IOER FDZ Carto-Lab Docker v1.1.0 is released [1].

The main addition in this version is the integration of #JupyterGIS. It is a stunning project that brings a full web-based GIS suite directly into the Jupyter environment, complete with real-time collaborative editing for team projects [2].

I also expanded the documentation to cover advanced developer workflows. This includes new guides on persistent SSH client authentication for Git [3] and the templates I use for setting up automated, reproducible research pipelines [4].

Available via our Gitlab Chemnitz Registry (internal) and publicly via Quay.io:
https://quay.io/repository/ioer-fdz/carto-lab-docker?tab=info

#GIS #Jupyter #SpatialDataScience #ReproducibleResearch #Docker #RDM

@ioer

[1]: https://github.com/ioer-dresden/carto-lab-docker/releases/tag/v1.1.0
[2]: https://cartolab.fdz.ioer.info/jupytergis/
[3]: https://cartolab.fdz.ioer.info/use-cases/ssh-client-auth/
[4]: https://cartolab.fdz.ioer.info/use-cases/automated-research-setup/

@ioer

⏰️ Reminder: submission deadline for the Spatial Data Science Award is soon (May 31).

If you’re planning to nominate people contributing to geospatial open science, OSS development, and community building, now is the time to submit.

https://spatial-data-science.github.io/award.html

#SpatialDataScience #GISchat #OpenScience #FOSS4G

This is a reminder that the registration for SDSL 2026 is end of May.

You are developing tools for spatial data science?

Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

Connect R, Python, Julia & more in spatial science.

Apply for on-site participation till end of May 2026.

More infos: https://spatial-data-science.github.io/2026/

Register directly: https://survey.academiccloud.de/f/861612?lang=en

#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo

Spatial Data Science across Languages (SDSL) 2026

2026

This has been way too long in the making and it's finally out:

"Spatiotemporal Model Cards", basically a cheat sheet for documenting #GeoAI models so that you'll thank your past self when you circle back to your docs in the future

📋 Markdown template ... https://github.com/anitagraser/model-card-template
📝 #OpenAccess paper with all the details ... https://dl.acm.org/doi/abs/10.1145/3809183

Still planning to put the essential explanations into the template to make it easier to use without consulting the paper 👩‍💻

#SpatialDataScience

GitHub - anitagraser/model-card-template

Contribute to anitagraser/model-card-template development by creating an account on GitHub.

GitHub

You are developing tools for spatial data science?

Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.

Connect R, Python, Julia & more in spatial science.

Apply for on-site participation till end of May 2026.

More infos: https://spatial-data-science.github.io/2026/

Register directly: https://survey.academiccloud.de/f/861612?lang=en

#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo

Spatial Data Science across Languages (SDSL) 2026

2026

One more quick byproduct of my MDEM development: a bivariate map integrating volumetric structural data (SAR) with surface temperature (LST). This approach identifies the exceptionally intensive dissipative role of volumetric vegetation structure (trees and tall shrubs). By accounting for these high-performance cooling elements, we can better understand how they supplement traditional landscaping to enhance the city's overall thermal resilience.

#UrbanHeatIsland #EnvironmentalScience #DataScience #Calgary #YYC #Sustainability #RemoteSensing #GIS #MDEM #GreennessOfCalgary #CalgaryMDEM #RStats #UrbanPlanning #EarthObservation #OpenScience #SpatialDataScience #SpatialData

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: https://doi.org/10.5311/JOSIS.2025.31.462

#SpatialDataScience #GISchat #OpenSource #RSpatial #GeoPython #JuliaGeo

Multiple #QGIS plugins presented today at #SDSS2025  🥳

#GISChat #GIScience #SpatialDataScience

QGIS to (Geo)Pandas – part 3

The journey continues: QgsArrowIterator is now merged, making it possible to iterate over QgsFeatures as Arrow batches.

This is where we are now ... http://anitagraser.com/2025/12/03/qgis-to-geopandas-part-3/

#QGIS #GeoPandas #GISChat #SpatialDataScience #Arrow #Python

QGIS to (Geo)Pandas – part 3

The journey continues: QgsArrowIterator is now merged! This makes it possible to iterate over QgsFeatures as Arrow batches. This is where we are now, quoting Dewey Dunnington: import geopandas from…

Free and Open Source GIS Ramblings