Jakub Nowosad
@nowosad.fosstodon.org.ap.brid.gy
Computational geographer. Associate Professor at AMU, Poznan, Poland. Co-author of http://r.geocompx.org, http://py.geocompx.org, and https://tmap.geocompx.org books […] 🌉 bridged from ⁂ https://fosstodon.org/@nowosad, follow @ap.brid.gy to interact
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
Notes from ML4EO 2026 🌍 A short blog post summarizing my talk and workshop from the ML4EO conference on spatial machine learning validation. https://jakubnowosad.com/posts/2026-07-03-ml4eo/ #rspatial #EarthObservation #MachineLearning #RemoteSensing #GeoSpatial
Rethinking Validation for Spatial Machine Learning: Takeaways from the Talk – Thinking in spatial patterns
A summary of key points from my keynote and workshop at the Machine Learning for Earth Observation conference in Exeter (2026-06-22 and 2026-06-23).
jakubnowosad.com
Always happy to see new mapping tools for R. David Willinger's **{cartographr}** is a welcome addition to the spatial visualization ecosystem. The more the merrier! https://cran.r-project.org/package=cartographr #rspatial #rstats #Cartography #DataViz #GeoSpatial
cartographr: Crafting Print-Ready Maps and Layered Visualizations
Simplifying the creation of print-ready maps, this package offers a user-friendly interface derived from 'ggplot2' for handling OpenStreetMap data. It streamlines the map-making process, allowing users to focus on the story their maps tell. Transforming raw geospatial data into informative visualizations is made easy with simple features 'sf' geometries. Whether for urban planning, environmental studies, or impactful public presentations, this tool facilitates straightforward and effective map creation. Enhance the dissemination of spatial information with high-quality, narrative-driven visualizations!
cran.r-project.org
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
OSGeo establishes a European legal foundation The Open Source Geospatial Foundation (OSGeo) has established a legal foundation in Europe. The founding documents were signed yesterday. The new entity, Stichting Open Source Geospatial, has its statutory seat in Wageningen and operates under the […]
Original post on fosstodon.org
fosstodon.org
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]
Quick recap of Belém, Salzburg, and what's coming next: http://anitagraser.com/2026/07/11/belem-salzburg-and-onwards/
anitagraser.com
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
July 06-09, 2026: useR! 2026 is taking place in Warsaw. Check out rOpenSci community members' participation in the conference: https://ropensci.org/events/user-2026/ #RStats #useR2026
useR! 2026 - Warsaw
Software Review Lead Mark Padgham and rOpenSci community members are attending the useR! conference.
ropensci.org
🚂 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
We're proud to announce our new shiny app to make thematic maps with R: {mapsf.gui} More details on the blog post: https://rcarto.github.io/posts/mapsf.gui_v0.1.0/ :git: : https://codeberg.org/riatelab/mapsf.gui :rstats: ❤️ 🗺️ 1/2 #rstats #rspatial #gisChat #GIS
🚦 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]
This new cheat sheet guides users on how to use OpenStreetMap data and related tools with R for: geocoding, routing, downloading base maps and datasets. You can download the PDF here: https://zenodo.org/records/20842874/files/cheatsheet_osm_r.pdf Many thanks […] [Original post on fosstodon.org]
We've just updated the {mapsf} cheat sheet! You can download the PDF here: https://zenodo.org/records/20842651/files/mapsf_cheatsheet.pdf {mapsf} is an R package for thematic mapping. :rstats: 📦 🗺️ #RStats #RSpatial #gisChat
🗺️ 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]
➡️ I’ll be at ML4EO 2026 in Exeter, UK (22–24 June) Machine Learning for Earth Observation brings together work on ML, remote sensing, and geospatial data science. I look forward to good talks and meeting people. https://ml4eo.org/ #ML4EO #EarthObservation #MachineLearning #GIS
ML4EO
Machine Learning for Earth Observation
ml4eo.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 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
📍 I’ll be at GeoAI 2026 in Ghent (3–6 June) Looking forward to meeting people working on geospatial analysis and Earth observation -- happy to connect and chat in person. https://geoaiconference.org/ #GeoAI #MachineLearning #rspatial
GeoAI 2026 – International Conference on GeoAI
geoaiconference.org
