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Update version number (v9.1), add RStudio Cloud version tested on and…
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nickbearman committed Dec 8, 2021
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -4,13 +4,13 @@ This is the material for my 1 day course on **Introduction to Spatial Data & Usi
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 HTML of the handout with the practical instructions (HTML, 1.4 MB)](https://github.com/nickbearman/intro-r-spatial-analysis/releases/download/v9.0/workbook.html)
- [The HTML of the handout with the practical instructions (HTML, 1.4 MB)](https://github.com/nickbearman/intro-r-spatial-analysis/releases/download/v9.1/workbook.html)
<!-- - [Software requirements](https://github.com/nickbearman/intro-r-spatial-analysis/blob/master/software-requirements.txt) -->
<!-- - [The R Glossary and Helpsheet (PDF, 122 KB)](https://github.com/nickbearman/intro-r-spatial-analysis/releases/download/8.3/glossary-helpsheet.pdf) -->
- [The data used in the workshop (folder, total: 8.1 MB)](https://github.com/nickbearman/intro-r-spatial-analysis/tree/master/data)

This practical was written using R 4.0.2 (2020-06-22) and RStudio 1.3.1093 by Dr. Nick Bearman ([[email protected]](mailto:[email protected])).
This practical was written using R 4.0.2 (2020-06-22) and RStudio 1.3.1093 by Dr. Nick Bearman ([[email protected]](mailto:[email protected])). It has also been tested in R 4.1.2 (2021-11-01) and RStudio 2021.09.1 (RStudio Cloud).

*This work (Introduction to Spatial Data and Using R as a GIS by Nick Bearman) is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/.*

Material will be updated periodically, usually in line with courses run by Nick Bearman. It was last updated on 01/12/2021.
Material will be updated periodically, usually in line with courses run by Nick Bearman. It was last updated on 08/12/2021.
6 changes: 3 additions & 3 deletions workbook.Rmd
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---
title: "Introduction to Spatial Data and Using R as a GIS"
output:
pdf_document: default
html_document:
df_print: paged
pdf_document: default
date: "Tue 7th and Wed 8th December 2021"
---

Expand Down Expand Up @@ -679,10 +679,10 @@ This is the opportunity to use some of the techniques we have covered on your ow

----

This practical was written using R 4.0.2 (2020-06-22) and RStudio 1.3.1093 by Dr. Nick Bearman ([email protected]).
This practical was written using R 4.0.2 (2020-06-22) and RStudio 1.3.1093 by Dr. Nick Bearman ([email protected]). It has also been tested in R 4.1.2 (2021-11-01) and RStudio 2021.09.1 (RStudio Cloud).

This work (Introduction to Spatial Data and Using R as a GIS by Nick Bearman) is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/. <img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/cc.svg?ref=chooser-v1"><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/by.svg?ref=chooser-v1"><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/nc.svg?ref=chooser-v1"><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/sa.svg?ref=chooser-v1">


The latest version of the PDF is available from https://github.com/nickbearman/intro-r-spatial-analysis. This is v9.0 and this was created on `r format(Sys.time(), '%d %B %Y')`.
The latest version of the PDF is available from https://github.com/nickbearman/intro-r-spatial-analysis. This is v9.1 and this was created on `r format(Sys.time(), '%d %B %Y')`.

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