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Urban Data

@urban-data.bsky.social

Official social media for the Urban Data working group. Researchers at the intersection of data, cities, people, and space. Read more and join us at https://urban-data-science-eaamo.github.io

95 Followers  |  315 Following  |  28 Posts  |  Joined: 30.10.2025  |  1.7999

Latest posts by urban-data.bsky.social on Bluesky

"Grains are scattered in clustered patterns, merged as a landmass, converted into a smooth density field using KDE, and blended with edge-fading to mimic coastal shelves. Gaussian filtering adds coherence. Elevation bands and lighting produce naturalistic terrain with sand, grass, rock, and snow."

22.11.2025 16:27 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Elijah says: "In this project I created a generative terrain builder that transforms virtual scatterings of rice-shaped polygons into coastlines, heightmaps, and fully shaded 3D landscapes"

22.11.2025 16:27 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Out of this world!

@eappelson.bsky.social explored fantasy map-making using rice digital to form tactile terrains for #30DayMapChallenge day 18. He was inspired by handmade maps created by outlining real piles of rice and simulated rice scattering. Grain density becomes elevation.

22.11.2025 16:27 β€” πŸ‘ 7    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

"Day 15 immediately caught my interest because it prompted reflection on energy consumption. I was also curious to experiment with kepler.gl to explore Uganda’s Census findings. When I connected fire with cooking and energy with the electricity grid, the theme felt like a perfect match," says Sylvia

21.11.2025 18:35 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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#30DayMapChallenge 15: Fire

@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.

21.11.2025 18:35 β€” πŸ‘ 9    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0
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Are you running from your responsibilities? On our #30DayMapChallenge day 14 entry, we tell you where!

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...

21.11.2025 14:33 β€” πŸ‘ 9    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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#30DayMapChallenge day 13: 10-min map

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

21.11.2025 00:16 β€” πŸ‘ 5    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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For #30DayMapChallenge day 11, a minimal map from @kennypeng.bsky.social.

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.

17.11.2025 14:43 β€” πŸ‘ 9    πŸ” 3    πŸ’¬ 0    πŸ“Œ 2

They say: "We softly overlap point locations of these ladrilleras across Mexico (downloaded from DENUE) and scores for proximity to these kilns across the country, computed as the total inverse distance each ladrillera. This score is presented for each 50km point across the country, on a log-scale."

15.11.2025 17:19 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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#30DayMapChallenge day 10: Air

@jessiefin.bsky.social + Francisco Marmolejo-CossΓ­o visualize the presence of ladrilleras, or brick kilns, which emit pollution across the state. Data cleaned by Jacqueline CalderΓ³n and Lizet Jarquin at UASLP.

Full interactive map: tinyurl.com/map10-air

15.11.2025 17:19 β€” πŸ‘ 6    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0
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#30DayMapChallenge day 9 asked us to get off our screens. @annaloganmc.bsky.social's "analog" map is a hand-painted postcard! πŸ“«

"I chose to paint a postcard of a map of Ann Arbor where I currently live showing the Huron River!" she says

14.11.2025 20:42 β€” πŸ‘ 11    πŸ” 5    πŸ’¬ 0    πŸ“Œ 0
NYC Coffee Shop Density β€” World Urbanism Day (D3)

You can play with the map, visualizing individual points rather than cells or hiding chain coffee shops, at the link: gsagostini.github.io/documents/ma...

14.11.2025 17:09 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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#30DayMapChallenge day 8: Urban

Chae Won Lee uses the Overpass API to visualize current coffee shop density in New York with an interactive map. Here's a snippet.

14.11.2025 17:09 β€” πŸ‘ 10    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0

Gabriel writes: "Many accessibility works do a great job at quantifying disparate access to a single type of service. But urban access implies a relative ordering of things close and far to you. This is a cheeky title that proposes a spatial relationship between transit and food deserts."

13.11.2025 14:27 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Day 7 of #30DayMapChallenge asked us to think about accessibility. @gsagostini.bsky.social considers two metrics of access simultaneously: distance to a Subway and distance to the subway.

13.11.2025 14:27 β€” πŸ‘ 98    πŸ” 18    πŸ’¬ 4    πŸ“Œ 3
ArcGIS Maps SDK in Unity (Testing Samples)
YouTube video by Atmika Pai ArcGIS Maps SDK in Unity (Testing Samples)

You can find her full exploration on YouTube!

www.youtube.com/watch?v=ALzn...

12.11.2025 18:40 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

"I wanted to step into a designer's shoes and see what tools are available to them, so I chose to set up ArcGIS Maps SDK for Unity and explore their sample project. The 3rd-person controller lets you navigate cities as a character, while the viewshed analysis calculates sight lines from any point."

12.11.2025 18:40 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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#30DayMapChallenge day 6: dimensions

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.

12.11.2025 18:40 β€” πŸ‘ 4    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0
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The Welikia Project Explore the landscape before New York.

Jennah says "I was interested in examining how historical wetlands in the city correspond to modern-day flooding risk. I was inspired by articles that came out shortly after Hurricane Ida, and my own experience with flooding in Hurricane Sandy."

Data comes from the Welikia Project
www.welikia.org

11.11.2025 17:01 β€” πŸ‘ 6    πŸ” 0    πŸ’¬ 0    πŸ“Œ 1
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We might be a few days delayed on the #30DayMapChallenge, but our day 5 submission spans almost 250 years of history! Our "Earth" map comes from @jennahgosciak.bsky.social, who compared the original ecology of New York City to present day variables.

11.11.2025 17:01 β€” πŸ‘ 11    πŸ” 1    πŸ’¬ 1    πŸ“Œ 2

During the conference, we asked people to ping themselves on a collaborative map. We augmented this data with affiliation data from authors and presenters. Our data, rather than "my" data, maybe?

11.11.2025 16:05 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Last week, we presented the work of our group at the EAAMO conference. So, for our delayed #30DayMapChallenge day 4 (my data) we created a map showing flows from some EAAMO contributors and attendees!

11.11.2025 16:05 β€” πŸ‘ 5    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
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We are slowly catching up to the #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.

07.11.2025 17:19 β€” πŸ‘ 16    πŸ” 4    πŸ’¬ 0    πŸ“Œ 1

Atmika writes:

"This Minard-style flow map shows how COVID-19 affected Roosevelt Island Tramway ridership. From December 2020 onwards, tram ridership data is no longer reportedβ€”newer MTA datasets omit it entirely, highlighting a gap in data continuity."

06.11.2025 17:33 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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#30DayMapChallenge day 2: 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!

06.11.2025 17:33 β€” πŸ‘ 10    πŸ” 1    πŸ’¬ 2    πŸ“Œ 0

Gabriel writes:

"Back in April, lots of students in my lab took a day to study dog as data. That was our #dogathon. We focused a lot on dog names + breeds, this is yet another fun map I wanted to create. In our thread you can find more map, plots, and dog park simulators."

bsky.app/profile/kenn...

06.11.2025 17:18 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Dot density map of dogs in New York City. Includes a scatter plot of the canine population vs. human population per ZIP code.

Dot density map of dogs in New York City. Includes a scatter plot of the canine population vs. human population per ZIP code.

#30daymapchallenge day 1: Points

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 πŸ•πŸ©

06.11.2025 17:18 β€” πŸ‘ 16    πŸ” 2    πŸ’¬ 1    πŸ“Œ 1
30DayMapChallenge Daily mapping challenge happening every November!

To get this feed started, our group will be participating in the #30daymapchallenge! On (most) days of November we will be posting a new map, by a new author, on a new theme. First batch of maps incoming... πŸ—ΊοΈ

30daymapchallenge.com#maps-stats

06.11.2025 16:47 β€” πŸ‘ 10    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0

@urban-data is following 20 prominent accounts