Visualization of geospatial data

Visualization of geospatial data with
Author: Yusuf Bozkurt is an easy-to-use toolbox for geospatial analysis. With, creating data-driven maps becomes a straightforward process. It supports you with powerful and intuitive functionalities to create beautiful data-driven maps and gain quick insights from location data. is built on, which is a WebGL* framework for visual data analysis based on large datasets. was developed in 2018 by Uber and contributed to the Urban Computing Foundation in 2019. It is distributed under the MIT open source license. is highly customizable, and it can be embedded in applications or used in web browser.

* WebGL is a JavaScript API for rendering graphics without any plugins and extension in any modern web browser.

How can this help me?

Working with is easy for both technical and non-technical users.  

With, the visualization of large amount of location data within the web browser or application becomes a straightforward process, helping not merely with visualization but also with gaining insights from data. It comes with various interactive functionalities such as filters and playback over time. In this way, it can be used for visualization and data analysis in different projects with a geospatial context.

To get a first impression and inspiration please have a look at the sample use cases and maps.

How can I use and what are its benefits?

The easiest way to get started with is using your web browser. Create your first map in only a few steps. is a client-side application with no server backend. That means your data lives only on your browser and is not sent to any server.

The usual workflow is as follows:

  1. Add data to the map
  2. Create data layers
  3. Add filters
  4. Customize your map settings
  5. If needed: save your map as an image and export it as a json file

For developers: For more information on how to embed in your own application please visit on GitHub

Country of origin: US
Institution: Urban Computing Foundation – contributed by Uber Corp
Target group: Data scientists, map enthusiasts, developer

image: Brigitte Braun, screenshot of demo data from, april 2020

Monday, April 27, 2020

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