@sylviaimani.bsky.social visualized how Uganda’s transition toward electric cooking aligns with the reach of the national grid. Regions with denser grid networks show a strong correlation with higher household adoption of electric cooking technologies.
@sylviaimani.bsky.social visualized how Uganda’s transition toward electric cooking aligns with the reach of the national grid. Regions with denser grid networks show a strong correlation with higher household adoption of electric cooking technologies.
Atmika Pai maps running clubs with OpenStreetMap, which includes amenities such as water and restrooms. Running club data comes from @shaylaruns (Instagram).
atmikapai13.github.io/iconic-runcl...
Atmika Pai maps running clubs with OpenStreetMap, which includes amenities such as water and restrooms. Running club data comes from @shaylaruns (Instagram).
atmikapai13.github.io/iconic-runcl...
Atmika Pai set the clock. "I used Marauders, an AI-powered spatial intelligence tool, to create a heatmap of 311 indoor air quality complaints in NYC" she says. "All it took was downloading the dataset from Open Data and uploading!"
tinyurl.com/13-map-311
Atmika Pai set the clock. "I used Marauders, an AI-powered spatial intelligence tool, to create a heatmap of 311 indoor air quality complaints in NYC" she says. "All it took was downloading the dataset from Open Data and uploading!"
tinyurl.com/13-map-311
Kenny extracts minimal elements from a not-as-minimal-as-it-seems object: the Manhattan street grid. "I show how Manhattan’s numbered grid of streets and avenues is more complicated than you might realize," he says.
Kenny extracts minimal elements from a not-as-minimal-as-it-seems object: the Manhattan street grid. "I show how Manhattan’s numbered grid of streets and avenues is more complicated than you might realize," he says.
@jessiefin.bsky.social + Francisco Marmolejo-Cossío visualize the presence of ladrilleras, or brick kilns, which emit pollution across the state. Data cleaned by Jacqueline Calderón and Lizet Jarquin at UASLP.
Full interactive map: tinyurl.com/map10-air
@jessiefin.bsky.social + Francisco Marmolejo-Cossío visualize the presence of ladrilleras, or brick kilns, which emit pollution across the state. Data cleaned by Jacqueline Calderón and Lizet Jarquin at UASLP.
Full interactive map: tinyurl.com/map10-air
"I chose to paint a postcard of a map of Ann Arbor where I currently live showing the Huron River!" she says
"I chose to paint a postcard of a map of Ann Arbor where I currently live showing the Huron River!" she says
Chae Won Lee uses the Overpass API to visualize current coffee shop density in New York with an interactive map. Here's a snippet.
Chae Won Lee uses the Overpass API to visualize current coffee shop density in New York with an interactive map. Here's a snippet.
Atmika Pai dove into the ArcGIS Unity SDK to see how architects & designers plan in 3D. She explored 15 features from geocoding to viewshed analysis, all in an immersive game engine! Here's a video teaser of her map.
Atmika Pai dove into the ArcGIS Unity SDK to see how architects & designers plan in 3D. She explored 15 features from geocoding to viewshed analysis, all in an immersive game engine! Here's a video teaser of her map.
In our day 3: polygons submission, @zhixuanqi.bsky.social questioned the boundaries and fuzziness of polygons with an animated map that invites us to think about the (not-so-well-defined) idea of neighborhoods.
In our day 3: polygons submission, @zhixuanqi.bsky.social questioned the boundaries and fuzziness of polygons with an animated map that invites us to think about the (not-so-well-defined) idea of neighborhoods.
Atmika Pai interpreted lines in multiple ways. Her map shows how the lines we stand in to wait for the tramway (line) generate flows lines!
Atmika Pai interpreted lines in multiple ways. Her map shows how the lines we stand in to wait for the tramway (line) generate flows lines!
For our first map, we had to visualize spatial data as dots. @gsagostini.bsky.social worked on a dot density map showing dog density in New York City.
1 dot = 1 dog 🐕🐩
For our first map, we had to visualize spatial data as dots. @gsagostini.bsky.social worked on a dot density map showing dog density in New York City.
1 dot = 1 dog 🐕🐩