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. github.com/nowosad/geos... #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. jakubnowosad.com/posts/2026-0... #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! cran.r-project.org/package=cart... #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…

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. 🗺️ jguelat.github.io/spatial-r/ #rspatial #rstats #SpatialAnalysis #OpenSource

Lowkey a #climaterisk paper for those of us involved in spatial modelling

Jakub Nowosad@jakubnowosad.com · last mo.

🚦 New workshop from #ML4EO2026: "Where your models can be trusted" Learn how to evaluate spatial ML using kNNDM CV, Area of Applicability, and more. All with R examples. Materials: jakubnowosad.com/ml4eo2026wor.... #SpatialML #MachineLearning #RStats #RSpatial

I'm excited to share that I've received a grant from R Consortium to modernize R's tigris and tidycensus packages this summer. Over the past decade, tigris and tidycensus have become fixtures in R's demographic and spatial data ecosystems.

Want to learn geocomputation with R? The materials from our tutorial at UseR! 2026 are now available: slides, hands-on exercises, datasets, and solutions, covering CRS, vector and raster data, and mapping with **tmap**. github.com/geocompx/use... #rstats #geocompx #rspatial #UseR2026

📢 Call for Papers: The Open-Source Approach to Geospatial Applications (Geocarto International) 🗓️ Submission deadline: 31 January 2027 think.taylorandfrancis.com/article_coll... #FOSS4G #GISchat #OpenScience

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. doi.org/10.1016/j.ge... #SoilScience #MachineLearning #EarthObservation

Introducing {rdoom} - Play Doom in #RStats (in time for #UseR2026 !) github.com/coolbutusele... This is a demonstration that {tigerfb} + {nara} can do realtime interactivity in R! Includes: keyboard & mouse control, audio, cheat modes!

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: jakubnowosad.com/user2026/ #rstats #geocomputation #UseR2026

🚂 Heading to useR!2026 in Warsaw (6–9 July 2026). 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. 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 kNNDM CV, Area of Applicability, and more. All with R examples. Materials: jakubnowosad.com/ml4eo2026wor.... #SpatialML #MachineLearning #RStats #RSpatial

I have been tinkering with how to quickly modify a Quarto theme, and I think I have a decently fast solution. Introducing the Quarto Theme Tweaker Run the `Open Theme Tweaker` command in an active qmd file. Modify the settings to your liking. Save the results. github.com/EmilHvitfeld... #quarto

🌍 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: jakubnowosad.com/ml4eo2026/ #SpatialML #MachineLearning #RSpatial

📘 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. shop.elsevier.com/books/geomor... #Geomorphometry #GIScience

We're excited to announce a new release of SedonaDB, and this one is a big one! Between native DataFrame APIs in Python and R, a brand new Geography implementation, GPU accelerated joins, and a raster/ND-array foundation, it's hard to know where to start.

5 days left to register!

clementinecttn.bsky.social@clementinecttn.bsky.social · 2mo ago

3 weeks left to register your interest in our workshop on urban segregation computation with R. @erc-segue.bsky.social @rbanism.bsky.social Please circulate to anyone who might benefit from it (early career, outside dominant institutions or with less developed networks). erc-segue.nl/Workshop

🗺️ 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. github.com/r-tmap/tmap/... #rstats #tmap #GISchat #rspatial

Do you love maps? Of course you do! With the latest release of #ggsql we now support spatial plotting directly from your database. As a cherry on top, the release also provides powerful in-layer aggregation. Read all about it on the blog

ggsql 0.4.1: Spatial plotting and in-layer aggregation

ggsql 0.4.1 adds support for spatial plotting and data aggregation within layers. Read all about the new features in this release post.

opensource.posit.co

⏳ 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: journals.sagepub.com/home/ppg #Geospatial #OpenSource

Hey #rspatial, any 📦s that perform spatial CV well? Blocked by a few {spatialsample} bugs and {blockCV} doesn't make contiguous blocks. I have a grid and want to make a contiguous holdout set. #rstats

➡️ 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. 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). github.com/jsmendozap/r... #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. www.erdkunde.uni-bonn.de/article/view... #SpatialML

🌍 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. www.erdkunde.uni-bonn.de/article/view... #SpatialML

📄 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. geospatialstuff.com/posts/2026/0... #GIS #SpatialStats #RStats #RSpatial

🛍️ 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. 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: github.com/CredibleAI/R... #RStats #RSpatial #EarthObservation #OpenScience