Readings

General

There is no course text, but this one:

• Brunsdon C and L Comber. 2019. An Introduction to R for Spatial Analysis and Mapping 2nd edn. Sage, London.

might be useful for anyone who wants to extend their R knowledge. It is also available in electronic form through the library. Also very useful (and freely available online) is

• Lovelace R, J Nowosad and J Münchow. 2019. Geocomputation with R. Boca Raton: Taylor & Francis

Additional readings and useful links are organised by week, below. Some links to published materials may only work if you are logged in via the library or are on campus, depending on the exact details of library subscriptions.

Week 1 General background

Week 2 Data

Week 3 Map design and colour

Week 4 Data wrangling

Week 5 Clustering analysis

Week 6 Raster data

Weeks 7 & 8 Regression

Weeks 9, 10 & 11 Various topics