06-wrap-up.Rmd

# Wrap Up

We have installed packages necessary to create maps in R using _ggplot2_ and practice examples using vector data, our own point data and raster data.

We saw how to incorporate different types of data in one map and how to create maps of only the region of interest and also how to create basic publication-ready maps.


## Learning more

To learn more about how to make maps using _ggplot2_ and R, I recommend these articles. There are many others available, so have a look around and see what you can find!

[Introduction to Geospatial Raster and Vector Data with R](https://datacarpentry.org/r-raster-vector-geospatial/)

[Drawing beautiful maps programmatically with R, sf and ggplot2 — Part 1: Basics](https://www.r-spatial.org/r/2018/10/25/ggplot2-sf.html)

[Drawing beautiful maps programmatically with R, sf and ggplot2 — Part 2: Layers](https://www.r-spatial.org/r/2018/10/25/ggplot2-sf-2.html)

[Drawing beautiful maps programmatically with R, sf and ggplot2 — Part 3: Layouts](https://www.r-spatial.org/r/2018/10/25/ggplot2-sf-3.html)

[Beautiful thematic maps with ggplot2 (only)](https://timogrossenbacher.ch/2016/12/beautiful-thematic-maps-with-ggplot2-only/)

[Bivariate maps with ggplot2 and sf](https://timogrossenbacher.ch/2019/04/bivariate-maps-with-ggplot2-and-sf/)

[Making maps with R](https://geocompr.robinlovelace.net/adv-map.html)

## References