#typescript #3d #amap #antv #data_visualization #geojson #geospatial #gis #javascript #line #map #mapbox #point #polygon #webgl

https://github.com/antvis/L7

#jupyter_notebook #earth_engine #geospatial #gis #google_earth_engine #notebook #notebook_jupyter #python #remote_sensing #tutorials

https://github.com/giswqs/earthengine-py-notebooks

#python #3d #3d_map #3dgis #addon #basemap #blender #delaunay_triangulation #dem #geodata #georeferencing #geospatial #gis #importexport #map #openstreetmap #raster #shapefile #terrain_model

https://github.com/domlysz/BlenderGIS

#java #astar #dijkstra #directions #geospatial #graphhopper #isochrones #map_matching #openstreetmap #pathfinding #public_transportation #routing #routing_engine

https://github.com/graphhopper/graphhopper

#python #computer_vision #datasets #deep_learning #earth_observation #geospatial #models #pytorch #remote_sensing #satellite_imagery #torchvision #transforms

https://github.com/microsoft/torchgeo

#typescript #data_visualization #geospatial_analysis #javascript #maps #python #visualization #webgl

deck.gl is a powerful tool that helps you create fast, interactive, and visually impressive maps and data visualizations using WebGL technology. It lets you turn large sets of data into layers like icons, polygons, and text, which you can view in different ways such as maps or 3D scenes. It works well with popular map providers like Google Maps and Mapbox, and supports easy interaction like clicking and filtering. You can use it simply by adding a script or installing it via npm or Python. This makes it easier for you to build custom, high-performance visualizations quickly and with less coding effort.

https://github.com/visgl/deck.gl