https://github.com/animesh/geocompr

Open source book: Geocomputation with R

https://github.com/animesh/geocompr

Repository

Open source book: Geocomputation with R

https://github.com/animesh/geocompr/blob/main/

# Geocomputation with R



[![Binder](http://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/robinlovelace/geocompr/main?urlpath=rstudio)
[![RstudioCloud](images/cloud.png)](https://rstudio.cloud/project/1642300)
[![Actions](https://github.com/Robinlovelace/geocompr/workflows/Render/badge.svg)](https://github.com/Robinlovelace/geocompr/actions)
[![Docker](https://img.shields.io/docker/pulls/geocompr/geocompr?style=plastic)](https://github.com/geocompr/docker/)
[![discord](https://img.shields.io/discord/878051191374876683?label=discord&logo=Discord&color=blue)](https://discord.gg/PMztXYgNxp)




## Introduction

This repository hosts the code underlying Geocomputation with R, a book
by [Robin Lovelace](https://www.robinlovelace.net/), [Jakub
Nowosad](https://jakubnowosad.com/), and [Jannes
Muenchow](https://github.com/jannes-m). If you find the contents useful,
please [cite
it](https://github.com/Robinlovelace/geocompr/raw/main/CITATION.bib) as
follows:

> Lovelace, Robin, Jakub Nowosad and Jannes Muenchow (2019).
> Geocomputation with R. The R Series. CRC Press.

The first version of the book has been published by [CRC
Press](https://www.crcpress.com/9781138304512) in the [R
Series](https://www.routledge.com/Chapman--HallCRC-The-R-Series/book-series/CRCTHERSER)
and can be viewed online at
[bookdown.org](https://bookdown.org/robinlovelace/geocompr/). Read the
latest version at
[geocompr.robinlovelace.net](https://geocompr.robinlovelace.net/).

### Note: we are actively working on the Second Edition 

Since commencing work on the Second Edition in September 2021 much has
changed, including:

- Replacement of `raster` with `terra` in Chapters 1 to 7 (see commits
  related to this update
  [here](https://github.com/Robinlovelace/geocompr/search?q=terra&type=commits))
- Update of Chapter 7 to include mention alternative ways or reading-in
  OSM data in
  [\#656](https://github.com/Robinlovelace/geocompr/pull/656)
- Refactor build settings so the book builds on Docker images in the
  [geocompr/docker](https://github.com/geocompr/docker) repo
- Improve the experience of using the book in Binder (ideal for trying
  out the code before installing or updating the necessary R packages),
  as documented in issue
  [\#691](https://github.com/Robinlovelace/geocompr/issues/691) (thanks
  to [yuvipanda](https://github.com/yuvipanda))
- Improved communication of binary spatial predicates in Chapter 4 (see
  [\#675](https://github.com/Robinlovelace/geocompr/pull/675))
- New section on the links between subsetting and clipping (see
  [\#698](https://github.com/Robinlovelace/geocompr/pull/698)) in
  Chapter 5
- New
  [section](https://geocompr.robinlovelace.net/spatial-operations.html#de-9im-strings)
  on the dimensionally extended 9 intersection model (DE-9IM)
- New [chapter](https://geocompr.robinlovelace.net/raster-vector.html)
  on raster-vector interactions split out from Chapter 5
- New
  [section](https://geocompr.robinlovelace.net/spatial-class.html#the-sfheaders-package)
  on the **sfheaders** package
- New
  [section](https://geocompr.robinlovelace.net/spatial-class.html#s2) in
  Chapter 2 on spherical geometry engines and the **s2** package
- Replacement of code based on the old **mlr** package with code based
  on the new **mlr3** package, as described in a huge [pull
  request](https://github.com/Robinlovelace/geocompr/pull/771)
  
  




See
[https://github.com/Robinlovelace/geocompr/compare/1.9main](https://github.com/Robinlovelace/geocompr/compare/1.9...main#files_bucket)
for a continuously updated summary of the changes to date. At the time
of writing (April 2022) there have been more than 10k lines of
code/prose added, lots of refactoring!

[![](https://user-images.githubusercontent.com/1825120/140612663-e62566a2-62ab-4a22-827a-e86f5ce7bd63.png)](https://github.com/Robinlovelace/geocompr/compare/1.9...main)

Contributions at this stage are very welcome.

## Contributing

We encourage contributions on any part of the book, including:

- improvements to the text, e.g.clarifying unclear sentences, fixing
  typos (see guidance from [Yihui
  Xie](https://yihui.org/en/2013/06/fix-typo-in-documentation/));
- changes to the code, e.g.to do things in a more efficient way;
- suggestions on content (see the projects [issue
  tracker](https://github.com/Robinlovelace/geocompr/issues));
- improvements to and alternative approaches in the Geocompr solutions
  booklet hosted at
  [geocompr.github.io/solutions](https://geocompr.github.io/solutions/)
  (see a blog post on how to update solutions in files such as
  [\_01-ex.Rmd](https://github.com/Robinlovelace/geocompr/blob/main/_01-ex.Rmd)
  [here](https://geocompr.github.io/post/2022/geocompr-solutions/))

See
[our-style.md](https://github.com/Robinlovelace/geocompr/blob/main/misc/our-style.md)
for the books style.

Many thanks to all contributors to the book so far via GitHub (this list
will update automatically): [prosoitos](https://github.com/prosoitos),
[florisvdh](https://github.com/florisvdh),
[katygregg](https://github.com/katygregg),
[Lvulis](https://github.com/Lvulis),
[rsbivand](https://github.com/rsbivand),
[iod-ine](https://github.com/iod-ine),
[KiranmayiV](https://github.com/KiranmayiV),
[babayoshihiko](https://github.com/babayoshihiko),
[cuixueqin](https://github.com/cuixueqin),
[defuneste](https://github.com/defuneste),
[zmbc](https://github.com/zmbc),
[erstearns](https://github.com/erstearns),
[FlorentBedecarratsNM](https://github.com/FlorentBedecarratsNM),
[dcooley](https://github.com/dcooley),
[marcosci](https://github.com/marcosci),
[appelmar](https://github.com/appelmar),
[MikeJohnPage](https://github.com/MikeJohnPage),
[eyesofbambi](https://github.com/eyesofbambi),
[darrellcarvalho](https://github.com/darrellcarvalho),
[nickbearman](https://github.com/nickbearman),
[tyluRp](https://github.com/tyluRp),
[giocomai](https://github.com/giocomai),
[KHwong12](https://github.com/KHwong12),
[LaurieLBaker](https://github.com/LaurieLBaker),
[MarHer90](https://github.com/MarHer90),
[mdsumner](https://github.com/mdsumner),
[pat-s](https://github.com/pat-s), [e-clin](https://github.com/e-clin),
[gisma](https://github.com/gisma),
[ateucher](https://github.com/ateucher),
[annakrystalli](https://github.com/annakrystalli),
[andtheWings](https://github.com/andtheWings),
[kant](https://github.com/kant),
[gavinsimpson](https://github.com/gavinsimpson),
[Himanshuteli](https://github.com/Himanshuteli),
[yutannihilation](https://github.com/yutannihilation),
[jimr1603](https://github.com/jimr1603),
[jbixon13](https://github.com/jbixon13),
[olyerickson](https://github.com/olyerickson),
[yvkschaefer](https://github.com/yvkschaefer),
[katiejolly](https://github.com/katiejolly),
[kwhkim](https://github.com/kwhkim), [layik](https://github.com/layik),
[mpaulacaldas](https://github.com/mpaulacaldas),
[mtennekes](https://github.com/mtennekes),
[mvl22](https://github.com/mvl22),
[ganes1410](https://github.com/ganes1410),
[richfitz](https://github.com/richfitz),
[wdearden](https://github.com/wdearden),
[yihui](https://github.com/yihui),
[adambhouston](https://github.com/adambhouston),
[chihinl](https://github.com/chihinl),
[cshancock](https://github.com/cshancock),
[ec-nebi](https://github.com/ec-nebi),
[gregor-d](https://github.com/gregor-d),
[jasongrahn](https://github.com/jasongrahn),
[p-kono](https://github.com/p-kono),
[pokyah](https://github.com/pokyah),
[schuetzingit](https://github.com/schuetzingit),
[sdesabbata](https://github.com/sdesabbata),
[tim-salabim](https://github.com/tim-salabim),
[tszberkowitz](https://github.com/tszberkowitz).

During the project we aim to contribute upstream to the packages that
make geocomputation with R possible. This impact is recorded in
[`our-impact.csv`](https://github.com/Robinlovelace/geocompr/blob/main/misc/our-impact.csv).

## Downloading the source code

The recommended way to get the source code underlying Geocomputation
with R on your computer is by cloning the repo. You can can that on any
computer with [Git](https://github.com/git-guides/install-git) installed
with the following command:

``` bash
git clone https://github.com/Robinlovelace/geocompr.git
```

An alternative approach, which we recommend for people who want to
contribute to open source projects hosted on GitHub, is to install the
[`gh` CLI tool](https://github.com/cli/cli#installation). From there
cloning a fork of the source code, that you can change and share
(including with Pull Requests to improve the book), can be done with the
following command:

``` bash
git fork robinlovelace/geocompr # (gh repo clone robinlovelace/geocompr # also works)
```

Both of those methods require you to have Git installed. If not, you can
download the books source code from the URL

. Download/unzip the source code from the R command line to increase
reproducibility and reduce time spent clicking around:

``` r
u = "https://github.com/Robinlovelace/geocompr/archive/refs/heads/main.zip"
f = basename(u)
download.file(u, f)        # download the file
unzip(f)                   # unzip it
file.rename(f, "geocompr") # rename the directory
rstudioapi::openProject("geococompr") # or open the folder in vscode / other IDE
```

## Reproducing the book in R/RStudio/VS Code

To ease reproducibility, we created the `geocompkg` package. Install it
with the following commands:

``` r
install.packages("remotes")
# To reproduce the first Part (chapters 1 to 8):
remotes::install_github("geocompr/geocompkg")
```

Installing `geocompkg` will also install core packages required for
reproducing **Part 1 of the book** (chapters 1 to 8). Note: you may also
need to install [system
dependencies](https://github.com/r-spatial/sf#installing) if youre
running Linux (recommended) or Mac operating systems. You also need to
have the [**remotes**](https://github.com/r-lib/remotes/) package
installed:

To reproduce book **in its entirety**, run the following command (which
installs additional Suggests packages, this may take some time to
run!):

``` r
# To reproduce all chapters (install lots of packages, may take some time!)
remotes::install_github("geocompr/geocompkg", dependencies = TRUE)
```

You need a recent version of the GDAL, GEOS, PROJ and udunits libraries
installed for this to work on Mac and Linux. See the **sf** packages
[README](https://github.com/r-spatial/sf) for information on that. After
the dependencies have been installed you should be able to build and
view a local version the book with:

``` r
# Change this depending on where you have the book code stored:
rstudioapi::openProject("~/Downloads/geocompr")
 # or code /location/of/geocompr in the system terminal
 # or cd /location/of/geocompr then R in the system terminal, then:
bookdown::render_book("index.Rmd") # to build the book
browseURL("_book/index.html")      # to view it
```





## Geocompr in a devcontainer

A great feature of VS Code is
[devcontainers](https://code.visualstudio.com/docs/remote/containers),
which allow you to develop in an isolated Docker container. If you have
VS Code and the necessary dependencies installed on your computer, you
can build Geocomputation with R in a devcontainer as shown below (see
[\#873](https://github.com/Robinlovelace/geocompr/issues/873) for
details):

![](https://user-images.githubusercontent.com/1825120/193398022-bbcfbfda-5d57-4c57-8db3-ed1fdb4a07be.png)

## Geocompr in Binder

For many people the quickest way to get started with Geocomputation with
R is in your web browser via Binder. To see an interactive RStudio
Server instance click on the following button, which will open
[mybinder.org](https://mybinder.org/v2/gh/robinlovelace/geocompr/main?urlpath=rstudio)
with an R installation that has all the dependencies needed to reproduce
the book:

[![Launch Rstudio
Binder](http://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/robinlovelace/geocompr/main?urlpath=rstudio)

You can also have a play with the repo in RStudio Cloud by clicking on
this link (requires log-in):

[![Launch Rstudio
Cloud](images/cloud.png)](https://rstudio.cloud/project/1642300)

## Geocomputation with R in a Docker container

To ease reproducibility we have made Docker images available, at
[geocompr/geocompr](https://hub.docker.com/r/geocompr/geocompr/) on
DockerHub. These images allow you to explore Geocomputation with R in a
virtual machine that has up-to-date dependencies.

After you have [installed
docker](https://www.docker.com/products/container-runtime/) and set-it
up on [your
computer](https://docs.docker.com/engine/install/linux-postinstall/) you
can start RStudio Server without a password (see the [Rocker
project](https://www.rocker-project.org/use/managing_users/) for info on
how to add a password and other security steps for public-facing
servers):

``` sh
docker run -p 8787:8787 -e DISABLE_AUTH=TRUE geocompr/geocompr
```

If it worked you should be able to open-up RStudio server by opening a
browser and navigating to  resulting in an
up-to-date version of R and RStudio running in a container.

Start a plain R session running:

``` sh
docker run -it geocompr/geocompr R
```

![](https://user-images.githubusercontent.com/1825120/39538109-9b50e7ac-4e33-11e8-93b3-e00e95a79294.png)

If you see something like this after following the steps above,
congratulations: it worked! See
[github.com/rocker-org](https://github.com/rocker-org/rocker/wiki/Using-the-RStudio-image#running-rstudio-server)
for more info.

If you want to call QGIS from R, you can use the `qgis` tag, by running
the following command for example (which also shows how to set a
password and use a different port on localhost):

    docker run -d -p 8799:8787 -e USERID=$UID -e PASSWORD=strongpass -v $(pwd):/home/rstudio/geocompr robinlovelace/geocompr:qgis

From this point to *build* the book you can open projects in the
`geocompr` directory from the project box in the top-right hand corner,
and knit `index.Rmd` with the little `knit` button above the the RStudio
script panel (`Ctl+Shift+B` should do the same job).

See the
[geocompr/docker](https://github.com/geocompr/docker#geocomputation-with-r-in-docker)
repo for details, including how to share volumes between your computer
and the Docker image, for using geographic R packages on your own data
and for information on available tags.

## Reproducing this README

To reduce the books dependencies, scripts to be run infrequently to
generate input for the book are run on creation of this README.

The additional packages required for this can be installed as follows:

``` r
source("code/extra-pkgs.R")
```

With these additional dependencies installed, you should be able to run
the following scripts, which create content for the book, that weve
removed from the main book build to reduce package dependencies and the
books build time:

``` r
source("code/01-cranlogs.R")
source("code/sf-revdep.R")
source("code/09-urban-animation.R")
source("code/09-map-pkgs.R")
```

Note: the `.Rproj` file is configured to build a website not a single
page. To reproduce this
[README](https://github.com/Robinlovelace/geocompr/blob/main/README.Rmd)
use the following command:

``` r
rmarkdown::render("README.Rmd", output_format = "github_document", output_file = "README.md")
```





## Citations

To cite packages used in this book we use code from [Efficient R
Programming](https://csgillespie.github.io/efficientR/):

``` r
# geocompkg:::generate_citations()
```

This generates .bib and .csv files containing the packages. The current
of packages used can be read-in as follows:

``` r
pkg_df = readr::read_csv("extdata/package_list.csv")
```

Other citations are stored online using Zotero.

If you would like to add to the references, please use Zotero, join the
[open group](https://www.zotero.org/groups/418217/energy-and-transport)
add your citation to the open [geocompr
library](https://www.zotero.org/groups/418217/energy-and-transport/items/collectionKey/9K6FRP6N).

We use the following citation key format:

    [auth:lower]_[veryshorttitle:lower]_[year]

This can be set from inside Zotero desktop with the Better Bibtex plugin
installed (see
[github.com/retorquere/zotero-better-bibtex](https://github.com/retorquere/zotero-better-bibtex))
by selecting the following menu options (with the shortcut `Alt+E`
followed by `N`), and as illustrated in the figure below:

    Edit > Preferences > Better Bibtex

![](figures/zotero-settings.png)

Zotero settings: these are useful if you want to add references.

We use Zotero because it is a powerful open source reference manager
that integrates well with the **citr** package. As described in the
GitHub repo
[Robinlovelace/rmarkdown-citr-demo](https://github.com/Robinlovelace/rmarkdown-citr-demo).

Owner

GitHub Events