index.Rmd

---
title: "R Spatial Workshop Notes"
subtitle: "Fall Quarter 2019"
author: "Angela Li"
github-repo: spatialanalysis/workshop-notes
site: bookdown::bookdown_site
documentclass: book
output:
  bookdown::gitbook:
      css: style.css
---

# Introduction {-}

This site contains workshop notes from the R Spatial Workshop at the [Center for Spatial Data Science](https://spatial.uchicago.edu/). Workshops are held on **Tuesdays from noon-1pm** during Fall Quarter 2019. Our goal for running these workshops are to teach researchers how to work effectively with spatial data in R. This workshop mirrors the Introduction to Spatial Data Science course taught by Luc Anselin and Marynia Kolak.

You are welcome to join us in **Searle 240A** for workshops if you're a member of the UChicago campus community! Bring a laptop to follow along.

## Workshop Organization {-}

Each chapter of this [bookdown](https://bookdown.org/) book represents a 1-hour workshop taught at the center. Chapters will be uploaded after the workshop so you can self study the material.

A tentative **workshop schedule** can be found at [this link](https://spatialanalysis.github.io/events/workshop-schedules/).

**Scripts** from the workshops will be uploaded to Github following each workshop and can be found at [this link](https://github.com/spatialanalysis/workshop-scripts).

**Data** used in the workshops will be linked to in each workshop chapter or can be found on the GeoDa Center [data website](https://geodacenter.github.io/data-and-lab/). All data will eventually be found in an R package developed by the CSDS, called `geodaData` ([Github link](https://github.com/spatialanalysis/geodaData)).

You can install the development version of the data package used in these notes with:
```{r eval=FALSE}
# install.packages("remotes")
remotes::install_github("spatialanalysis/geodaData")
```


## Prior Knowledge {-}

We assume that workshop attendees have used RStudio and are familiar with the basics of R. 

If you need a refresher, this [R for Social Scientists](https://datacarpentry.org/r-socialsci/) tutorial developed by Data Carpentry is a good place to start. Additionally, Luc Anselin's introductory R lab notes can be found on the [CSDS Tutorials page](https://spatialanalysis.github.io/tutorials).

## Topics {-}

We plan to cover the following topics:

- Spatial data formats
- Projections
- Spatial data handling
- Spatial data operations
- Static maps
- Interactive maps
- Organization of research projects
- Reproducible research with R

## Additional information {-}

Workshops are run by Angela Li, R Spatial Advocate for the CSDS. If you have any questions about the following material, please reach out to her at ali6@uchicago.edu. 


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