resources.qmd

---
title: "Resources"
---

## Hands-on Exercises

- [Code for Workshop -- Spring 2020](https://github.com/engine143/map-spring2020)


## Supporting Materials

- [**Slides**](/slides/)

- [Guide to geospatial applications using the R programming language](https://guides.library.duke.edu/r-geospatial)


## Supporting Materials

- [R We having Fun Yet‽](https://rfun.library.duke.edu/#portfolio): aka "**Rfun**".  Free face-to-face, hands-on learning lab series for the Duke University Community.  
- [simple features](https://r-spatial.github.io/sf/) package
- [mapview](https://r-spatial.github.io/mapview/) - package
- [tidycensus](https://walkerke.github.io/tidycensus/)
- [tigiris](https://github.com/walkerke/tigris) _get shapefiles_
- [_Geocomputation with R_](https://geocompr.robinlovelace.net/) by Lovelace, Nowosad, and Muenchow
- [Spatial Data Science](https://keen-swartz-3146c4.netlify.com/) - by Pebesma and Bivand
- [Interactive Primers](https://rstudio.cloud/learn/primers):  Free interactive mini-labs for learning R/Tidyverse 
- [R for Data Science](https://r4ds.had.co.nz/): Book by Garrett Grolemund and Hadley Wickham.  Free, online.
- [Tidyverse Documentation](https://www.tidyverse.org/packages/)