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#GIS

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3D Tiles: Offener Standard für performante 3D-Geodaten im Web 🌐

Große 3D-Datensätze direkt im Browser? Mit 3D Tiles längst Realität! Der offene OGC-Community-Standard teilt komplexe Daten in kleine 3D-Kacheln, die je nach Zoomstufe dynamisch und detailreich geladen werden. 🔍

Ob Point Clouds, CityGML, glTF oder 3D-Mesh aus Photogrammetrie – alles performant im Web, ganz ohne Plugins. 🗺️
Zur Demo: 3dtiles.wheregroup.com/

Mehr zu 3D in WebGIS finden Sie hier: wheregroup.com/blog/details/in

Bringing Community Mapping to GIScience 2025 🌍

Anne Schauss & Diego Pajarito (University of Glasgow) will co-host a workshop on participatory mapping bringing together researchers and practitioners, and share insights from case studies on how these initiatives shape communities — and the challenges & opportunities they bring.

👉 heigit.org/events/heigit-and-u

#CommunityMapping, #ParticipatoryResearch #GIS

Ever wondered how far your reach goes? 📍

Catchment area analysis with Graph by Quarticle helps you see:
• Where customers come from
• Foot traffic potential
• Service efficiency by distance/time
• Optimal facility placement
• Portfolio concentration in risk zones
and more.

Set a radius → visualize → layer in data for insights that drive strategy.

🎥 Watch now: youtube.com/watch?v=TXs7iZWHGdo

arXiv logo
arXiv.orgMapLibre Tile: A Next Generation Vector Tile FormatThe Mapbox Vector Tile (MVT) format is widely considered the leading open standard for large-scale map visualization, as evidenced by its widespread adoption by major technology companies such as AWS, Meta, and Microsoft for their products and services. However, MVT was developed nearly a decade ago and, consequently, does not fully align with the capabilities of new geospatial data sources that are characterized by rapidly increasing data volumes due to advancements in geospatial sensors and automated detection through artificial intelligence. In this paper, we introduce the MapLibre Tile (MLT) format, a novel vector tile specification designed from the ground up to address the limitations of MVT. Our experiments, simulating user sessions on widely used basemap datasets, demonstrate that MLT achieves up to three times better compression ratios compared to MVT on encoded tilesets, with over six times better on certain large tiles. Additionally, MLT offers decoding speeds that are up to three times faster and significantly enhances processing performance. MLT also introduces new functionalities and is specifically designed to lay the foundation for the next generation of map renderers, which we expect to entirely offload processing to the GPU, thereby overcoming the stagnation of Moore`s law.