v3.0 of my "Walk Potential" software has been released. This an #UrbanPlanning #mapping tool used in planning to quantify the number of "interesting" places nearby to walk. Useful metric for demand to fix sidewalk network gaps.

Release notes: https://gitlab.com/markstos/walk-potential/-/releases/v3.0.0

Docs: https://gitlab.com/markstos/walk-potential/-/blob/main/README.md

First reply with a boundary polygon for their city wins free Walk Potential analysis for that city.

#gis #BloomingtonIN #OpenStreetMap #OpenTripPlanner #TurfJS

Example Walk Potential Heatmap:

And here's the list!

General use tools:

1. #d3
2. #lodash

Web scraping tools

1. #p-queue
2. #cheerio
3. #puppeteer

Geospatial tools

1. #mapshaper
2. #turfjs
3. #qgis

Website tools

1. #sveltekit

Tools that are also companies

1. @observablehq
2. #Github actions
3. #netlify

Wrote a TIL style post about turning a PNG into #GeoJSON.

The Forest Service publishes the results of their 10 hour dead fuel moisture model once a day as a PNG file with no geographic information, like the one attached to this post.

Sounds difficult. And turns out that it kind of is, _but_ also that the open source #geospatial tools are super powerful and you can totally do it too.

https://www.jeremiak.com/blog/extracting-fuel-moisture-data-from-rasters/

#gdal #mapshaper #turfjs

Note to future self:

Use more #turfjs. It’s friggin' awesome!

Question to past self:

Why haven’t you been using more #turfjs? (https://chringel.dev/2022/09/06/0943/)

RT @willy_maps
The closest 10 airports https://willymaps.github.io/spoke/ #builtwithmapbox #turfjs