Kempegowda International Airport - Bangalore, India
https://en.wikipedia.org/wiki/Kempegowda_International_Airport
https://www.openstreetmap.org/#map=13/13.197900/77.706299
#VOBL #BLR #Bangalore #India #airport #aviation #avgeeks #GIS
Kempegowda International Airport - Bangalore, India
https://en.wikipedia.org/wiki/Kempegowda_International_Airport
https://www.openstreetmap.org/#map=13/13.197900/77.706299
#VOBL #BLR #Bangalore #India #airport #aviation #avgeeks #GIS
Eppley Airfield - Omaha, United States
https://en.wikipedia.org/wiki/Eppley_Airfield
https://www.openstreetmap.org/#map=13/41.303200/-95.894096
#KOMA #OMA #Omaha #UnitedStates #airport #aviation #avgeeks #GIS
Detroit Metropolitan Wayne County Airport - Detroit, United States
https://en.wikipedia.org/wiki/Detroit_Metropolitan_Wayne_County_Airport
https://www.openstreetmap.org/#map=13/42.213770/-83.353786
#KDTW #DTW #Detroit #UnitedStates #airport #aviation #avgeeks #GIS

The canton of Berne has launched a #chatbot on their geoinformation portal that lets users ask questions about available cantonal #geodata and its #metadata in natural language — in German, French, English, and more. It is not (yet?) a ‘talk to the map’ solution, but a discovery tool for navigating the website and finding data.
Day 89. World Earthquakes 🌍
What changes when earthquake data is treated as a visual signal instead of only a dataset?
This work was built in the context of the February 2023 Turkey/Syria earthquakes as an awareness-focused response.
https://maptheclouds.com/playground/threejs/world-earthquakes-art
#100DayMapChallenge Day 89/100
#ThreeJS #WebGL #GLSL #Geospatial #GIS #DataVisualization #Cartography #Maps #CreativeCoding
Now you can see the SPCS2022 in this "nicer" webpage. Fast, simple, not trackers. Based on GeoJSON.
https://jjimenezshaw.github.io/NSRS-2022-PROJ/SPCS2022/spcs2022.html
Click on the zones to get some technical information (a readme explaining the details is coming).
To make the page faster I had to simplify the original geometries. Do not take them as "exact boundaries".
There is a reason:
"That describes areas where every other PLSS section is privately owned, with the others owned by a government agency. Each section is nominally one mile square, hence the checkerboard look. This was commonly done along ~40 mile-wide swaths centered on major railroad corridors, particularly in the western U.S. Apparently this was done as part of granting land to the railroad barons of the late 1800s, to give them land but to prevent them from having too much control."

Stefan Ziegler’s blog has found a new home: After 12 years of blogging, this #INTERLIS community resource is now at blog.interlis.guru. Update your #RSS feed reader if you follow this essential resource for the Swiss geodata community (which doesn’t just cover INTERLIS).