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---
title: "Intro to R-Spatial for Healthy Places"
date: "`r Sys.Date()`"
site: bookdown::bookdown_site
output: bookdown::gitbook
documentclass: book
bibliography: [book.bib]
biblio-style: apalike
link-citations: yes
github-repo: rstudio/bookdown-demo
description: "This was developed by the Healthy Regions - Policies Lab."
---
## Background {-}
This suite of tutorials was developed for a workshop at the 2021 R-Medicine Conference by the [Healthy Regions & Policies Lab](http://www.healthyregions.org) at the University of Illinois. It has sinced been updated for multiple workshops at the Society for Epidemiology Research Annual Meeting. This workbook is a quick (3-hour) overview of mapping, GIScience, and spatial analysis basics for health professionals.
The workbook was compiled by Marynia Kolak, co-facilitated with Qinyun Lin, with past support from Susan Paykin when HEROP was at the University of Chicago. Some coding snippets & data examples are from the phenomenal team of the [Opioid Environment Toolkit](https://geodacenter.github.io/opioid-environment-toolkit) (Moksha Menghaney, Qinyun Lin, Angela Li). The overall approach follows the Center for Spatial Data Science UChicago paradigm, led by Luc Anselin & Julia Koschinsky.
### Environment Setup {-}
A basic understanding of R is assumed. This workshop requires several packages, which can be installed from CRAN:
```{r eval=FALSE}
install.packages("sf", "tmap", "tidygeocoder")
```
For Mac users, check out https://github.com/r-spatial/sf for additional tips if you run into errors when installing the **sf** package. Using homebrew to install **gdal** usually fixes any remaining issues.