May 1, 2024
3 minute read
Kepler GL is a powerful open-source visualization library for geospatial data. It enables users to create interactive, 3D maps and charts that can be used to explore and analyze data in a variety of ways. Kepler GL is used by a wide range of organizations, including government agencies, non-profits, and businesses, to visualize data on topics such as public health, climate change, and urban planning.
Why Learn Kepler GL?
There are many reasons why someone might want to learn Kepler GL. Some of the most common reasons include:
l92s4w|
Find a path to becoming a Kepler GL. Learn more at:
OpenCourser.com/topic/l92s4w/kepler
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Kepler GL.
A comprehensive overview of geospatial data visualization using Kepler.gl, written by leading experts in the field.
Provides a comprehensive overview of the field of geovisualization, covering topics such as data acquisition, data processing, visual representation, and user interaction. It valuable resource for anyone interested in learning more about this rapidly growing field.
A collection of recipes and code examples for solving common problems and tasks in Kepler.gl.
Provides a comprehensive overview of the theory and practice of interactive data visualization for the web. It covers a wide range of topics, from basic data visualization techniques to advanced interactive visualization techniques.
Provides a comprehensive overview of the theory and practice of map projections. It covers a wide range of topics, from basic map projection concepts to advanced map projection techniques.
Provides a comprehensive overview of the theory and practice of spatial statistics and econometrics. It covers a wide range of topics, from basic statistical methods to advanced spatial analysis techniques.
Provides a comprehensive overview of the theory and practice of geocomputation with R. It covers a wide range of topics, from basic statistical methods to advanced spatial analysis techniques.
A French-language guide to creating interactive data visualizations using Kepler.gl, covering topics such as data preparation, visualization design, and deployment.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/l92s4w/kepler
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