3D Maps and Data Visualization in R with rayshader

Rayshader is an open source package that uses elevation data in a base R matrix and a combination of raytracing, hillshading algorithms, and overlays to generate stunning 2D and 3D maps. In addition to maps, rayshader also allows the user to translate ggplot2 objects into beautiful 3D data visualizations.
In this video I explore how the rayshader package in R can be used to produce 2D and 3D data visualizations. I test some of the rayshader sample code and also showcase three great sites that provide real world examples and tutorials using rayshader to produce their maps and visualizations.
[0:00] Introduction
[0:34] rayshader.com site
[2:57] Testing rayshader code
[7:08] San Francisco mapping
[8:16] Hong Kong property prices
[8:47] Grand Canyon (with TH-cam tutorial)
Rayshader site
www.rayshader.com/
San Francisco mapping wcmbishop.github.io/rayshader...
HK property prices github.com/cydalytics/HK_Prop...
Grand Canyon tutorial spencerschien.info/post/data_...
Spencer's ( @MrPecners ) TH-cam Video • Rayshader Tutorial-Flo...
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[@ELECTROKARDONA]

Excelente!

[@bisyrim1030]

good video Dr.
can you make R shiny or R markdown videos?

[@DrLyndonWalker]

Thanks. I did a basic Shiny one (using chatgpt to make a Shiny) app fairly recently th-cam.com/video/8oJ1HtkpDt0/w-d-xo.html and I have done a few on Quarto (which I would recommend over RMarkdown). My getting started one has been pretty popular th-cam.com/video/y5VcxMOnj3M/w-d-xo.html
I'm always open to suggestions on specific uses and scenarios.