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Kyle Walker

@kyle_e_walker • 19,265 subscribers

Geospatial, AI, open source. Building: https://t.co/LK0sd3EBsx

Shorts

Introducing {mapgl}, an #rstats package to help you make stunning WebGL maps with Mapbox and MapLibre! Check out the docs here: And read through this thread for a tour of the package's features:

Introducing {mapgl}, an #rstats package to help you make stunning WebGL maps with Mapbox and MapLibre! Check out the docs here: And read through this thread for a tour of the package's features:

29,887 Aufrufe

Interactive heatmaps that "fade away" as you zoom in, revealing points with a custom pop-up? You can do it all in #rstats. Learn how:

Interactive heatmaps that "fade away" as you zoom in, revealing points with a custom pop-up? You can do it all in #rstats. Learn how:

13,721 Aufrufe

Videos

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Texas makes 14.3 million parcels available as open data. Modern geospatial tooling unlocks it in a web browser.

Texas makes 14.3 million parcels available as open data. Modern geospatial tooling unlocks it in a web browser.

52,507 Aufrufe • vor 12 Tagen

All 1.7 million oil & gas wells in Texas. Ownership instantly tabulated from a lasso on an interactive map. Zero performance lag, no backend database required. Incredible what we can do in geospatial these days.

All 1.7 million oil & gas wells in Texas. Ownership instantly tabulated from a lasso on an interactive map. Zero performance lag, no backend database required. Incredible what we can do in geospatial these days.

740,327 Aufrufe • vor 9 Monaten

My most popular post of the year: mapping 1.7 million Texas oil & gas wells with zero performance lag. Draw a lasso, instantly query operators. There are so many opportunities for advanced GIS + AI to impact oil and gas, helping operators, mineral buyers, brokers, and more.

My most popular post of the year: mapping 1.7 million Texas oil & gas wells with zero performance lag. Draw a lasso, instantly query operators. There are so many opportunities for advanced GIS + AI to impact oil and gas, helping operators, mineral buyers, brokers, and more.

542,801 Aufrufe • vor 6 Monaten

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.

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.

54,984 Aufrufe • vor 27 Tagen

Nearly 800 swimming pools identified from Mapbox satellite imagery with Meta's SAM3 in a section of Beverly Hills. In the soon-to-be-released {geosam} R package: review results by confidence level, filter, then export. This is shaping into a tool for serious applied work.

Nearly 800 swimming pools identified from Mapbox satellite imagery with Meta's SAM3 in a section of Beverly Hills. In the soon-to-be-released {geosam} R package: review results by confidence level, filter, then export. This is shaping into a tool for serious applied work.

285,468 Aufrufe • vor 7 Monaten

I configured my OpenClaw bot to fetch the most recent drilling permits from the Texas Railroad Commission. It grabs the permits, parses the data, maps them over satellite imagery, and sends them over to me via Telegram. The opportunities for AI + GIS in oil and gas are massive.

I configured my OpenClaw bot to fetch the most recent drilling permits from the Texas Railroad Commission. It grabs the permits, parses the data, maps them over satellite imagery, and sends them over to me via Telegram. The opportunities for AI + GIS in oil and gas are massive.

180,298 Aufrufe • vor 4 Monaten

Showed my Advanced GIS students Claude Code this week. We built this map of code compliance violations in Fort Worth; heatmap giving way to points on zoom. Used the ArcGIS SDK for JavaScript. Took 10 minutes. Faculty need to be teaching skills for 2026, not for 2016.

Showed my Advanced GIS students Claude Code this week. We built this map of code compliance violations in Fort Worth; heatmap giving way to points on zoom. Used the ArcGIS SDK for JavaScript. Took 10 minutes. Faculty need to be teaching skills for 2026, not for 2016.

177,355 Aufrufe • vor 5 Monaten

All 13.5 million jobs in Texas, visualized by sector in Mapbox with block-level precision. The just-released 2023 LODES data is one of the most underrated public datasets.

All 13.5 million jobs in Texas, visualized by sector in Mapbox with block-level precision. The just-released 2023 LODES data is one of the most underrated public datasets.

201,625 Aufrufe • vor 6 Monaten

Nearly 1500 swimming pools found across a 10 square kilometer suburban area, all from a single text prompt. Meta's SAM3 and Mapbox imagery combine for incredible zero-shot geospatial intelligence.

Nearly 1500 swimming pools found across a 10 square kilometer suburban area, all from a single text prompt. Meta's SAM3 and Mapbox imagery combine for incredible zero-shot geospatial intelligence.

155,619 Aufrufe • vor 5 Monaten

There's so much focus on "how can AI do my work for me?" I think the more important question is "what work can I now do with AI that I would have never attempted before?" Earlier this year I wrote freestiler, a vector tiling engine for R and Python, with the help of Claude and Codex. I knew what the ideal engine looked like and how it would work at a high level. I didn't know how to put it together, and I don't know Rust, the language I wanted under the hood. Previously I would never have attempted this project as the ROI wasn't there. It would have taken me a year or more to learn the internals of a vector tiling engine and enough Rust to implement one. With Opus-level models, I could take it on. freestiler now powers all my vector tiling pipelines, including the map below rendering 143 million jobs from LODES, and it has 114 GitHub stars. Building this way has required a different set of skills. I don't review the code line by line. I set up adversarial agents to do that and write the test suites. What I review is the architecture, the behavior, and the results. Agent teams surface findings and explain their reasoning; I evaluate and critique. My job isn't to stress over code formatting, but instead to focus on questions like whether the engine is designed right, whether the output is correct, and if the UX makes sense. This means that I haven't "replaced my work." I've taken on entirely new work, with the help of agents, that I would have never done otherwise. It has taken some getting used to shipping code I haven't personally typed. In the old way of working, I built understanding through writing that code. Now I build understanding through managing the project - writing a spec, reviewing structure, evaluating UX. And that's helped me think a whole lot bigger in terms of what I can now do.

There's so much focus on "how can AI do my work for me?" I think the more important question is "what work can I now do with AI that I would have never attempted before?" Earlier this year I wrote freestiler, a vector tiling engine for R and Python, with the help of Claude and Codex. I knew what the ideal engine looked like and how it would work at a high level. I didn't know how to put it together, and I don't know Rust, the language I wanted under the hood. Previously I would never have attempted this project as the ROI wasn't there. It would have taken me a year or more to learn the internals of a vector tiling engine and enough Rust to implement one. With Opus-level models, I could take it on. freestiler now powers all my vector tiling pipelines, including the map below rendering 143 million jobs from LODES, and it has 114 GitHub stars. Building this way has required a different set of skills. I don't review the code line by line. I set up adversarial agents to do that and write the test suites. What I review is the architecture, the behavior, and the results. Agent teams surface findings and explain their reasoning; I evaluate and critique. My job isn't to stress over code formatting, but instead to focus on questions like whether the engine is designed right, whether the output is correct, and if the UX makes sense. This means that I haven't "replaced my work." I've taken on entirely new work, with the help of agents, that I would have never done otherwise. It has taken some getting used to shipping code I haven't personally typed. In the old way of working, I built understanding through writing that code. Now I build understanding through managing the project - writing a spec, reviewing structure, evaluating UX. And that's helped me think a whole lot bigger in terms of what I can now do.

13,396 Aufrufe • vor 11 Tagen

Mapped every pipeline in Texas: 368,000 miles of infrastructure at your fingertips. For energy operators, midstream companies, and data center site selectors, understanding pipeline proximity matters. Open data + modern GIS makes it accessible.

Mapped every pipeline in Texas: 368,000 miles of infrastructure at your fingertips. For energy operators, midstream companies, and data center site selectors, understanding pipeline proximity matters. Open data + modern GIS makes it accessible.

118,284 Aufrufe • vor 5 Monaten

Who's operating around your acreage? Select a state, draw a lasso, get the operator breakdown in seconds. Export the well list for your records.

Who's operating around your acreage? Select a state, draw a lasso, get the operator breakdown in seconds. Export the well list for your records.

82,813 Aufrufe • vor 4 Monaten

100+ years of drilling history in Texas, animated. Data from the Texas Railroad Commission, visualized by completion date.

100+ years of drilling history in Texas, animated. Data from the Texas Railroad Commission, visualized by completion date.

15,508 Aufrufe • vor 17 Tagen

5 million oil & gas wells mapped across the US. Smoothly aggregated heatmap when zoomed out, fading to individual wells when zoomed in. High-precision energy industry insights, modern geospatial infrastructure.

5 million oil & gas wells mapped across the US. Smoothly aggregated heatmap when zoomed out, fading to individual wells when zoomed in. High-precision energy industry insights, modern geospatial infrastructure.

111,412 Aufrufe • vor 7 Monaten

1.7 million Texas oil & gas wells. Zoom to the Permian, view over satellite imagery, query production, and view a decline curve. All in seconds.

1.7 million Texas oil & gas wells. Zoom to the Permian, view over satellite imagery, query production, and view a decline curve. All in seconds.

87,006 Aufrufe • vor 5 Monaten

Gemini has always been my go-to LLM for document extraction - but accurate bounding boxes with agentic vision are a huge value-add in the latest Gemini models. Shown: extracting structured data from an oil & gas lease in Ector County Texas with the best bboxes I've seen yet.

Gemini has always been my go-to LLM for document extraction - but accurate bounding boxes with agentic vision are a huge value-add in the latest Gemini models. Shown: extracting structured data from an oil & gas lease in Ector County Texas with the best bboxes I've seen yet.

79,632 Aufrufe • vor 4 Monaten

1.7 million Texas oil & gas wells. Zoom to an area, lasso wells, see who's operating. Click a well, get an interactive decline curve. Download the data you need, all in seconds. I'm launching Wells Intelligence today. Try it:

1.7 million Texas oil & gas wells. Zoom to an area, lasso wells, see who's operating. Click a well, get an interactive decline curve. Download the data you need, all in seconds. I'm launching Wells Intelligence today. Try it:

59,272 Aufrufe • vor 4 Monaten

1,890 swimming pools found across a 5 square mile suburban neighborhood with zero-shot image segmentation. Lower the confidence threshold to find even more! Use the interactive explorer in the {geosam} R package to try out Meta's SAM3 for satellite imagery analysis yourselves.

1,890 swimming pools found across a 5 square mile suburban neighborhood with zero-shot image segmentation. Lower the confidence threshold to find even more! Use the interactive explorer in the {geosam} R package to try out Meta's SAM3 for satellite imagery analysis yourselves.

50,458 Aufrufe • vor 3 Monaten

14.3 million parcels visualized across Texas. Draw a shape, query DuckDB, tabulate surface ownership instantly. Modern geospatial tooling brings powerful land analytics to your laptop.

14.3 million parcels visualized across Texas. Draw a shape, query DuckDB, tabulate surface ownership instantly. Modern geospatial tooling brings powerful land analytics to your laptop.

35,563 Aufrufe • vor 2 Monaten

All 8.1 million US Census blocks. Visualized smoothly in 3D. Instant population and housing totals from a lasso selection. All running seamlessly in the browser, no traditional backend. While everyone’s talking about AI, it’s an incredible time for geospatial tech.

All 8.1 million US Census blocks. Visualized smoothly in 3D. Instant population and housing totals from a lasso selection. All running seamlessly in the browser, no traditional backend. While everyone’s talking about AI, it’s an incredible time for geospatial tech.

106,842 Aufrufe • vor 8 Monaten