https://github.com/edzer/ogh20

https://github.com/edzer/ogh20

Last synced: 25 days ago
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• Host: GitHub
• URL: https://github.com/edzer/ogh20
• Owner: edzer
• Created: 2020-08-12T09:53:33.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2020-08-19T09:09:08.000Z (about 4 years ago)
• Last Synced: 2024-06-11T18:27:39.322Z (5 months ago)
• Language: R
• Homepage: https://edzer.github.io/OGH20
• Size: 4.72 MB
• Stars: 3
• Watchers: 4
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# Handling and Analyzing Vector and Raster Data Cubes with R

Tutorial for the [OpenGeoHub 2020 summer school](https://opengeohub.org/summer_school_2020)

Summary: vector and raster data cubes include vector and raster

data as special cases, but extend this to vector time series, OD

matrices, multi-band raster data, multi-band raster time series,

multi-attribute vector or raster time series, and more general

to array data where one ore more dimensions are associated with

space and/or with time. Examples come from pretty much all areas

dealing with spatiotemporal data. This tutorial will go through a

large number of examples to illustrate this idea, mostly focusing

on the packages `stars` and `sf` and those supporting their classes

(like tmap, mapview, gstat, ggplot2).

Slides: 

* https://edzer.github.com/OGH20

* training.Rmd slides: https://edzer.github.com/OGH20/training.html