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intro.Rmd
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intro.Rmd
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---
title: "intro"
output: html_document
---
# `r emo::ji("wave")` Hello and welcome
### me: Dr Anna Krystalli
- **Research Software Engineer**, _University of Sheffield_
+ twitter **@annakrystalli**
+ github **@annakrystalli**
+ email **a.krystalli[at]sheffield.ac.uk**
- Not a GIS expert! but
+ have used a lot of GIS in my work
+ `r emo::ji("heart")` GIS in R!
---
# Workshop materials
## Data
On github: <https://github.com/annakrystalli/gis-workshop>
+ click on **Clone or download**
+ click on **Download ZIP**
+ Unzip the file
## Handouts:
<http://annakrystalli.me/intro-r-gis/intro.html>
---
# Workshop approach
## Rstudio
We will be **working in an Rstudio project**. I recommend this workflow for all your projects because it keeps your work [**portable and self contained**](https://www.tidyverse.org/articles/2017/12/workflow-vs-script/).
We will also be using [**Rmd notebooks**](https://rmarkdown.rstudio.com/r_notebooks). I like them because you can **see the outputs of code as you write**. You can also **make notes** around your code using markdown. _See further resources for more details._
## Live coding
The majority of the workshop I will be **live coding** `r emo::ji("fearful")` so that you can follow along. You will get a lot more out of the workshop if you do.
---
# Workshop aims and objectives
- ### Understand the basics of GIS
- ### Understand spatial data types and formats
- ### Be able to work with, manipulate, combine and extract spatial data in R
- ### Be able to plot geospatial data
---
## Why GIS in R
1. It's free
2. It's powerful especially in terms of spatial analysis and statistics
3. It's a scripted language so encourages reusable, reproducible workflows
4. Recent additions to the R geospatial ecosystem (in particular package `sf`) have drastically simplified spatial data classes and workflows.
## Let's dive in!