https://github.com/nickbearman/intro-r-spatial-analysis-short

This is a very short version (1-2 hours) version of my Intro to R for Spatial Analysis course
https://github.com/nickbearman/intro-r-spatial-analysis-short

Last synced: 3 months ago
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This is a very short version (1-2 hours) version of my Intro to R for Spatial Analysis course

• Host: GitHub
• URL: https://github.com/nickbearman/intro-r-spatial-analysis-short
• Owner: nickbearman
• Created: 2019-04-12T09:13:39.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-04-28T14:32:45.000Z (over 5 years ago)
• Last Synced: 2024-05-21T02:11:57.246Z (6 months ago)
• Language: R
• Homepage:
• Size: 80 MB
• Stars: 10
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Introduction to Spatial Data & Using R as a GIS

This is the material for the 1 hour very short version of my course on **Introduction to Spatial Data & Using R as a GIS**. More details on my courses are available at http://www.geospatialtrainingsolutions.co.uk. 

This course does not spend much time on the very basics of using R - if you want to find out more, there are some good tutorials at http://www.social-statistics.org/?p=764 or http://rpubs.com/nickbearman/gettingstartedwithr. 

The material for this workshop is available here:  

- [The PDF of the handout with the practical instructions (PDF, 242 KB)](https://github.com/nickbearman/intro-r-spatial-analysis/blob/master/workbook.pdf)  

- [Software requirements](https://github.com/nickbearman/intro-r-spatial-analysis/blob/master/software-requirements.txt)  

This practical was written using R 3.5.1 (2018-07-02) and RStudio 1.1.463 by Dr. Nick Bearman ([[email protected]](mailto:[email protected])). 

*This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit [http://creativecommons.org/licenses/by-sa/4.0/deed.en](http://creativecommons.org/licenses/by-sa/4.0/deed.en).*

Material will be updated periodically, usually in line with courses run by Nick Bearman.