{geodensity} by Andrew Brown provides fast kernel density estimation, calculating density directly on the Earth’s surface using great-circle distances.

{geodensity} by Andrew Brown provides fast kernel density estimation, calculating density directly on the Earth’s surface using great-circle distances.
{geodensity} by Andrew Brown provides fast kernel density estimation, calculating density directly on the Earth’s surface using great-circle distances.
It's October 1st which means there's only 1 month until the #30DayMapChallenge 🗺️
📊 Visualization for Social Data Science is an open online book by Roger Beecham on using visualization and statistics to explore social science data.
(It also includes many great maps!)
📊 Visualization for Social Data Science is an open online book by Roger Beecham on using visualization and statistics to explore social science data.
(It also includes many great maps!)
⛰️ Want to see geomorphometry in action?
Book chapter "Geomorphometry Using Open-Source Programming Languages" comes with a companion collection of code and practical examples in #Rspatial #Geopython #Juliageo.
💻 Code: github.com/geomorphomet...
⛰️ Want to see geomorphometry in action?
Book chapter "Geomorphometry Using Open-Source Programming Languages" comes with a companion collection of code and practical examples in #Rspatial #Geopython #Juliageo.
📖 Chapter […]
The {maposm} #RStats 📦 "downloads OpenStreetMap layers, which are then selected, simplified, merged or modified to create a set of composite layers of urban areas, buildings, green spaces, main roads, secondary roads, railways, and water bodies."-Timothée Giraud
#RSpatial @openstreetmap.bsky.social
Want to work with the AlphaEarth Embedding data from R? 🛰️🌍
Felipe Carlos has developed an R package that makes it easier to search and retrieve AlphaEarth embeddings for your area of interest.
Want to work with the AlphaEarth Embedding data from R? 🛰️🌍
Felipe Carlos has developed an R package that makes it easier to search and retrieve AlphaEarth embeddings for your area of interest.
Whenever a dataset has location info, I like to start with a map.
This week’s #TidyTuesday data tracks urban green space since 1990 — and it’s global. First cut looks like it is trending toward less green area per person worldwide. #rstats #dataviz #rspatial
Any #rspatial folks ever encountered an issue like this with leaflet.extras when using addSearchFeatures()? The zoom parameter doesn’t seem to work as expected when multiple groups with the same geometry are used, but seems fine with different geoms […]
Mapping projects often stall on missing licenses when collaborators don't have the same software. This year I've been using the sf package: open source, and I can share my work with anyone. What's your open source GIS stack? sf: [https://r-spatial.github.io/sf/](r-spatial.github.io/sf/) #rspatial
At work I use R, Python, and ArcGIS to run spatial analysis and make maps. 🗺️ #rspatial
Loveeee seeing {h3o} being used for new use cases!!
A new R package for redistributing counts to flexible spatial grids 🗺️
Christopher D. Higgins’ `{pycnogrid}` implements pycnophylactic interpolation for H3, A5, S2, ISEA, raster, and local hexagonal grids, while preserving the original totals.
🚀 NLMR 1.4.0 is now on GitHub!
A major terra migration, new `landscape_classify()` & `catalog_nlm()` helpers, and more.
(⚠️ `nlm_fbm()` & `nlm_gaussianfield()` are currently missing -- still figuring out the best way forward for these two functions)
{geoarrowrs} is very competitive with {duckspatial} and even when calculating the **correct** distances on geodesic data #rspatial