Nebula.gl is a browser-based geometry editing library, written in TypeScript. A GeoJSON file with various geometry types is edited via nebula.gl’s EditableGeoJsonLayer. In the above demo, kepler.gl uses nebula.gl-powered react-map-gl-draw to filter data based on a polygon drawn by the user (see this for more context).Ī core offering of nebula is its full-featured GeoJSON editing capability, which handles the following geometry types of the GeoJSON specification: Point, MultiPoint, LineString, MultiLineString, Polygon, and MultiPolygon as well as working with geometries with an altitude component. Due to this integration, users control how geometries are rendered, allowing for customizing the color, size, dashed lines, icons, as well as the cursor based on the state of the edits. Īs a result, nebula.gl seamlessly integrates with all geospatial deck.gl layers, allowing for GeoJSON editing to be interleaved with rich 3D visualizations. Nebula.gl is a member of the vis.gl ecosystem and integrates seamlessly with other vis.gl frameworks such as deck.gl and loaders.gl. nebula.gl’s“Extrude” edit mode lets users trace building footprints. There are even more powerful modes such as one we built at Uber for tracing building footprints. Unioning, intersecting, and subtracting shapes.Translating, Scaling, and Rotating multiple shapes.
Nebula.gl provides the basic geometry drawing and editing tools for points, lines, circles, rectangles, and polygons, but goes a step further than most solutions by providing over 30 modes for drawing, editing, and measuring geometries. In this demonstration of nebula.gl, we use the tool to edit a complex polygon with 14,000 points, enough points to cause other browser-based tools to freeze. nebula.gl handles all events, such as click, drag, and pointer move events, and includes touch screen support, so that applications can focus on their application logic. We designed nebula.gl from the ground up to provide optimized rendering and editing performance, without the need for complex application logic, such as splitting data into subgroups or custom data diffing. nebula.gl, built on deck.gl, heavily utilizes WebGL and the GPU to deliver fast visualizing and editing, even with many thousands of coordinates. Many other browser-based solutions will freeze or crash when attempting to load data sets with many thousands of coordinates. When working with large geospatial data sets, libraries can become quite slow if they rely too much on the CPU or the browser Document Object Model (DOM). High-performance editing of large data sets nebula.gl lets users draw a variety of geometry types.
nebula.gl adds sophisticated interactivity, unlocking an infinitely customizable set of geospatial data editing capabilities. We built nebula.gl upon Uber’s broader visualization ecosystem, including the open source tools deck.gl and vis.gl, which are used for performant visualization of static data sets. To this end, Uber built and open sourced nebula.gl, a tool set designed for full-featured, accessible, and performant geometry editing in a web browser, even when working with massive data sets.
#NEBULA 3 GPU UPDATE#
From predicting the most accurate estimated times of arrival (ETAs) to determining the best driving routes, geospatial data empowers us to deliver improved experiences for users across the globe.īut map data is large and complex, and because the world is always changing, we need to update map data frequently. Geospatial data, or data tied to a specific, real-world location, is integral to Uber’s ability to better understand the cities we serve.
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