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

๐Ÿ“‹ Markdown template ... https://github.com/anitagraser/model-card-template
๐Ÿ“ #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 ๐Ÿ‘ฉโ€๐Ÿ’ป

#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 โ€“ Sept 16โ€“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

RE: https://mastodon.social/@xlth/116144192667591833

Not the ideal conditions for geospatial applications of VLMs ๐Ÿ˜…

#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience

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  ๐Ÿฅณ

#GISChat #GIScience #SpatialDataScience

QGIS to (Geo)Pandas โ€“ 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 โ€“ 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 fromโ€ฆ

Free and Open Source GIS Ramblings

Getting a s***-ton of CSV files as input for spatial analysis can be a pain.

Yes, you can write a quick Python loop in the #QGIS console to load them but it's not a great workflow, imho.

The DuckDB read_csv function has been very convenient for this kind of ETL workflow:

https://fosstodon.org/@underdarkGIS/115362818847409548

#DuckDB #ETL #SpatialDataScience #DataScience

Anita Graser ๐Ÿ‡ช๐Ÿ‡บ๐Ÿ‡บ๐Ÿ‡ฆ๐Ÿ‡ฌ๐Ÿ‡ช (@[email protected])

From a bunch of csv files to a neat #SpatialAnalytics dataset: Step-by-step GeoLife #GPS track collection processing with #DuckDB, #QGIS & #Trajectools http://anitagraser.com/2025/10/12/geolife-gps-track-collection-processing-with-duckdb-qgis-trajectools/ #MovementDataAnalysis #MobilityDataAnalytics

Fosstodon

What do you wish Data Scientists knew about spatial?

I'll be at #PyDataParis next week to spread the word

https://pydata.org/paris2025

#GISChat #Python #DataScience #SpatialDataScience #PyData #Paris

PyData Paris 2025

PyData Paris 2025
Great discussions at #SDSL2025 about integrating #SpatialDataScience libraries in desktop and cloud environments, featuring @movingpandas , @qgis #Trajectools and the @carto Trajectory Analytics extension from the @emeraldseu project