Where can your spatial model be trusted? 🌍 Yesterday at #EOschool2026 in Istanbul, I talked about reliable validation of spatial machine learning: evaluate the map, not just the model. Slides (expanded ML4EO 2026 talk) […] [Original post on fosstodon.org]

New slides from the Earth Observation Summer School 2026 in Istanbul 🇹🇷 "Building reproducible spatial workflows in R": a tour of functions, iterations, and choosing the right spatial tools -- from sf/terra to wk/geos/gdalraster. Slides + code […] [Original post on fosstodon.org]

What's better to think about in the middle of summer than geospatial conferences? ☀️ Whether you're looking for your next event or want to share one with the community -- take a look. https://github.com/nowosad/geospatial-conferences #rspatial #GISchat #GeoSpatial #Conference #OpenScience

A resource from Jérôme Guélat for anyone working with spatial data in R. *Spatial Data Processing with R* combines GIS fundamentals with practical, reusable workflows for analysis and map making. 🗺️ https://jgrun.github.io/spatial/ #rspatial #rstats #SpatialAnalysis #OpenSource

Want to learn geocomputation with R? The materials from our *Geocomputation with R* tutorial at UseR! 2026 are now available: slides, hands-on exercises, datasets, and solutions, covering CRS, vector and raster data, and mapping with **tmap** […] [Original post on fosstodon.org]

📢 Call for Papers: The Open-Source Approach to Geospatial Applications (Geocarto International) How open-source software, data, and standards are transforming geospatial science—advancing transparency, reproducibility, and innovation across GIS, remote sensing […] [Original post on fosstodon.org]

How does landscape shape soil respiration? Baumberger et al. apply interpretable machine learning to high-resolution field data, showing how spatial heterogeneity and land use influence soil respiration over space and time […] [Original post on fosstodon.org]

A world still to be mapped 🌍 Today at UseR! 2026 in Warsaw, I gave a talk "A world still to be mapped: reflections on geocomputation in R". A look at the #rspatial history, current state, my challenges, and more. Slides: https://jakubnowosad.com/user2026/ #rstats #geocomputation #UseR2026

🚂 Heading to useR!2026 in Warsaw (6–9 July 2026). https://user2026.r-project.org/ I’ll be around and keen to meet others working on #rspatial and geocomputation in R (etc.). #useR2026 #rstats #rspatial

⏰️ Still time to sign up for our "Geocomputation with R" workshop at UseR! 2026 (July 6, 9AM). A 3-hour intro to spatial data in R using sf, terra, and tmap by Jannes Muenchow and me. https://user2026.r-project.org/ #rspatial #geocompx #RStats #USER2026

🚦 New workshop from #ML4EO2026: "Where your models can be trusted" Learn how to evaluate spatial ML using kNN distance matching CV, Area of Applicability (AoA), and more. All with R examples. Materials: slides, code, data, hands-on exercises are at […] [Original post on fosstodon.org]

🌍 My #ML4EO2026 talk focused on spatial machine learning and prediction-domain adaptive evaluation: defining the prediction domain, adapting validation, and weighting evaluation by deployment location properties. Slides: https://jakubnowosad.com/ml4eo2026/ […] [Original post on fosstodon.org]

📘 Geomorphometry: Concepts, Software, Applications (2nd ed.) by Reuter, Grohmann & Lecours is coming this fall! A new edition covering approaches and applications in quantitative terrain analysis and Earth surface processes […] [Original post on fosstodon.org]

🗺️ New in the development version of the {tmap} R package: blending modes are now available! This makes it much easier to create more expressive terrain visualizations. https://github.com/r-tmap/tmap/issues/815 #rstats #tmap #GISchat #rspatial

⏳ One week remaining to submit to "Coding Earth" in Progress in Physical Geography: Earth and Environment. The issue focuses on open-source tools, geospatial workflows, and code-driven physical geography research. Deadline: 30 June 2026. Url […] [Original post on fosstodon.org]

📍 Interesting early-stage project: RQGIS Console An R console integrated directly into QGIS -- letting you write and run R code inside QGIS with full access to your active project (layers, CRS, extent, and metadata). https://github.com/jsmendozap/rqgis #QGIS #RStats #GIS #Geocomputation #RSpatial

🌍 New paper on key challenges in spatial machine learning! We discuss six major topics shaping the field: model validation, performance metrics, uncertainty quantification, algorithmic diversity, software implementation, and modeling protocols. The paper […] [Original post on fosstodon.org]

📄 New(-ish) post by David O’Sullivan A clear, hands-on exploration of the Modifiable Areal Unit Problem using simulation and R, showing how scale and aggregation can reshape spatial patterns and interpretation […] [Original post on fosstodon.org]

🛍️ The geocompx project now has a shop! You can support the project and grab a geocompx t-shirt or mug, spreading open-source spatial data science across R, Python, Julia, and beyond. https://geocompx.tpopsite.com/ #geocompx #FOSS4G #GIS #OpenScience

🌍 Calling R, geospatial & Earth Observation enthusiasts! Take on the R-for-eaRth Data Challenge: methane emission estimation from Sentinel-2 data. Deadline: June 30, 2026 Url: https://github.com/CredibleAI/R-for-eaRth #RStats #RSpatial #EarthObservation #OpenScience

📄 New our preprint: Moving Beyond Spatial and Random Cross-Validation in Environmental Modelling: A Call for Prediction-Domain Adaptive Evaluation https://arxiv.org/abs/2605.13689v1 #SpatialStats #Ecology #MachineLearning

⏰️ Reminder: submission deadline for the Spatial Data Science Award is soon (May 31). If you’re planning to nominate people contributing to geospatial open science, OSS development, and community building, now is the time to submit […] [Original post on fosstodon.org]

📍 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. https://swampstomper.nl/professional/# #spatialanalysis #gischat #rstats #rspatial

📢 The geocompx project has a new (and fully reproducible) logo! geocompx is a community-driven initiative for reproducible geocomputation across languages, building open resources for spatial data analysis, modeling, and visualization in R, Python, Julia, and […] [Original post on fosstodon.org]

⏰ 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. https://pretix.eu/opengeohubfoundation/EOSummerSchool2026/ #EarthObservation #RSpatial #GISchat

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 […] [Original post on fosstodon.org]

Last month I had the pleasure of attending the Advances in Spatial Machine Learning 2026 workshop. It provided an excellent setting for in-depth discussions, shared learning, and exchange of ideas. https://advsml.github.io/2026/ #SpatialMachineLearning #GISchat #MachineLearning

Thank you to everyone who came to discuss my PICO at #EGU26 today 👋 “Assessing residual spatial autocorrelation in machine learning models” Slides & details: https://jakubnowosad.com/egu2026/ #MachineLearning #SpatialAnalysis #EGU2026

GDAL can fix invalid geometries in a few different ways, depending on what you want to preserve. The main options are a “linework” approach that sticks closely to the original input, and a “structure” approach that prioritises clean, valid polygons 🛠️ Since […] [Original post on fosstodon.org]

My presentation at #EGU26 (Vienna): > Assessing residual spatial autocorrelation in machine learning models 📅 6 May | ⏰ 16:30 CEST 📍 PICO2.6, spot 2 See you there! #MachineLearning #SpatialAnalysis #GISchat