Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with
or
.
Download ZIP
Introductory tutorial on graphical display of geographical information in R.
TeX R
Branch: master
Failed to load latest commit information.
R Updates and new vignettes
backup-code Updates for ncl course
course-info Further updates to the handouts - Central London, Crime plot, etc
data Updates and new vignettes
feature-requests Preparing for 2015 courses
figure New references, updated colors for facet plot.
latex final pdf compile
spatial-data-figure updates
vignettes Details on multipart geojsons
.gitignore New references, updated colors for facet plot.
Creating-maps-in-R.Rproj tidied up repo, removed most figures, much more portable .zip file
Practical-intro-to-R.Rmd Updates for ncl course
R-spatial-pres.Rmd without rstudio in package name
README.md Update README.md
citation.bib updates to tutorial
intro-spatial-rl.pdf New references, updated colors for facet plot.
intro-spatial.Rmd New references, updated colors for facet plot.
myscript.R added all updates following November 10th workshop
r-gis-command-line.Rmd Prep for Jornadas de SIG Libre
r-spatial-ref-card.Rmd Spatial aggregation and ggplot2
r-spatial-ref-card.pdf added all updates following November 10th workshop
spatial-data.Rpres added all updates following November 10th workshop
spatial-data.md added all updates following November 10th workshop

README.md

Creating-maps-in-R

Introductory tutorial on graphical display of geographical information in R, to contribute to teaching material. For the context of this tutorial and a video introduction, please see here: http://robinlovelace.net/r/2014/01/30/spatial-data-with-R-tutorial.html

All of the information needed to run the tutorial is contained in a single pdf document that is kept updated: see github.com/Robinlovelace/Creating-maps-in-R/raw/master/intro-spatial-rl.pdf.

By the end of the tutorial you should have the confidence and skills needed to convert a diverse range of geographical and non-geographical datasets into meaningful analyses and visualisations. Using data and code provided in this repository all of the results are reproducible, culminating in publication-quality maps such as the faceted map of London's population below:

image-lnd

If you have any feedback on this tutorial please let us know via email or via this repository. Contibutions to the .Rmd file (intro-spatial.Rmd) are welcome. Happy mapping!

Something went wrong with that request. Please try again.