JTS Topology Suite
3d-tiles
JTS Topology Suite | 3d-tiles | |
---|---|---|
2 | 2 | |
1,857 | 2,008 | |
1.0% | 1.7% | |
8.5 | 5.3 | |
18 days ago | 6 days ago | |
Java | Batchfile | |
GNU General Public License v3.0 or later | - |
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JTS Topology Suite
- GitHub - locationtech/jts: The JTS Topology Suite is a Java library for creating and manipulating vector geometry.
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JavaScript, Python, C#...
Well, JTS Topology Suite was first written in Java and then ported to other libraries: https://github.com/locationtech/jts#derivatives-ports-to-other-languages
3d-tiles
- VRML
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Convert data to 3D tiles next format
Is there any tool available to convert geographical data (SHP for instance) to 3D Tiles Next format (as presented here https://github.com/CesiumGS/3d-tiles/blob/main/specification/README.md) that allows to manage large tileset.json file by splitting it into smaller tileset.json files attached to their corresponding bounding boxes ?
What are some alternatives?
GeoTools - Official GeoTools repository
3DTilesRendererJS - Renderer for 3D Tiles in Javascript using three.js
Spatial4j - LocationTech Spatial4j: A Geospatial Library for Java
osmnx - OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Apache SIS - Java language library for developing geospatial applications following OGC/ISO standards.
Cesium - An open-source JavaScript library for world-class 3D globes and maps :earth_americas:
Graphhopper - Open source routing engine for OpenStreetMap. Use it as Java library or standalone web server.
GeoStats.jl - An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
Geo - Geohash utitlies in java
cesium - An open-source JavaScript library for world-class 3D globes and maps :earth_americas: [Moved to: https://github.com/CesiumGS/cesium]
Jgeohash - An easy-to-implement library for the GeoHash algorithm
navigation - Repository for the discussion and research in to navigating from page to page whilst staying in immersive mode. Feature leads: Rik Cabanier and Brandon Jones