#30DayMapChallenge Day 20: Water
World map using the Spilhaus projection. The oceans form a single mass of water around Antarctica.
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#30DayMapChallenge Day 20: Water
World map using the Spilhaus projection. The oceans form a single mass of water around Antarctica.
#30DayMapChallenge Day 20: Water
World map using the Spilhaus projection. The oceans form a single mass of water around Antarctica.
More than 3.5 Million people live in Berlin. How to organize them and their needs? Since 2021 the city is divided into 542 planning areas (grouped in different abstraction levels): https://www.berlin.de/sen/sbw/stadtdaten/stadtwissen/sozialraumorientierte-planungsgrundlagen/lebensweltlich-orientierte-raeume/. This map shows all of them. #30DayMapChallenge
More than 3.5 Million people live in Berlin. How to organize them and their needs? Since 2021 the city is divided into 542 planning areas (grouped in different abstraction levels): https://www.berlin.de/sen/sbw/stadtdaten/stadtwissen/sozialraumorientierte-planungsgrundlagen/lebensweltlich-orientierte-raeume/. This map shows all of them. #30DayMapChallenge
The fire department of Berlin provides pretty interesting data on different metrics (that I unfortunately only understand superficially). They are published on GitHub: https://github.com/Berliner-Feuerwehr/BF-Open-Data/tree/main. This map shows for 2025 until now how long it took from fire to first pump. 🚒 #30DayMapChallenge
The fire department of Berlin provides pretty interesting data on different metrics (that I unfortunately only understand superficially). They are published on GitHub: https://github.com/Berliner-Feuerwehr/BF-Open-Data/tree/main. This map shows for 2025 until now how long it took from fire to first pump. 🚒 #30DayMapChallenge
#30DayMapChallenge day 15 (Fire) with #RStats
An animation of global fires in 2024 using #MODIS data.
Day 15 Fire
Major volcanos in the last 50 years (>1975), from the Significant Volcanic Eruption Database
http://dx.doi.org/10.7289/V5JW8BSH
Size of blob is based on Volcanic Explosivity Index (VEI)
#30DayMapChallenge Day 15. Fire
I redesigned an existing map of US Wildfires with Firefly cartography in mind, and added timeline slider at the bottom. Made w/ ArcGIS JS. See active + historic wildfire incidents on the full map here - shorturl.at/0lqGq
#ArcGIS #Javascript #dataviz
#30DayMapChallenge Day 15. Fire
I redesigned an existing map of US Wildfires with Firefly cartography in mind, and added timeline slider at the bottom. Made w/ ArcGIS JS. See active + historic wildfire incidents on the full map here - shorturl.at/0lqGq
#ArcGIS #Javascript #dataviz
#30DayMapChallenge day 15 (Fire) with #RStats
An animation of global fires in 2024 using #MODIS data.
Day 15 Fire
Major volcanos in the last 50 years (>1975), from the Significant Volcanic Eruption Database
http://dx.doi.org/10.7289/V5JW8BSH
Size of blob is based on Volcanic Explosivity Index (VEI)
Day 13 #30DayMapChallenge - How far can you walk from Birmingham City's stadium? The Blues had to feature (as always!) and this time it's to answer the question how far can you walk in 10 mins. I may update this in the future to show all pubs within a reasonable walking distance! #rstats #dataviz
Day 13 #30DayMapChallenge - How far can you walk from Birmingham City's stadium? The Blues had to feature (as always!) and this time it's to answer the question how far can you walk in 10 mins. I may update this in the future to show all pubs within a reasonable walking distance! #rstats #dataviz
🗺️ Day 14 of #30DayMapChallenge — Rome OSM Data in R
Clean palette for highways, rivers, hospitals and bus stops and a simple setup:
• getbb("Rome, Italy")
• opq() + add_osm_feature()
• geom_sf() to layer the city
#rstats #dataviz #geospatial
🗺️ Day 14 of #30DayMapChallenge — Rome OSM Data in R
Clean palette for highways, rivers, hospitals and bus stops and a simple setup:
• getbb("Rome, Italy")
• opq() + add_osm_feature()
• geom_sf() to layer the city
#rstats #dataviz #geospatial
The OpenStreetMap map features table is definitely worth bookmarking: https://wiki.openstreetmap.org/wiki/Map_features. Today, I used it to get the locations of four craft categories: bookbinders, goldsmiths, potteries and watchmakers. The 14 locations seem to be a little too few... So take a look at which craft businesses are around you and add them to osm, StreetComplete will make it fun: https://streetcomplete.app/ #30DayMapChallenge
#30DayMapChallenge - OpenStreetMap
Using OSM data to prove there are no roads in London.
https://googlemapsmania.blogspot.com/2025/11/there-are-no-roads-in-london.html