_GIS_2025</a>

Nicolas Lambert 🌏Is it possible to have an Antarctic-centered Peirce Quincuncial projection with <a href="https://vis.social/tags/Rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#Rstats</a>? <a href="https://vis.social/tags/rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#rspatial</a>North pole: "+proj=peirce_q +lon_0=25 +shape=square" South Pole: ? 🤷‍♂️

Jakub NowosadChapter 8: Geographic Data I/O 📂🌍💾Covers how to read and write spatial data in various formats, access open geoportals, and work with geographic web services in R. Includes tips on metadata and exporting maps.🔗 <a href="https://r.geocompx.org/read-write" rel="nofollow noopener" translate="no" target="_blank">https://r.geocompx.org/read-write</a> <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#rspatial</a> <a href="https://fosstodon.org/tags/geocompx" class="mention hashtag" rel="nofollow noopener" target="_blank">#geocompx</a>

Jakub Nowosad📍 I gave a talk on measuring spatial autocorrelation in spatial machine learning at the <a href="https://fosstodon.org/tags/AGILE0GI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AGILE0GI</a> conference.Slides: <a href="https://jakubnowosad.com/agile-gi2025/" rel="nofollow noopener" translate="no" target="_blank">https://jakubnowosad.com/agile-gi2025/</a>Always glad to discuss spatial ML or autocorrelation --- feel free to reach out!<a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#rspatial</a> <a href="https://fosstodon.org/tags/gischat" class="mention hashtag" rel="nofollow noopener" target="_blank">#gischat</a> <a href="https://fosstodon.org/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machinelearning</a>

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