README.Rmd

---
title: "Alternative layout for maps of Spain"
output: github_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

This repo shows three approaches to create an inset map of Spain, which shows the Canary Islands and ensures that relative sizes are preserved.

## Code

[The first approach](https://github.com/Nowosad/spain-map-layout/blob/master/R/01_first_approach.R) uses the [**tmap**](https://github.com/mtennekes/tmap) package and a ratio between the Spain continental territory and Canary Island to plot both on a map.

```{r, echo=FALSE, fig.align='center', out.height=400}
knitr::include_graphics("maps/01_map.png", dpi = NA)
```

[The second approach](https://github.com/Nowosad/spain-map-layout/blob/master/R/02_second_approach.R) uses the [**tmap**](https://github.com/mtennekes/tmap) package and moves geometries representing Canary Island closer to the Spain continental territory.

```{r, echo=FALSE, fig.align='center', out.height=400}
knitr::include_graphics("maps/02_map.png", dpi = NA)
```

[The third approach](https://github.com/Nowosad/spain-map-layout/blob/master/R/03_third_approach.R) uses the [**ggplot2**](https://ggplot2.tidyverse.org/) package and moves geometries representing Canary Island closer to the Spain continental territory.

```{r, echo=FALSE, fig.align='center', out.height=400}
knitr::include_graphics("maps/03_map.png", dpi = NA)
```

## Data

Spatial data allowing for alternative visualizations of Spain using the second approach is available in:

- [GeoPackage format](https://github.com/Nowosad/spain-map-layout/raw/master/data/spain_data.gpkg)
- [ESRI Shapefile format](https://github.com/Nowosad/spain-map-layout/raw/master/data/spain_data.zip)
- [RDS format](https://github.com/Nowosad/spain-map-layout/raw/master/data/spain_data.rds)

## Acknowledgements

Created maps were inspired by https://github.com/aaumaitre/maps_Spain, https://github.com/aaumaitre/maps_Spain/issues/1#issue-513198322, and the visualizing geospatial data chapter of [the Fundamentals of Data Visualization book](https://serialmentor.com/dataviz/geospatial-data.html).

Read [the Geocomputation with R book](https://geocompr.robinlovelace.net/) to learn more about spatial data operations and visualizations.