#spatialdatascience — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #spatialdatascience, aggregated by home.social.
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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 -
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 -
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 -
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 -
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 -
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/10.1145/3809183Still planning to put the essential explanations into the template to make it easier to use without consulting the paper 👩💻
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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/10.1145/3809183Still planning to put the essential explanations into the template to make it easier to use without consulting the paper 👩💻
-
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/10.1145/3809183Still planning to put the essential explanations into the template to make it easier to use without consulting the paper 👩💻
-
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/10.1145/3809183Still planning to put the essential explanations into the template to make it easier to use without consulting the paper 👩💻
-
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 -
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 -
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 -
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 -
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 -
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
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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
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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
-
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
-
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
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RE: https://mastodon.social/@xlth/116144192667591833
Not the ideal conditions for geospatial applications of VLMs 😅
#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience
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RE: https://mastodon.social/@xlth/116144192667591833
Not the ideal conditions for geospatial applications of VLMs 😅
#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience
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RE: https://mastodon.social/@xlth/116144192667591833
Not the ideal conditions for geospatial applications of VLMs 😅
#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience
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RE: https://mastodon.social/@xlth/116144192667591833
Not the ideal conditions for geospatial applications of VLMs 😅
#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience
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RE: https://mastodon.social/@xlth/116144192667591833
Not the ideal conditions for geospatial applications of VLMs 😅
#GIScience #VLM #spatiotemporal #MobilityDataScience #SpatialDataScience
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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
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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
-
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
-
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
-
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
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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
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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, 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, 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
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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:
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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:
-
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:
-
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:
-
What do you wish Data Scientists knew about spatial?
I'll be at #PyDataParis next week to spread the word
#GISChat #Python #DataScience #SpatialDataScience #PyData #Paris
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What do you wish Data Scientists knew about spatial?
I'll be at #PyDataParis next week to spread the word
#GISChat #Python #DataScience #SpatialDataScience #PyData #Paris
-
What do you wish Data Scientists knew about spatial?
I'll be at #PyDataParis next week to spread the word
#GISChat #Python #DataScience #SpatialDataScience #PyData #Paris
-
What do you wish Data Scientists knew about spatial?
I'll be at #PyDataParis next week to spread the word
#GISChat #Python #DataScience #SpatialDataScience #PyData #Paris
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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
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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
-
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
-
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