Jakub Nowosad
@jakubnowosad.com
Computational geographer. Associate Professor at AMU, Poznan, Poland. Co-author of http://r.geocompx.org, http://py.geocompx.org, and http://tmap.geocompx.org books. #rstats #rspatial #geocompx
https://jakubnowosad.com/
https://jakubnowosad.com/
Honored and excited to be part of useR! 2026
I will give a keynote on geocomputation and spatial data science in R.
📅 6–9 Jul 2026, Warsaw, Poland
🔗 user2026.r-project.org
Let’s make this event spatial!
#useR2026 #RStats #RSpatial #Geocompr
I will give a keynote on geocomputation and spatial data science in R.
📅 6–9 Jul 2026, Warsaw, Poland
🔗 user2026.r-project.org
Let’s make this event spatial!
#useR2026 #RStats #RSpatial #Geocompr
February 8, 2026 at 4:02 PM
Honored and excited to be part of useR! 2026
I will give a keynote on geocomputation and spatial data science in R.
📅 6–9 Jul 2026, Warsaw, Poland
🔗 user2026.r-project.org
Let’s make this event spatial!
#useR2026 #RStats #RSpatial #Geocompr
I will give a keynote on geocomputation and spatial data science in R.
📅 6–9 Jul 2026, Warsaw, Poland
🔗 user2026.r-project.org
Let’s make this event spatial!
#useR2026 #RStats #RSpatial #Geocompr
Reposted by Jakub Nowosad
Submission deadline approaching for "Coding Earth – open-source solutions in Physical Geography"
We look forward to submissions on open-source methods and tools in geography.
⏳ Deadline: 1 Mar 2026
🔗 journals.sagepub.com/home/ppg
#OpenSource #Geography #RStats #Python #Julia
We look forward to submissions on open-source methods and tools in geography.
⏳ Deadline: 1 Mar 2026
🔗 journals.sagepub.com/home/ppg
#OpenSource #Geography #RStats #Python #Julia
February 4, 2026 at 4:01 PM
Submission deadline approaching for "Coding Earth – open-source solutions in Physical Geography"
We look forward to submissions on open-source methods and tools in geography.
⏳ Deadline: 1 Mar 2026
🔗 journals.sagepub.com/home/ppg
#OpenSource #Geography #RStats #Python #Julia
We look forward to submissions on open-source methods and tools in geography.
⏳ Deadline: 1 Mar 2026
🔗 journals.sagepub.com/home/ppg
#OpenSource #Geography #RStats #Python #Julia
Submission deadline approaching for "Coding Earth – open-source solutions in Physical Geography"
We look forward to submissions on open-source methods and tools in geography.
⏳ Deadline: 1 Mar 2026
🔗 journals.sagepub.com/home/ppg
#OpenSource #Geography #RStats #Python #Julia
We look forward to submissions on open-source methods and tools in geography.
⏳ Deadline: 1 Mar 2026
🔗 journals.sagepub.com/home/ppg
#OpenSource #Geography #RStats #Python #Julia
February 4, 2026 at 4:01 PM
Submission deadline approaching for "Coding Earth – open-source solutions in Physical Geography"
We look forward to submissions on open-source methods and tools in geography.
⏳ Deadline: 1 Mar 2026
🔗 journals.sagepub.com/home/ppg
#OpenSource #Geography #RStats #Python #Julia
We look forward to submissions on open-source methods and tools in geography.
⏳ Deadline: 1 Mar 2026
🔗 journals.sagepub.com/home/ppg
#OpenSource #Geography #RStats #Python #Julia
R Coding for Ecology chapter on cblindplotR 🎨
Shows how to create colourblind-friendly maps and visualizations in R.
doi.org/10.1007/978-...
#RStats #DataViz #Accessibility #OpenScience #RSpatial
Shows how to create colourblind-friendly maps and visualizations in R.
doi.org/10.1007/978-...
#RStats #DataViz #Accessibility #OpenScience #RSpatial
February 1, 2026 at 4:01 PM
R Coding for Ecology chapter on cblindplotR 🎨
Shows how to create colourblind-friendly maps and visualizations in R.
doi.org/10.1007/978-...
#RStats #DataViz #Accessibility #OpenScience #RSpatial
Shows how to create colourblind-friendly maps and visualizations in R.
doi.org/10.1007/978-...
#RStats #DataViz #Accessibility #OpenScience #RSpatial
New updates to Intro to GIS and Spatial Analysis by Manuel Gimond 🚀
The spatial analysis section now includes expanded coverage of spatial patterns.
Explore the update: mgimond.github.io/Spatial/chp1...
#GISchat #SpatialAnalysis #OpenEducation
The spatial analysis section now includes expanded coverage of spatial patterns.
Explore the update: mgimond.github.io/Spatial/chp1...
#GISchat #SpatialAnalysis #OpenEducation
January 28, 2026 at 4:03 PM
New updates to Intro to GIS and Spatial Analysis by Manuel Gimond 🚀
The spatial analysis section now includes expanded coverage of spatial patterns.
Explore the update: mgimond.github.io/Spatial/chp1...
#GISchat #SpatialAnalysis #OpenEducation
The spatial analysis section now includes expanded coverage of spatial patterns.
Explore the update: mgimond.github.io/Spatial/chp1...
#GISchat #SpatialAnalysis #OpenEducation
Reposted by Jakub Nowosad
Sorry I'm a few years late to the party, but I'm here finally! :) yihui.org/en/2026/01/h... Thank you all so much for your generous support over the past two years!
January 26, 2026 at 6:54 PM
Sorry I'm a few years late to the party, but I'm here finally! :) yihui.org/en/2026/01/h... Thank you all so much for your generous support over the past two years!
Reposted by Jakub Nowosad
spopt for R implements the Max-P-compact regions algorithm. Draw contiguous regions that optimize both for attribute similarity and compactness.
Shown here: regular Max-P with queen weights (left), Max-P-compact with rook weights (right)
Learn more: walker-data.com/spopt-r/arti...
Shown here: regular Max-P with queen weights (left), Max-P-compact with rook weights (right)
Learn more: walker-data.com/spopt-r/arti...
January 25, 2026 at 3:06 PM
spopt for R implements the Max-P-compact regions algorithm. Draw contiguous regions that optimize both for attribute similarity and compactness.
Shown here: regular Max-P with queen weights (left), Max-P-compact with rook weights (right)
Learn more: walker-data.com/spopt-r/arti...
Shown here: regular Max-P with queen weights (left), Max-P-compact with rook weights (right)
Learn more: walker-data.com/spopt-r/arti...
Reposted by Jakub Nowosad
Writing a GeoPackage(GPKG) library from scratch taught me a lot about some friction between the spec and the modern geospatial ecosystem🦀🌍
GPKG is SQLite. We take that for granted, but have you ever stopped to think about the advantages and disadvantages? Here’s my take.
dev.to/yutannihilat...
GPKG is SQLite. We take that for granted, but have you ever stopped to think about the advantages and disadvantages? Here’s my take.
dev.to/yutannihilat...
How it feels to write a GPKG library in 2026 (in Rust!)
There are a lot of existing libraries to deal with GeoPackage (GPKG). GDAL is the undisputed champion...
dev.to
January 24, 2026 at 5:19 AM
Writing a GeoPackage(GPKG) library from scratch taught me a lot about some friction between the spec and the modern geospatial ecosystem🦀🌍
GPKG is SQLite. We take that for granted, but have you ever stopped to think about the advantages and disadvantages? Here’s my take.
dev.to/yutannihilat...
GPKG is SQLite. We take that for granted, but have you ever stopped to think about the advantages and disadvantages? Here’s my take.
dev.to/yutannihilat...
Reposted by Jakub Nowosad
🗺️ We are running our new edition of Geospatial Data Carpentry for Urbanism next month (23 & 26 Feb) at TUD!
🙋 Join us to learn practical ways to handle Geospatial Data with R (import, analyse, plot, map & more!).
💻 @carpentries.carpentries.org @cforgaci.bsky.social @paulamartinezl.bsky.social
🙋 Join us to learn practical ways to handle Geospatial Data with R (import, analyse, plot, map & more!).
💻 @carpentries.carpentries.org @cforgaci.bsky.social @paulamartinezl.bsky.social
Geospatial Data Carpentry for Urbanism
www.tudelft.nl
January 22, 2026 at 10:17 AM
🗺️ We are running our new edition of Geospatial Data Carpentry for Urbanism next month (23 & 26 Feb) at TUD!
🙋 Join us to learn practical ways to handle Geospatial Data with R (import, analyse, plot, map & more!).
💻 @carpentries.carpentries.org @cforgaci.bsky.social @paulamartinezl.bsky.social
🙋 Join us to learn practical ways to handle Geospatial Data with R (import, analyse, plot, map & more!).
💻 @carpentries.carpentries.org @cforgaci.bsky.social @paulamartinezl.bsky.social
🗺️ fastfocal: fast moving-window and point extraction for rasters in R, optimized for large windows and common focal stats via FFT. Built on terra.
cran.r-project.org/package=fast...
#RStats #GIScience #RSpatial
cran.r-project.org/package=fast...
#RStats #GIScience #RSpatial
January 21, 2026 at 4:03 PM
🗺️ fastfocal: fast moving-window and point extraction for rasters in R, optimized for large windows and common focal stats via FFT. Built on terra.
cran.r-project.org/package=fast...
#RStats #GIScience #RSpatial
cran.r-project.org/package=fast...
#RStats #GIScience #RSpatial
Reposted by Jakub Nowosad
Back from holiday and it's finally time to post about this. I am taking on a section editor role for the new diamond open access journal Biogeography, put together by @biogeographyjfab.bsky.social. That means that it's free to publish and free to read. (thread)
biog.journals.sup.org/index.php/bi...
biog.journals.sup.org/index.php/bi...
Biogeography
Biogeography is an academic-owned, diamond Open Access journal, published by the academic, non-profit, Stanford University Press (SUP), using the Public Knowledge Project’s Open Journal Systems platfo...
biog.journals.sup.org
January 20, 2026 at 2:48 AM
Back from holiday and it's finally time to post about this. I am taking on a section editor role for the new diamond open access journal Biogeography, put together by @biogeographyjfab.bsky.social. That means that it's free to publish and free to read. (thread)
biog.journals.sup.org/index.php/bi...
biog.journals.sup.org/index.php/bi...
Reposted by Jakub Nowosad
#statstab #466 {grateful} Facilitate citation of R packages
Thoughts: Great little package to easily cite all the packages you use in a script. (doesn't cite itself unless you ask it)
#rstats #r #packages #acknowledgement #credit #quarto
pakillo.github.io/grateful/ind...
Thoughts: Great little package to easily cite all the packages you use in a script. (doesn't cite itself unless you ask it)
#rstats #r #packages #acknowledgement #credit #quarto
pakillo.github.io/grateful/ind...
Facilitate Citation of R Packages
Facilitates the citation of R packages used in analysis projects. Scans project for packages used, gets their citations, and produces a document with citations in the preferred bibliography format, re...
pakillo.github.io
January 19, 2026 at 1:51 PM
#statstab #466 {grateful} Facilitate citation of R packages
Thoughts: Great little package to easily cite all the packages you use in a script. (doesn't cite itself unless you ask it)
#rstats #r #packages #acknowledgement #credit #quarto
pakillo.github.io/grateful/ind...
Thoughts: Great little package to easily cite all the packages you use in a script. (doesn't cite itself unless you ask it)
#rstats #r #packages #acknowledgement #credit #quarto
pakillo.github.io/grateful/ind...
Reposted by Jakub Nowosad
Interested in satellite image time series? version 1.5.4 of the open source SITS package is available on CRAN and conda-forge. An end-to-end solution for LUCC mapping of big Earth observation, with APIs in R and Python. Online book available (e-sensing.github.io/sitsbook/)
LinkedIn
This link will take you to a page that’s not on LinkedIn
lnkd.in
January 19, 2026 at 1:05 PM
Interested in satellite image time series? version 1.5.4 of the open source SITS package is available on CRAN and conda-forge. An end-to-end solution for LUCC mapping of big Earth observation, with APIs in R and Python. Online book available (e-sensing.github.io/sitsbook/)
Reposted by Jakub Nowosad
Jakub, @nowosad.fosstodon.org.ap.brid.gy you got some press!
WATCH: @chrislhayes.bsky.social's map-based theory of Trump’s Greenland obsession.
January 15, 2026 at 2:24 AM
Jakub, @nowosad.fosstodon.org.ap.brid.gy you got some press!
New R Coding for Ecology chapter on measuring landscape patterns with landscapemetrics and motif 📊🌍
doi.org/10.1007/978-...
Preprint: doi.org/10.48550/arX...
Code: github.com/Nowosad/land...
#LandscapeEcology #RSpatial #GIS
doi.org/10.1007/978-...
Preprint: doi.org/10.48550/arX...
Code: github.com/Nowosad/land...
#LandscapeEcology #RSpatial #GIS
January 18, 2026 at 4:01 PM
New R Coding for Ecology chapter on measuring landscape patterns with landscapemetrics and motif 📊🌍
doi.org/10.1007/978-...
Preprint: doi.org/10.48550/arX...
Code: github.com/Nowosad/land...
#LandscapeEcology #RSpatial #GIS
doi.org/10.1007/978-...
Preprint: doi.org/10.48550/arX...
Code: github.com/Nowosad/land...
#LandscapeEcology #RSpatial #GIS
Reposted by Jakub Nowosad
📙An interesting paper on spatial data science languages
We just published a JOSIS paper on what spatial data science languages have in common and what they still need. Insights from across the R, Python & Julia ecosystems.
URL: doi.org/10.5311/JOSI...
#SpatialDataScience #GISchat #OpenSource #RSpatial #GeoPython #JuliaGeo
URL: doi.org/10.5311/JOSI...
#SpatialDataScience #GISchat #OpenSource #RSpatial #GeoPython #JuliaGeo
January 12, 2026 at 10:02 AM
📙An interesting paper on spatial data science languages
Reposted by Jakub Nowosad
"GeoJSON specification prescribes to handle all geodetic coordinates as Cartesian in the rectangle bound by POINT(x=−180 y=−90) and POINT(x= 180 y= 90)...and one wonders how many users of GeoJSON are aware of these explicit intentions."
I was not aware of these explicit intentions 🤔
I was not aware of these explicit intentions 🤔
We just published a JOSIS paper on what spatial data science languages have in common and what they still need. Insights from across the R, Python & Julia ecosystems.
URL: doi.org/10.5311/JOSI...
#SpatialDataScience #GISchat #OpenSource #RSpatial #GeoPython #JuliaGeo
URL: doi.org/10.5311/JOSI...
#SpatialDataScience #GISchat #OpenSource #RSpatial #GeoPython #JuliaGeo
January 11, 2026 at 5:30 PM
"GeoJSON specification prescribes to handle all geodetic coordinates as Cartesian in the rectangle bound by POINT(x=−180 y=−90) and POINT(x= 180 y= 90)...and one wonders how many users of GeoJSON are aware of these explicit intentions."
I was not aware of these explicit intentions 🤔
I was not aware of these explicit intentions 🤔
We just published a JOSIS paper on what spatial data science languages have in common and what they still need. Insights from across the R, Python & Julia ecosystems.
URL: doi.org/10.5311/JOSI...
#SpatialDataScience #GISchat #OpenSource #RSpatial #GeoPython #JuliaGeo
URL: doi.org/10.5311/JOSI...
#SpatialDataScience #GISchat #OpenSource #RSpatial #GeoPython #JuliaGeo
January 11, 2026 at 4:01 PM
We just published a JOSIS paper on what spatial data science languages have in common and what they still need. Insights from across the R, Python & Julia ecosystems.
URL: doi.org/10.5311/JOSI...
#SpatialDataScience #GISchat #OpenSource #RSpatial #GeoPython #JuliaGeo
URL: doi.org/10.5311/JOSI...
#SpatialDataScience #GISchat #OpenSource #RSpatial #GeoPython #JuliaGeo
Reposted by Jakub Nowosad
Announcing spopt-r: spatial optimization for regionalization, facility location, and market analysis in R.
My all-time favorite Python package is PySAL's spopt - and until now, it did not have an R equivalent.
Get started here: walker-data.com/spopt-r
My all-time favorite Python package is PySAL's spopt - and until now, it did not have an R equivalent.
Get started here: walker-data.com/spopt-r
January 7, 2026 at 1:46 PM
Announcing spopt-r: spatial optimization for regionalization, facility location, and market analysis in R.
My all-time favorite Python package is PySAL's spopt - and until now, it did not have an R equivalent.
Get started here: walker-data.com/spopt-r
My all-time favorite Python package is PySAL's spopt - and until now, it did not have an R equivalent.
Get started here: walker-data.com/spopt-r
🗺️ In his blog post, David O’Sullivan outlines an approach for dividing New Zealand into four regions with identical population counts.
URL: dosull.github.io/posts/2025-0...
#Geospatial #PopulationAnalysis #RSpatial #RStats
URL: dosull.github.io/posts/2025-0...
#Geospatial #PopulationAnalysis #RSpatial #RStats
January 7, 2026 at 3:03 PM
🗺️ In his blog post, David O’Sullivan outlines an approach for dividing New Zealand into four regions with identical population counts.
URL: dosull.github.io/posts/2025-0...
#Geospatial #PopulationAnalysis #RSpatial #RStats
URL: dosull.github.io/posts/2025-0...
#Geospatial #PopulationAnalysis #RSpatial #RStats
Reposted by Jakub Nowosad
✨What’s new in geocomputation this year?
The #geocompx 2025 update covers project milestones, current work, and future plans.
URL: geocompx.org/post/2025/up...
#rstats #rspatial #geopython
The #geocompx 2025 update covers project milestones, current work, and future plans.
URL: geocompx.org/post/2025/up...
#rstats #rspatial #geopython
December 21, 2025 at 2:00 PM
✨What’s new in geocomputation this year?
The #geocompx 2025 update covers project milestones, current work, and future plans.
URL: geocompx.org/post/2025/up...
#rstats #rspatial #geopython
The #geocompx 2025 update covers project milestones, current work, and future plans.
URL: geocompx.org/post/2025/up...
#rstats #rspatial #geopython
Introducing gdalcli by Andrew Brown -- an R frontend to GDAL’s unified CLI (≥3.11) 🌐
Compose and execute GDAL workflows with pipe-friendly functions.
Learn more: github.com/brownag/gdal...
#RStats #GDAL #Geospatial #OpenSource #RSpatial
Compose and execute GDAL workflows with pipe-friendly functions.
Learn more: github.com/brownag/gdal...
#RStats #GDAL #Geospatial #OpenSource #RSpatial
GitHub - brownag/gdalcli: An R Frontend for the GDAL CLI
An R Frontend for the GDAL CLI. Contribute to brownag/gdalcli development by creating an account on GitHub.
github.com
January 4, 2026 at 3:01 PM
Introducing gdalcli by Andrew Brown -- an R frontend to GDAL’s unified CLI (≥3.11) 🌐
Compose and execute GDAL workflows with pipe-friendly functions.
Learn more: github.com/brownag/gdal...
#RStats #GDAL #Geospatial #OpenSource #RSpatial
Compose and execute GDAL workflows with pipe-friendly functions.
Learn more: github.com/brownag/gdal...
#RStats #GDAL #Geospatial #OpenSource #RSpatial
Reposted by Jakub Nowosad
Working with big spatial data sets in #rstats? You should try {duckspatial}. The dev version of #duckspatial (soon on CRAN) uses #duckdb to perform super fast and memory efficient spatial operations cidree.github.io/duckspatial/...
In a benchmark against, {sf}....
In a benchmark against, {sf}....
December 30, 2025 at 5:28 PM
Working with big spatial data sets in #rstats? You should try {duckspatial}. The dev version of #duckspatial (soon on CRAN) uses #duckdb to perform super fast and memory efficient spatial operations cidree.github.io/duckspatial/...
In a benchmark against, {sf}....
In a benchmark against, {sf}....
New in the spatial toolbox: {spdgp} 🔧
Generate data for SEM, SAR, SLX, SARAR, Durbin, GNM, MESS, and other spatial regression models.
github.com/JosiahParry/...
#RStats #GIS #SpatialMethods
Generate data for SEM, SAR, SLX, SARAR, Durbin, GNM, MESS, and other spatial regression models.
github.com/JosiahParry/...
#RStats #GIS #SpatialMethods
December 30, 2025 at 3:03 PM
New in the spatial toolbox: {spdgp} 🔧
Generate data for SEM, SAR, SLX, SARAR, Durbin, GNM, MESS, and other spatial regression models.
github.com/JosiahParry/...
#RStats #GIS #SpatialMethods
Generate data for SEM, SAR, SLX, SARAR, Durbin, GNM, MESS, and other spatial regression models.
github.com/JosiahParry/...
#RStats #GIS #SpatialMethods
The spcosa package provides an R framework for spatial coverage sampling.
Explore examples at git.wur.nl/Walvo001/spc...
#Rstats #RSpatial #GIS #SpatialStatistics
Explore examples at git.wur.nl/Walvo001/spc...
#Rstats #RSpatial #GIS #SpatialStatistics
December 22, 2025 at 2:03 PM
The spcosa package provides an R framework for spatial coverage sampling.
Explore examples at git.wur.nl/Walvo001/spc...
#Rstats #RSpatial #GIS #SpatialStatistics
Explore examples at git.wur.nl/Walvo001/spc...
#Rstats #RSpatial #GIS #SpatialStatistics