<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Geospatial on Noureddine RAMDI</title><link>https://ramdi.fr/tags/geospatial/</link><description>Recent content in Geospatial on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/geospatial/index.xml" rel="self" type="application/rss+xml"/><item><title>A comprehensive resource for frontend GIS development: Exploring joewdavies/awesome-frontend-gis</title><link>https://ramdi.fr/github-stars/a-comprehensive-resource-for-frontend-gis-development-exploring-joewdavies-awesome-frontend-gis/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-comprehensive-resource-for-frontend-gis-development-exploring-joewdavies-awesome-frontend-gis/</guid><description>An extensive curated collection of frontend geospatial tools and libraries for browser-based GIS development, highlighting architectural tradeoffs and practical navigation tips.</description></item><item><title>deck.gl-raster: GPU-accelerated client-side rendering of massive geospatial rasters</title><link>https://ramdi.fr/github-stars/deck-gl-raster-gpu-accelerated-client-side-rendering-of-massive-geospatial-rasters/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/deck-gl-raster-gpu-accelerated-client-side-rendering-of-massive-geospatial-rasters/</guid><description>deck.gl-raster streams and renders huge Cloud-Optimized GeoTIFFs entirely in-browser using WebGL2, avoiding servers and preprocessing. It enables fast, scalable geospatial visualization of raw raster data.</description></item><item><title>GIS-MCP: enabling LLM-driven geospatial analysis through a Model Context Protocol server</title><link>https://ramdi.fr/github-stars/gis-mcp-enabling-llm-driven-geospatial-analysis-through-a-model-context-protocol-server/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/gis-mcp-enabling-llm-driven-geospatial-analysis-through-a-model-context-protocol-server/</guid><description>GIS-MCP is a Python MCP server that exposes geospatial operations as structured tools for LLMs, bridging natural language and GIS workflows without coding.</description></item><item><title>forge3d: shipping a high-performance Rust GPU renderer as Python wheels with async viewer APIs</title><link>https://ramdi.fr/github-stars/forge3d-shipping-a-high-performance-rust-gpu-renderer-as-python-wheels-with-async-viewer-apis/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/forge3d-shipping-a-high-performance-rust-gpu-renderer-as-python-wheels-with-async-viewer-apis/</guid><description>forge3d is a Rust-based cross-platform 3D renderer exposed as Python wheels with async viewer sessions, terrain and point cloud support, and an open-core licensing model.</description></item></channel></rss>