We build MIGRATE: a dataset of yearly flows between 47 billion pairs of US Census Block Groups. 1/5
@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.
Just be careful - if you choose a value too high, you might lose your data in the sky!
#rstats
Just be careful - if you choose a value too high, you might lose your data in the sky!
#rstats
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
#30DayMapChallenge
#30DayMapChallenge
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.
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 🐕🐩
@mfranchi.bsky.social @jennahgosciak.bsky.social and I organize an EAAMO Bridges working group on Urban Data Science and we are looking for new members!
Fill the interest form on our page: urban-data-science-eaamo.github.io
@mfranchi.bsky.social @jennahgosciak.bsky.social and I organize an EAAMO Bridges working group on Urban Data Science and we are looking for new members!
Fill the interest form on our page: urban-data-science-eaamo.github.io
"The city risks legal liability for knowingly reducing safety on a Vision Zero priority corridor."
buff.ly/QNgRyts
"The city risks legal liability for knowingly reducing safety on a Vision Zero priority corridor."
buff.ly/QNgRyts
In our #CVPR2025 paper, we propose a method to make them more compact without sacrificing coverage.
In our #CVPR2025 paper, we propose a method to make them more compact without sacrificing coverage.
📄: arxiv.org/abs/2412.16406
📄: arxiv.org/abs/2412.16406
New task & dataset of images and captions with figurative phenomena like metaphor, idiom, sarcasm, and humor.
New task & dataset of images and captions with figurative phenomena like metaphor, idiom, sarcasm, and humor.
1) Geospatial trends: Cavalier King Charles Spaniels are common in Manhattan; the opposite is true for Yorkshire Terriers.
We build MIGRATE: a dataset of yearly flows between 47 billion pairs of US Census Block Groups. 1/5
We build MIGRATE: a dataset of yearly flows between 47 billion pairs of US Census Block Groups. 1/5
Our method, HypotheSAEs, produces interpretable text features that predict a target variable, e.g. features in news headlines that predict engagement. 🧵1/
Our method, HypotheSAEs, produces interpretable text features that predict a target variable, e.g. features in news headlines that predict engagement. 🧵1/