Kyle Walker @kyle_e_walker
Geospatial, AI, open source. Building: https://t.co/LK0sd3EBsx walker-data.com Fort Worth, TX Joined May 2010-
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The technique uses 2023 LODES data (all states except Alaska and Michigan are available). Learn more about the new feature: walker-data.com/freestiler/art…
Mapping technique: use H3 hexagonal binning to make dense point data intelligible at low zooms. Shown here: the new H3 integration in the freestiler vector tiling tool in action. 146 million jobs are binned by hierarchical hexagons, then mapped by the most common job category. Hexagons give way to smaller shapes, then individual points, with a "fade-on-zoom" effect in @Mapbox. Broad patterns when zoomed out, granular detail when zoomed in.
Version 0.2.0 of freestiler, a Rust-powered vector tiling engine for R and Python, has landed on CRAN and PyPI. The highlight: produce vector tiles with dynamic H3 hexagonal binning built-in. Learn how in the new vignette and make maps like this fade-on-zoom example of US wind turbines. walker-data.com/freestiler/art…
The new slider control in R's mapgl package (v0.5.0) isn't just for time-based filtering. Give it a list of paint expressions and you can animate changes over time on your map. Example: population changes at the tract level in Florida, animated in 3D.
@milos_gis Thanks Milos, I appreciate it!
A bivariate look at high-tech employment share and net migration across NUTS2 regions in Europe. Interactively mapped with R's mapgl using the new bivariate choropleth feature, now available in the package's 0.5.0 release. Credit to @milos_gis for his inspirational European mapping examples!
@coreyward you could in a bespoke implementation, but this is using an R package I wrote that handles any arbitrary dataset, so it'd likely need a different type of build for that
365,000 miles of Texas pipeline, mapped. Nearly 500,000 line segments filterable by type and diameter. Open data makes it accessible; the right architecture with modern GIS tooling makes it fast.
@mandersonfilm the pipelines are in the paid tier of the product
@HarryPlendl yes! used to be larger but I'm trying to do my part to keep it going
Today’s Texas RRC drilling permits freshly pulled and prepped, with a notification sent to me by Telegram. Landing in my product and API overnight. No OpenClaw or agent required, just an old-fashioned cron job running code and calling APIs. Sometimes the best use of your token budget is to design an automation with your agent that can run reliably without you *or* your agent in the middle.
@AgileJebrim Two reasons: I’m using block group aggregation represented as centroids Flowmap.gl uses hierarchical aggregation by zoom level as well, which will break apart when you zoom in, for visibility purposes
Animated, hierarchical origin-destination commute flows in Dallas-Fort Worth, Texas. Downtowns, medical districts, airports, and suburban job hubs light up from 2023 LODES data. This technique uses Flowmap.gl, now available in the official 0.5.0 release of R's mapgl package. Credit to @EgorKotov and @ilyabo for the implementation and for Flowmap.gl, respectively.
@AgWxMan1 A lot of the data I show, including the pipelines, are bundled in my product: wells.clearforkintelligence.com I also build custom apps / workflows at clearforkintelligence.com
@coreyward I built the slider in mapgl to do live filtering as you drag, which gets expensive on large datasets when you move it quickly. I may add a filter-on-release option to fix that.
It's easy to forget that Opus 4.5 - the first model truly capable of independent work, in my opinion - was released less than 7 months ago Now post-Fable, some people on here act like Opus 4.8 can't do anything If you give it the right harness and frame it with the right subject matter expertise, it's still mind-blowing what Opus 4.8 can accomplish
The decreased cost of prototyping is one of my favorite things about "vibe coding." Last semester I wanted to teach my students SQL. Years ago I used CartoDB for this. I wanted the same experience: load a dataset, run a query, see the result live on a map. Replicating this is do-able with today's tech: @duckdb WASM in the browser connected to @maplibre. Before LLMs, this would take me weeks to build myself - which isn't worth the time investment. With LLMs? This app took me a day and I was able to host it self-contained on my website and hand off to students. See the example: loading 39k Utah oil and gas wells in the browser, querying for an operator and Federal surface ownership. Even includes nice touches like click a row in the table, highlight the circle on the map. This isn't a sellable product like CartoDB was, you still can't build that in a day. But the fact that we can put this sort of thing together nowadays opens up so many new pathways for teaching, sharing information, and sketching out project ideas. You can try out the tool yourselves at personal.tcu.edu/kylewalker/urb…
Daily Texas drilling permit intelligence has landed in Wells Intelligence. We pull permit data from the Texas RRC daily and package it up for use in our interactive platform and API. Browse with an interactive timeline + operator queries on our interactive map, or hand off the API to your AI agent to analyze. Now available for Operator tier subscribers and higher. wells.clearforkintelligence.com
Disclaimers: the ACS is a survey, so estimates of small counts will be noisy (note the margins of error on the maps, especially for estimates below 1000). If you want to pull and map this data yourselves, check out my open-source tools! walker-data.com/tidycensus walker-data.com/mapgl
Group L: 🇬🇭 Ghana: Morris Heights & Mount Hope, NY — 4,997 🇵🇦 Panama: Polk County (South), FL — 1,205 🏴 England: Santa Monica City, CA — 996 🇭🇷 Croatia: Astoria & Queensbridge, NY — 879
Thread: the areas of the US with the most residents born in each #WorldCup2026 country. We're using PUMAs, Census areas with approximately between 100k-200k residents, from the 2020-2024 5-year ACS Group A: 🇲🇽 Mexico: El Centro City, CA — 53,624 🇰🇷 South Korea: Fort Lee, Cliffside Park & Palisades Park, NJ — 19,756 (ACS measures "Korea") 🇿🇦 South Africa: Fort Bend County (Northwest), TX — 1,706 🇨🇿 Czechia: Lyons & Stickney Townships, IL — 531 (ACS measures Czechia and Slovakia together)
terence @researchremora
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