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Kyle Walker

@kyle_e_walker • 20,282 subscribers

Professor and entrepreneur working on topics in geospatial, AI, and open source software. Building AI solutions for energy: https://t.co/LK0sd3E3CZ

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:

29,935 次观看

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 次观看

Videos

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1.47 billion dots mapped across India - one for every person. Visualized in a browser on a laptop with MapLibre + PMTiles, built with freestiler. I developed freestiler earlier this year to make massive interactive mapping workflows more accessible. Until recently, I hadn't been able to push it above 1 billion points. The latest batch of optimizations - coming soon to the package - make these sorts of workflows possible. In this workflow, freestiler streams in data from a parquet file, keeps memory in check by partitioning the data, and tiles in parallel with Rust. This tiling session took about 21 minutes on my MacBook with a peak memory usage under 9 GB. I'm working on making this even faster. The map here shows 1 dot for every person in India when fully zoomed in, derived from WorldPop 2026 population projections at 100m grid cells (modeled data, which is why you see uniform densities in large cities). Dots are placed randomly within those cells. I'll write up an article showing you how to do this soon.

1.47 billion dots mapped across India - one for every person. Visualized in a browser on a laptop with MapLibre + PMTiles, built with freestiler. I developed freestiler earlier this year to make massive interactive mapping workflows more accessible. Until recently, I hadn't been able to push it above 1 billion points. The latest batch of optimizations - coming soon to the package - make these sorts of workflows possible. In this workflow, freestiler streams in data from a parquet file, keeps memory in check by partitioning the data, and tiles in parallel with Rust. This tiling session took about 21 minutes on my MacBook with a peak memory usage under 9 GB. I'm working on making this even faster. The map here shows 1 dot for every person in India when fully zoomed in, derived from WorldPop 2026 population projections at 100m grid cells (modeled data, which is why you see uniform densities in large cities). Dots are placed randomly within those cells. I'll write up an article showing you how to do this soon.

815,076 次观看 • 1 个月前

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.

740,891 次观看 • 1 年前

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 次观看 • 9 个月前

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 次观看 • 10 个月前

I know I'm being "that guy" here but isochrone APIs have been available in other platforms for quite some time, and we have a ton of tools that help us use them. For example, Mapbox isochrones are also traffic-aware, and you can use my R packages mapboxapi and mapgl for visualization / analysis. That said, it is awesome that isochrones have landed in Google's platform. Hopefully we see more use of this instead of straight-line buffers for urban analysis!

I know I'm being "that guy" here but isochrone APIs have been available in other platforms for quite some time, and we have a ton of tools that help us use them. For example, Mapbox isochrones are also traffic-aware, and you can use my R packages mapboxapi and mapgl for visualization / analysis. That said, it is awesome that isochrones have landed in Google's platform. Hopefully we see more use of this instead of straight-line buffers for urban analysis!

80,100 次观看 • 3 个月前

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.

180,535 次观看 • 8 个月前

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.

202,012 次观看 • 9 个月前

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.

177,542 次观看 • 8 个月前

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 次观看 • 9 个月前

My product Wells Intelligence is four months old. It started as a viral map of Texas RRC data I posted last fall. Enough oil & gas people reached out about it that I decided to build a real product. I would never have attempted this two years ago - I don't have an engineering team or VC funding. Agentic AI has empowered me to take this on - helping with everything from engineering tasks to figuring out Stripe. That said, AI can't do the hardest parts. I've spent hours on the phone with customers learning what they want from the product. I've had to figure out strategies for pricing, marketing, and churn prevention. But it's been a lot of fun taking on challenges like this that I wouldn't have considered before. Four months in, Wells Intelligence pays for itself and then some. And I have some awesome new features rolling out that I'll be posting about soon. Give Wells Intelligence a try:

My product Wells Intelligence is four months old. It started as a viral map of Texas RRC data I posted last fall. Enough oil & gas people reached out about it that I decided to build a real product. I would never have attempted this two years ago - I don't have an engineering team or VC funding. Agentic AI has empowered me to take this on - helping with everything from engineering tasks to figuring out Stripe. That said, AI can't do the hardest parts. I've spent hours on the phone with customers learning what they want from the product. I've had to figure out strategies for pricing, marketing, and churn prevention. But it's been a lot of fun taking on challenges like this that I wouldn't have considered before. Four months in, Wells Intelligence pays for itself and then some. And I have some awesome new features rolling out that I'll be posting about soon. Give Wells Intelligence a try:

54,185 次观看 • 3 个月前

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.

118,679 次观看 • 8 个月前

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.

52,978 次观看 • 3 个月前

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 次观看 • 4 个月前

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.

111,710 次观看 • 10 个月前

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 次观看 • 7 个月前

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.

87,994 次观看 • 8 个月前

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.

79,646 次观看 • 8 个月前

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 次观看 • 1 年前

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 次观看 • 7 个月前

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

65,939 次观看 • 8 个月前