made a quick interactive map of building heights in toronto (2025 data)
big fan of tippecanoe->pmtiles->maplibre->github pages workflow, can pretty easily take a ~300mb .shp like this and render it all in-browser (no fancy db, server, or saas hosting)
https://schoolofcities.github.io/toronto-buildings/heights-2025
made a quick interactive map of building heights in toronto (2025 data)
big fan of tippecanoe->pmtiles->maplibre->github pages workflow, can pretty easily take a ~300mb .shp like this and render it all in-browser (no fancy db, server, or saas hosting)
https://schoolofcities.github.io/toronto-buildings/heights-2025
Hi #OGC (or anybody who knows the answer).
Is there any OGC API that works with a COG?(Cloud Optimized GeoTIFF)
in https://ogcapi.ogc.org/#standards I see OGC Tiles (similar to WMTS) and OGC Maps (similar to WMS), but no way to use a simple COG.
I know I can make a service to provide WMTS reading a COG, but I want to avoid that service. I want to work directly with the GeoTIFF file(s).
Thanks.
Hi #OGC (or anybody who knows the answer).
Is there any OGC API that works with a COG?(Cloud Optimized GeoTIFF)
in https://ogcapi.ogc.org/#standards I see OGC Tiles (similar to WMTS) and OGC Maps (similar to WMS), but no way to use a simple COG.
I know I can make a service to provide WMTS reading a COG, but I want to avoid that service. I want to work directly with the GeoTIFF file(s).
Thanks.
A small rediscovery from my archive.
In June 2023, during Alberta’s extreme wildfire season, I created a day-by-day animation using NASA FIRMS fire-hotspot data.
The animation shows how quickly ignition points spread across the province — almost like watching the forest "breathe fire" in slow motion.
It didn’t get much attention on LinkedIn… but this feels like the right place to share it again.
If you’re into remote sensing, wildfire monitoring, or environmental analytics — this one might be interesting.
#Wildfire #Alberta #Canada #RemoteSensing #EarthObservation #NASA #FIRMS #ClimateCrisis #EnvironmentalScience #GIS #RStats #DataViz #SciComm #FOSS #BorealForest #Taiga
A small rediscovery from my archive.
In June 2023, during Alberta’s extreme wildfire season, I created a day-by-day animation using NASA FIRMS fire-hotspot data.
The animation shows how quickly ignition points spread across the province — almost like watching the forest "breathe fire" in slow motion.
It didn’t get much attention on LinkedIn… but this feels like the right place to share it again.
If you’re into remote sensing, wildfire monitoring, or environmental analytics — this one might be interesting.
#Wildfire #Alberta #Canada #RemoteSensing #EarthObservation #NASA #FIRMS #ClimateCrisis #EnvironmentalScience #GIS #RStats #DataViz #SciComm #FOSS #BorealForest #Taiga
🗺️ Day 13 — #30DayMapChallenge | 10 Minute Map
Today’s theme was all about speed: create a full map in just 10 minutes. ⏱️
I put together a quick Melbourne land-use map, showing how residential areas, parks, industrial zones, and transport corridors shape the city. Even in a fast workflow, the spatial patterns come through so clearly.
#GIS #Geospatial #Mapping #Cartography #Mapston #30DayMapChallenge #Melbourne #Australia
🗺️ Day 13 — #30DayMapChallenge | 10 Minute Map
Today’s theme was all about speed: create a full map in just 10 minutes. ⏱️
I put together a quick Melbourne land-use map, showing how residential areas, parks, industrial zones, and transport corridors shape the city. Even in a fast workflow, the spatial patterns come through so clearly.
#GIS #Geospatial #Mapping #Cartography #Mapston #30DayMapChallenge #Melbourne #Australia
🫐 The Blueberry Map Experiment — modelling meets the mountains
In 2022, while living with my family in the Czech Republic, I built a digital map of wild blueberry hotspots in the Jizera Mountains.
At first, it looked like a fun summer project — our neighbors used the map to find the best berry spots and enjoy the landscape.
But behind it was a serious experiment: I tested species distribution modelling (SDM) methods, later adapted for wide-world rare earth element prediction.
Within this “blueberry project” I:
🔹 automated the full spatial workflow in R and QGIS,
🔹 generated geomorphons and other terrain-based predictors,
🔹 built and validated ML models,
🔹 created probability maps and tested them in the field.
✨ What started as a family hobby became a field-tested workflow for predictive geoscience.
#DataScience #MachineLearning #GIS #SpatialModeling #SDM #CzechRepublic #RemoteSensing #Geoscience #RStats #EnvironmentalData #PredictiveMapping #LandscapeEcology #RareEarthElements #CriticalMinerals
🫐 The Blueberry Map Experiment — modelling meets the mountains
In 2022, while living with my family in the Czech Republic, I built a digital map of wild blueberry hotspots in the Jizera Mountains.
At first, it looked like a fun summer project — our neighbors used the map to find the best berry spots and enjoy the landscape.
But behind it was a serious experiment: I tested species distribution modelling (SDM) methods, later adapted for wide-world rare earth element prediction.
Within this “blueberry project” I:
🔹 automated the full spatial workflow in R and QGIS,
🔹 generated geomorphons and other terrain-based predictors,
🔹 built and validated ML models,
🔹 created probability maps and tested them in the field.
✨ What started as a family hobby became a field-tested workflow for predictive geoscience.
#DataScience #MachineLearning #GIS #SpatialModeling #SDM #CzechRepublic #RemoteSensing #Geoscience #RStats #EnvironmentalData #PredictiveMapping #LandscapeEcology #RareEarthElements #CriticalMinerals
We have to assume it: most of the potential sponsors for #GDAL are not in Mastodon, but in LinkedIn
@gdal is there as well: https://www.linkedin.com/company/gdalorg
Did you know you can now add an address to OpenStreetMap directly from the CoMaps editor?
Contributing info is easier than ever:
Every address improves navigation and discovery for millions of people worldwide.
Get started today:
1) Tap ‘Add Place to OpenStreetMap’ and select point of address
2) Select the ‘Address’ Category
3) Enter the address and tap 'Save'
Your small edit can make a big difference!
#OpenStreetMap #MappingCommunity #GIS #CrowdsourcedData #DigitalCartography
Dependencies and reverse dependencies: Python vs. R: Julie Tibshirani reflects on how the #R ecosystem uniquely manages dependencies through reverse dependency checks on #CRAN. R’s approach comes at a cost to developers, but also fosters a culture of empathy and responsibility among package...
https://spatialists.ch/posts/2025/09/26-dependencies-and-reverse-dependencies-python-vs-r/ #GIS #GISchat #geospatial #SwissGIS
Did you know you can now add an address to OpenStreetMap directly from the CoMaps editor?
Contributing info is easier than ever:
Every address improves navigation and discovery for millions of people worldwide.
Get started today:
1) Tap ‘Add Place to OpenStreetMap’ and select point of address
2) Select the ‘Address’ Category
3) Enter the address and tap 'Save'
Your small edit can make a big difference!
#OpenStreetMap #MappingCommunity #GIS #CrowdsourcedData #DigitalCartography
Dependencies and reverse dependencies: Python vs. R: Julie Tibshirani reflects on how the #R ecosystem uniquely manages dependencies through reverse dependency checks on #CRAN. R’s approach comes at a cost to developers, but also fosters a culture of empathy and responsibility among package...
https://spatialists.ch/posts/2025/09/26-dependencies-and-reverse-dependencies-python-vs-r/ #GIS #GISchat #geospatial #SwissGIS
Hey Mapping Fam, Geohipster is seeking map contributions for their 2026 GeoHipster calendar. They aren't on Masto, but you can get more info here https://www.geohipster.com/2026-geohipster-calendar/
#cartography#gis #gischat #mapping #mapstodon #calendar #geohipster
Hey Mapping Fam, Geohipster is seeking map contributions for their 2026 GeoHipster calendar. They aren't on Masto, but you can get more info here https://www.geohipster.com/2026-geohipster-calendar/
#cartography#gis #gischat #mapping #mapstodon #calendar #geohipster
