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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · 4h

New blog post by Adam Steer: Identifying deformed sea ice using geomorphons ❄️🌊

Exploring sea ice as a landscape analysis problem with QGIS + GRASS GIS, using drone + lidar data.

👉 https://www.spatialised.net/identifying-deformed-sea-ice-using-geomorphons/

#geospatial #rstats #rspatial #gischat

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · 3d

Starting out with geographic data in Python? 🌍🐍

Chapter 1 of Geocomputation with Python introduces vector & raster models + core tools (geopandas, shapely, rasterio).

👉 https://py.geocompx.org/01-spatial-data

#geopython #python #gischat

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · 7d

New post by David O’Sullivan:

“Raster really is faster (and vaster), but vector just seems more corrector.”

Part 1A of a series revisiting ideas from Geographic Information Analysis: fractals, raster vs vector, and R code.

👉 […]

[Original post on fosstodon.org]

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Reposted by Jakub Nowosad

Hans van der Kwast @qwast-gis.com · 10d

🎥 I've published a video based on my #geomobNL talk in Eindhoven on 18 Sept on #digitalsovereignty & #opensource for geo, covering procurement, policy, and community-driven development.

Watch here: youtu.be/0u6tPM-USHY

💬 Feel free to share your comments.

Digital Sovereignty and Open Source Software for Geo

YouTube video by Hans van der Kwast

youtu.be

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Reposted by Jakub Nowosad

B H @barneyharris.sciences.social.ap.brid.gy · 12d

hivemind style question about spatial model sampling strategy: when modelling a highly spatially autocorrelated response such as the one shown here, I found the only way to produce models with correctable spatial autocorrelation (using eigenvectors) in the […]

[Original post on sciences.social]

A map showing a response variable with various points used for sampling for a series of models.

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · 14d

🌍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 […]

[Original post on fosstodon.org]

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Reposted by Jakub Nowosad

Edzer Pebesma @edzer.mastodon.social.ap.brid.gy · 19d

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

Spatial Data Science across Languages

spatial-data-science.github.io

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · 23d

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

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · 24d

🚀 Book in progress: Spatial Data Visualization with tmap

A practical guide to creating clear thematic maps in R with the tmap package.
Covers everything from loading data to interactive and animated maps, with reproducible code and examples.

Read online […]

[Original post on fosstodon.org]

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · 28d

📢 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.

👉 https://github.com/kadyb/OGH2025

#rspatial #remotesensing #gischat

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · Sep 7

🌍 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

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · Sep 1

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: https://github.com/geocompx

#geocomputation #rstats #python #opensource #geocompx

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Reposted by Jakub Nowosad

Anita Graser 🇪🇺🇺🇦🇬🇪 @underdarkgis.fosstodon.org.ap.brid.gy · Aug 29

Spatial Data Science Symposium 2025 is announced. Check it out, it's hybrid!
http://sdss2025.spatial-data-science.net/index.html

Spatial Data Science Symposium 2025

December 4-5 | Distributed & Online. The symposium aims to bring together researchers from both academia and industry to discuss experiences, insights, methodologies, and applications, taking spatial and temporal knowledge into account while addressing their domain-specific problems.

sdss2025.spatial-data-science.net

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · Aug 27

📦 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*, & classification.

🔗 GitHub […]

[Original post on fosstodon.org]

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · Aug 20

🌍 Which geospatial conferences are you excited about in 2026?

I'm compiling a list at https://github.com/Nowosad/conferences_2026 -- please contribute events you know about!

What am I missing?

#gis #remotesensing #spatialdata #gischat

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · Aug 18

🚀 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

🔗 https://stellen.uni-muenster.de/jobposting/112b1672862ecf6f36fedb4835a68b8e4b77c78e0

#remotesensing #phd […]

Original post on fosstodon.org

fosstodon.org

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · Aug 10

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!

🔗 https://r.geocompx.org/conclusion

#rstats #rspatial #geocompx

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · Aug 6

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: https://youtu.be/tjNEoIYr_ag?feature=shared
Slides: https://dewey.dunnington.ca/slides/rspatial2025

#rstats #rspatial #gis #spatialdata

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · Aug 3

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.

🔗 https://r.geocompx.org/eco

#rstats #rspatial #geocompx

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · Jul 30

New R package: rgeomorphon 📦 by Andrew Brown

Classifies terrain forms using a parallel C++ implementation of the geomorphon algorithm.

🔗 https://github.com/brownag/rgeomorphon

#rstats #gis #terrainanalysis #remotesensing #rspatial

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · Jul 29

@erc_bk It may be (but it is probably impossible to guess). These relationships are v. complex and depend on the problem. Sometimes a proximity is essential (maybe with some weight), but also -- how to measure this proximity: as a straight line, along the roads, using transportation modes, etc...

Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · Jul 27

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.

🔗 https://r.geocompx.org/location

#rstats #rspatial #geocompx

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · Jul 23

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: https://www.goodreads.com/book/show/214736719-geocomputation-with-r
Amazon […]

[Original post on fosstodon.org]

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · Jul 20

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.

🔗 https://r.geocompx.org/transport

#rstats #rspatial #geocompx

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Jakub Nowosad @nowosad.fosstodon.org.ap.brid.gy · Jul 16

🌲 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: https://cidree.github.io/forestdata/

#rstats #rspatial #forestry #landcover

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