#30DayMapChallenge Day 7: Accessibility Today's tip: calculate access from a location in one line of code with `mb_isochrone()` in the mapboxapi R package. Then, visualize creatively with a comparison slider in mapgl. Learn how: https://t.co/flfOEzn6vU

Interactive heatmaps that fade away to reveal points on zoom - a useful technique for handling dense spatial data. Learn how to do it: https://t.co/Ns6jcYSlOx

Try out this example to get started:

Today's mapgl tip for Day 6 of #30DayMapChallenge: Dimensions Visualize your spatial data in 3D with `add_fill_extrusion_layer()`! The key is `fill_extrusion_height`; map a column of heights here or use a helper like `interpolate()` to control how you extrude your polygons.

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Next semester I'm teaching an advanced #GIS course, Urban & Business GIS, for the first time in several years. My question to you: what are the *most important* skills / traits you are looking for in new geospatial hires in 2026? I have my thoughts, but I'd love your insights!

I got a lot of interest in yesterday's geolocation / Overture Maps places proof-of-concept. I've published the app here for you to try out yourselves: https://t.co/6gm0vygrs1 For #rstats devs, I've also published the source code here: https://t.co/zOemvhwM9G

#30DayMapChallenge Day 5: Earth Today's tip: in #rstats mapgl, use `mapboxgl(style = mapbox_style("standard-satellite"))` to get @Mapbox's high-quality imagery on an interactive globe in one line of code. Even better - you get 3D terrain out of the box!

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This has so many applications for use in the field, e.g. analyze nearby amenities for a real estate development, find nearby oil wells, compile neighborhood demographics on-the-fly. All built in #rstats and Shiny! #30DayMapChallenge Day 4: My Data

Proof-of-concept for an in-app geolocation control: - Find your location, draw a buffer (or isochrone, etc.) around it; - Query a massive tileset (64 million places from Overture Maps) to find nearby places; - Deliver that information to your app users.

Today's mapgl tip: use `add_geolocate_control()` to add a geolocation control to your map. Click to fly to your location; in Shiny, use `input$MAPID_geolocate` to get the coordinates. Great for building apps designed for use in the field! #30DayMapChallenge Day 4: My Data

1.7 million Texas oil & gas wells at your fingertips. Lasso wells on the map, download the data instantly. From selection to export in seconds.

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1.7 million Texas oil & gas wells at your fingertips. Lasso wells on the map, download the data instantly. From selection to export in seconds.

Today's mapping tip: use `pm_view()` in the pmtiles R package to get this done (and create your tiles with `pm_create()`) https://t.co/WThjLvLUU4

311,000+ Texas Land Survey System areas. Explored over satellite imagery in a single line of code. Modern geospatial technology can take your land & ownership mapping to the next level. #30DayMapChallenge Day 3: Polygons

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For Day 2 of #30DayMapChallenge (Lines): did you know that mapgl has a built-in measurement tool in its draw control? Use `show_measurements = TRUE` to interactively measure line distances (and polygon areas) on your map. #rstats

440,000+ oil and gas wells in Oklahoma. Intelligently clustered and smoothly displayed on a map with click-to-zoom. mapgl tip: use `cluster_options()` on a circle or symbol layer, no extra configuration required! #30DayMapChallenge Day 1: Points

I won't be creating original content daily this year - last year was a grind! I will be posting small mapgl tips, however - so follow here if you want to level up your mapping next month.

The #30DayMapChallenge starts tomorrow across social media platforms! Pay attention to this hashtag if you love maps - there will be tons of creative examples from around the world.

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I've been posting about PMTiles for geospatial visualization for good reason. However - you can push mapgl quite a ways without tiles! In this post, I cover how to map all 85,000+ Census tracts in the US without pre-tiling, along with performance tips. https://t.co/YAEndPhVAd