| ObservableHQ | https://observablehq.com/@fil |
| Visionscarto | https://visionscarto.net/ |
| Rezo | https://rezo.net/ |
I just released v2.0.0 of d3-geo-polygon — just in time for the #30DayMapChallenge
New projections, new documentation & lots of other changes, see details here:
Quel est votre poids électoral ?
(Une carte originale de Cedric Rossi pour visionscarto)
Reproducing this Little Picture. “Little pictures of climate” is a data-visualization competition organized by the European space agency’s climate office. (Open from 1 September to 19 November 2023.) Check their website for details, links to important datasets, and tutorials. Here we use Observable Plot to recreate one of the examples. Credits for the original: Philipp Eales, Achim Tack & Norman Fomferra (see project repo). Data loading & processing The original dataset is available to download from the CED
This val uses Observable Plot to generate a map of earthquakes, server-side, from live data. The map is saved and updated on a daily basis, then served as a web page.
Code & details:
https://www.val.town/v/fil.earthquakes
Earthquake map 🌏 This val loads earthquake data from USGS, a topojson file for the land shape, and supporting libraries. It then creates a map and save it as a SVG string. The result is cached for a day. Note that we must strive to keep it under val.town’s limit of 100kB, hence the heavy simplification of the land shape. Web page: https://fil-earthquakes.web.val.run/ Observable Plot: https://observablehq.com/plot/ linkedom: https://github.com/WebReflection/linkedom topojson: https://github.com/topojson/topojson earthquakes: https://earthquake.usgs.gov world: https://observablehq.com/@visionscarto/world-atlas-topojson Stylesheet: https://milligram.io/
