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#30DayMapChallenge Day 4 — Hexagons Today’s highlight is “Crystal Cities” by Mapbox map designer Stephen Kennedy. This map uses the Kontur Population hex grid dataset to visualize population density stylized as glowing crystal forms. Explore how data brings cities to life: #BuiltWithMapbox #Data

15,895 просмотров • 1 год назад •via X (Twitter)

Комментарии: 4

Фото профиля Kontur
Kontur1 год назад

Great to see Kontur population dataset featured in such beautiful maps for #30DayMapChallenge! 💯 Next time, give #KonturAtlas a try — we’ve added even more hexagonal data for you to explore at 🗺️

Фото профиля Emmanuel Okeke
Emmanuel Okeke1 год назад

@Mapbox why is mapbox declining my credit card on sign-up?

Фото профиля AI Pill - e/acc⏫️
AI Pill - e/acc⏫️1 год назад

Looks beautiful.

Фото профиля Geo Political Guy
Geo Political Guy1 год назад

Love it!

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📊 “Jews in Ukraine, 1897–2025?” A set of maps circulating online presents population figures under the title “Number of Jews in Ukraine (1897–2025).” The figures are real. The label is imprecise. Before 1991, there was no Ukrainian state. Therefore, population data from 1897, 1918, 1926 or 1939 cannot describe a country that did not exist. What these maps actually do is take historical census data and reassign it to the territory of today’s Ukraine, using modern borders as a frame for earlier periods. In 1897, western cities shown on the map were located in lands historically tied to Poland and later administered under Austro-Hungarian rule. Eastern and southern cities — including Kyiv, Odesa and Kharkiv — belonged to the Russian Empire. The Jewish population counted in that census were subjects of imperial states, not citizens of a Ukrainian nation-state. The same applies to later decades. From the 1920s until 1991, the territory was governed within the Soviet Union. Population changes during that period reflect war, genocide, Soviet policies, assimilation and emigration, not decisions of an independent Ukraine. Only after 1991 does it become accurate to speak of “Ukraine” as a state in demographic terms. From that point onward, the continued decline shown in the maps corresponds to post-Soviet migration patterns and, more recently, large-scale displacement caused by war. The maps therefore do not describe a continuous national history. They describe population changes across the same geographic space under different states: •Polish and Austro-Hungarian administration in the west •Russian imperial rule in the east •Soviet governance across most of the territory •Ukrainian statehood only after 1991 Without that clarification, the headline suggests historical continuity that did not exist. The data itself is not fabricated. The issue is how it is labeled. A technically accurate title would be: “Jewish population in the territory of today’s Ukraine, based on imperial, Soviet, and post-1991 data.” That framing reflects historical reality. Anything else simplifies borders that were never static. ⸻ If you like what we are doing — like, share, subscribe, and invite your friends for more. Follow us also on Facebook: Slavic Networks Nirali VVeles SlavicFreeSpirit

Slavic Networks

58,121 просмотров • 6 месяцев назад

✊ Data belongs to the people. Democracy runs on transperancy West Bengal's Special Intensive Revision (SIR) 2026 data ie. the data that determines whether your name stays on the voter list, is technically "public." But try accessing it. You'll hit CAPTCHAs. Download limits. Scanned PDFs that no machine can read. Data buried so deep it may as well not exist. So we did something about it. Sabar Institute, with the help of our researcher Souptik Halder and support from our team of SABIR AHAMED, Ashin Chakraborty and Sohail Mallick has built free, open, interactive maps of SIR 2026 data across all 294 West Bengal Assembly constituencies and we're making them available to every journalist, researcher, activist, and citizen who needs them. 🪦 ASDD Deletion Map — See exactly where voters are being deleted as Absent, Shifted, Dead, or Duplicate. Track overall deletion %, gender ratio, death counts, untraceable voters — assembly by assembly, on a live map. ⚖️ Supplementary Adjudication Map — Follow the adjudication trail: who's under review, how many were added or deleted, what percentage are still pending — across every single constituency. Why does this matter? Because mass deletions from voter rolls don't affect everyone uniformly. They happen in specific places, to specific communities, in patterns that deserve scrutiny. You cannot scrutinize what you cannot see. 🔗 Link to explore the map is in the next tweet If this work matters to you, support us using the link below👇 #DataForBetterLives

SABAR Institute

31,446 просмотров • 3 месяцев назад

Here's a copy/paste prompt recipe and vid showing exactly how to ask an LLM for an interactive map with satellite/map layers + a georeferencer that lets you see how old maps correspond with modern geography. Today the computer can’t make good print maps (that's your hill to climb ) but it can, with five bucks and twenty minutes, make good interactive maps. No software/GIS knowledge necessary, you just need a few nouns and an LLM. Scroll to the bottom for the repo/live map if you want those. I'm using Claude Code as an extension in VS Code but you can use the Claude CLI, Cursor, whatever. 1) Let's grab an old cadastral map and see who owned big tracts of a city; I found this an 1854 map of Niagara Falls, NY I found in the Library of Congress: , grabbed the .jp2, saved as a jpg from photoshop. 2) Let's ask Claude Code for a map. You can see exactly what I did in the video but my prompt, sans simple "hey it's busted" debugging, is written out in the following paragraphs. I explain the map-specific nouns in brackets. You can likely dump this whole thing in your LLM window and it'll work; I'd try plan mode + skip permissions. THE PROMPT Make an interactive map with MapLibre GL JS [maplibre is a javascript mapping library, a FOSS version of Mapbox GL JS. This lets us display tiled map data and arbitrary images on the map] Add basemap toggles with Esri satellite, Carto Positron, and OSM [these map layers require no API keys for light usage; Carto Positron is a nice road map layer and OSM is ugly but comprehensive] Add a globe/mercator projection toggle [I think the globe looks better at low zooms] Add a layer panel on the left with visibility checkboxes and delete buttons. Add a search box on the map that flies to results, with deletable pin markers [Makes this easy to get to your area of interest] Include an interactive local georeferencer: drop a JPG, pick ground control points on a zoomable/pannable image viewer, place them on the map, watch it warp with a progress bar centered on the map. [The georeferencer uses math ("affine transform"??) to match points on the old map to points on the new map; generally you click road intersections on the old map, match them on the new map, repeat a dozen times and everything aligns] The georeferenced map overlay defaults to 25% opacity with a slider above the control point list. [I want it easy to see the underlying modern geography] Add Export/import control point buttons [this saves the control points as a JSON so you can save and reimport your work] Add a button to export the warped image as a GeoTIFF with a .prj [In case you want to add the georeferenced image to a real GIS program like QGIS] Look up all relevant docs before starting [Claude sometimes uses outdated stuff] Split everything into separate HTML/CSS/JS files [Claude tends to pile everything in index.html, which is hard to read] Use Optima font, base color #FEFAF6 [I just like this style] Let me test with a local server [it serves it on a simple server so you can nav your host to localhost:8000 and try it out] Log all errors [so you don't have to play telephone with the LLM describing what's busted] 3) Once your LLM finishes, test it out in your browser; if it doesn't work, ask the LLM to check logs. Repeat 'til functional. 4) After this works on your computer, you can show it to everyone by hosting it on GitHub: prompt with "write a README explaining what everything does, add it to a new GitHub repo, deploy using GitHub pages, gimme the live URL" Here's what Claude made for me, try it yourself: • Upload the JPG in the repo, which is linked below • "Add GCP" • Click somewhere recognizable on the old map, like the tip of an island or a road intersection • Click the matching point on the new map • Repeat til you have least 3x points • Hit "georeference" • You'll see the old map atop the new map; if you want a better fit, delete bad points or add a dozen new ones, hit georeference again, repeat Repo: Is this map robust? Human-maintainable? Elegant? Performant? Secure? No, but *your* personal web map need not be. It just needs to work for *your* narrow use case, because it’s *your* map.

Evan Applegate

15,772 просмотров • 3 месяцев назад

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21,620 просмотров • 10 месяцев назад

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