🌍Exploring Sentinel-2 with the Copernicus Data Space Ecosystem (CDSE)? Hugh Graham’s guide with vrtility in #rstats. Includes authentication & query of imagery and building cloud-free composites. permian-global-research.github.io/vrtility/art... #RSpatial #RemoteSensing #EarthObservation #GIS

Spatial Data Science across languages now has a website: https://spatial-data-science.github.io/ Thanks @martinfleis !

In preparation for the Data Science for Transport Planning (DSTP) course I'm teaching this week, I've updated the geocompx docker images to make them smaller, faster, and more flexible. Happy with the results: a portable multilingual environment for reproducible (transport) #DataScience

Had a privilege and pleasure to teach terra pkg (created by @roberthijmans.bsky.social et al.) and spatial sampling with R together with Alexandre Wadoux at the #EOSummerSchool2025 at WICC. You can follow the terra tutorial from here: differ.blog/p/processing... 📹: youtu.be/q9sQkg7BeAc?...

This week (Sep 15–19) I’m attending the #ECMLPKDD2025 conf in Porto! Happy to chat about the intersection of machine learning and spatial data -- reach out if you’d like to meet. 🌍 #ECMLPKDD2025 #MachineLearning #Geospatial

🚀 Book in progress: Spatial Data Visualization with tmap A guide to creating thematic maps in R with the tmap package. Covers everything from loading data to interactive and animated maps, with reproducible code. Read online: tmap.geocompx.org #rstats #rspatial #geocompx #gischat #maps

📢 Materials from the OpenGeoHub Summer School 2025 (“Data Science for Earth Observation”) by Krzysztof Dyba are now online. Discuss how to access, process, and analyze satellite data with #RStats. 👉 github.com/kadyb/OGH2025 #RSpatial #RemoteSensing #GISchat

The Geocomputation with Python #opensource book project just got an upgrade, with Python 3.12 now the default in the devcontainer. You can launch a full dev environment directly from your browser with GitHub Codespaces. Give it a try here: github.com/codespaces/n...

🌍 Call for Papers! Submit to the Progress in Physical Geography special issue: Coding Earth: Open Source Solutions in Physical Geography 📅 Deadline: 18 Dec 2025 🔗 journals.sagepub.com/home/ppg #OpenSource #OpenScience #GISchat #RSpatial #GeoPython

We’ve updated the geocompx README. Find guides, books, and tools for geocomputation in R, Python, and Julia — plus ways to get involved. Take a look: github.com/geocompx #Geocomputation #RStats #Python #OpenSource #geocompx

📦 New R package: sfhotspot by Matt Ashby Identify & analyze spatial clusters of points (places/events) entirely with sf objects. Includes tools for counts, change over time, kernel density, Getis–Ord Gi*, etc. 🔗 GitHub: github.com/mpjashby/sfh... #RStats #GISchat #Geocomputation #RSpatial

The Spatial Data Science Symposium #SDSS2025 is back. Check out the Call for Sessions and Call for Papers: sdss2025.spatial-data-science.net

I've added a few new features to {grateful}, the package that facilitates citation of #rstats packages, and I'd love feedback before submitting to CRAN 🧵

🌍 Which geospatial conferences are you excited about in 2026? I'm compiling a list at github.com/Nowosad/conf... -- please contribute events you know about! What am I missing? #GIS #RemoteSensing #SpatialData #GISchat

🚀 From soil to space (and back) : PhD position using satellites & ML to study peatland carbon flux. Based in Münster, with research stays in Enschede. 📅 Apply before 15 Sept 2025 🔗 stellen.uni-muenster.de/jobposting/1... #RemoteSensing #PhD #ClimateResearch #Peatlands

Making my own map for our homeschool classroom because all the maps available to buy online are wanting. A bespoke approach lets me make decisions that mass producers won't, such as use other projections besides Mercator and make sure Palestine is included. Super impressed with {tmap}'s API & docs!

Maybe a little nerdy for some but also a fantastic intro to #rspatial for those that want to learn...

🪡 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! www.routledge.com/contacts/cus... #rstats #rspatial

A wise summary of an excellent resource. One of the greatest challenges is knowing what packages and functions to use. Enabling more people to have the awareness of an expert is one are of future development. I am a fan of what the Tidyverse has brought to the adhoc and approaches to R packages.

Chapter 16: Summary & Future of Geocomputation 🚀📖 What’s next? 📌 This final chapter reflects on key themes, gaps, and the future of geocomputation. Crucially, learn how to contribute to open-source spatial communities! 🔗 r.geocompx.org/conclusion #rstats #rspatial #geocompx

Check out "Scaling the r-spatial ecosystem" by Dewey Dunnington 🌍📦 An exploration of how R’s spatial tools can be used for big(ger) data. Video: youtu.be/tjNEoIYr_ag?... Slides: dewey.dunnington.ca/slides/rspat... #RStats #rspatial #GIS #SpatialData

Chapter 15: Ecological Modeling & Geocomputation 🌱🗺️ Modeling the floristic gradient to reveal distinctive vegetation belts! 📌 Learn spatial modeling techniques with random forests & hyperparameter tuning to analyze ecological data in R. 🔗 r.geocompx.org/eco #rstats #rspatial #geocompx

New R package: rgeomorphon 📦 by Andrew Brown Classifies terrain forms using a parallel C++ implementation of the geomorphon algorithm. 🔗 github.com/brownag/rgeo... #RStats #GIS #TerrainAnalysis #RemoteSensing #RSpatial

Chapter 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. 🔗 r.geocompx.org/location #rstats #rspatial #geocompx

Have 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: www.goodreads.com/book/show/21... Amazon: www.amazon.com/dp/1032248882 Book: r.geocompx.org #rstats #gis #geocompx #rspatial

Chapter 13: Transport Systems Analysis 🚶🚴🚌 Model transport networks! 📌 Analyze travel patterns, desire lines, routes, and accessibility using open data and reproducible geospatial workflows in R. 🔗 r.geocompx.org/transport #rstats #rspatial #geocompx

🌲 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: cidree.github.io/forestdata/ #rstats #rspatial #forestry #landcover

Chapter 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. 🔗 r.geocompx.org/spatial-cv #rstats #rspatial #geocompx

New R package alert: 📦 mbg for model-based geostatistics Run spatial ML & geostatistical models to estimate continuous surfaces from point data + raster covariates. Built on sf, terra, data.table, caret, and R-INLA. cran.r-project.org/package=mbg #rspatial #rstats #geostatistics

🚨 Final part of our Spatial ML with R series ! 🚨 We explore spatial cross-validation with sperrorest & blockCV — tools outside the usual ML frameworks 📦 URL: geocompx.org/post/2025/sm... #rstats #SpatialML #rspatial

🚨 Call for Papers – Deadline Extended! Contribute to the Special Issue on Machine Learning in Geography – Challenges & Perspectives 🌍🤖 🔗 www.erdkunde.uni-bonn.de/announcement... #GeoAI #MachineLearning #Geography #CFP

Chapter 11: Writing Geoalgorithms 💻🧩🔁 Focuses on developing reusable and reproducible code for spatial tasks in R. Demonstrates algorithm design using examples like calculating polygon centroids. 🔗 r.geocompx.org/algorithms #rstats #rspatial #geocompx

This is going to be epic from James Cheshire libraryoflostmaps.com

🪡 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! www.routledge.com/contacts/cus... #rstats #rspatial

RaukR is an #rstats summer school (~1.5 weeks) I've taught at a few times. Highly recommended for content (of course I'm biased 😁), smooth organization, and an amazing location (Visby 🏰 on the island of Gotland in Sweden 🇸🇪). Intrigued? Sign up to get notified when RaukR 2026 opens for registration.

Can't make the workshops, or not looking for paid training at this time? I have tons of free vignettes to help you get started: tidycensus: walker-data.com/tidy... mapgl: walker-data.com/mapgl Census book: walker-data.com/cens...

Applying for a MSCA Postdoctoral Fellowship? I’ve written about my experience: 📄 The application process: jakubnowosad.com/posts/2024-0... 📊 8 months into the project: jakubnowosad.com/posts/2025-0... Hope it's useful! #MSCA #Postdoc #HorizonEurope

Chapter 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. 🔗 r.geocompx.org/gis #rstats #rspatial #geocompx

this week in #rstats 🕺 - spatialML pkgs 🌐 @jakubnowosad.com - {futureverse} 🔮 @henrikbengtsson.bsky.social - file-opening code 📂 @masalmon.eu - {mirai} 🚅 @shikokuchuo.net - Quarto speaker notes 🗣️ @rfortherestofus.com this and more below! 🔥 #news #quarto #data www.linkedin.com/pulse/week-r...

Great new resource from Roger Bivand (NHH, June 2024): slides on spatial econometrics and ML for economic & social research. URL: rsbivand.github.io/nem24_talk/b... #Geospatial #Econometrics #ML #GISchat

🚀 New blog post! Part 5 of our series on spatial ML with #RStats explores specialized packages: RandomForestsGLS, spatialRF, and meteo -- tools beyond caret, tidymodels, & mlr3. URL: geocompx.org/post/2025/sm... #SpatialML #RSpatial #MachineLearning

📍 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. 🔗 forms.gle/E9fpG88V2VQQ... -- Apply for on-site by mid-July – limited spots. #SDSL2025 #SpatialDataScience #OpenSource

Chapter 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. 🔗 r.geocompx.org/adv-map #rstats #rspatial #geocompx

ICYMI githistory.xyz is a great way to navigate #git commits and visualise how a file has been changing across commits Just replace github.com with github.githistory.xyz in the URL and enjoy! #rstats

We’re happy to see the first review of Geocomputation with Python — thanks to everyone reading and sharing! Read about the project: 🔗 geocompx.org/post/2025/ge... #geocompy #python #geocomputation #gischat

Next week I’ll be at the LPS conference in Vienna! 🌍🛰️ If you’re around and would like to meet up to chat about geocomputation, open science, or anything related, let me know! #LPS2025 #OpenScience #GeoComputation #GISchat

Chapter 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. 🔗 r.geocompx.org/read-write #rstats #rspatial #geocompx

See you next year in Tartu for #AGILE2026

What's your favourite approach to map relationships among functions in a #rstats package? I really like github.com/kcf-jackson/..., e.g. here is the function map for {grateful} package

📍 I gave a talk on measuring spatial autocorrelation in spatial machine learning at the #AGILE0GI conference. Slides: jakubnowosad.com/agile-gi2025/ Always glad to discuss spatial ML or autocorrelation --- feel free to reach out! #rstats #rspatial #gischat #machinelearning