Unit name | Spatial Modelling 2 |
---|---|
Unit code | GEOG25010 |
Credit points | 20 |
Level of study | I/5 |
Teaching block(s) |
Teaching Block 4 (weeks 1-24) |
Unit director | Mr. Thomas |
Open unit status | Not open |
Pre-requisites |
GEOG10004 Introduction to Quantitative Geography |
Co-requisites |
None |
School/department | School of Geographical Sciences |
Faculty | Faculty of Science |
The unit teaches the use of R for methods of analysis common in geographical study, including regression and elements of Geographical
Information Science. A key aim of the unit is to provide quantitative teaching suitable for dissertation work, developing skills in computer
programming, geographical data handling, mapping, statistical modelling, and in the presentation and interpretation of quantitative data.
On completion of the unit students should have knowledge and experience of:
The following transferable skills are developed in the unit:
The unit will be taught through a blended combination of online and, if possible, in-person teaching, including
Group project, which is assessed via a group presentation (50%) (ILOs 1-5)
The group project mark includes a peer review of the group project, which constitutes 20% of the group project mark (or 10% of the overall unit mark)
End-of-unit coursework, max 4500 words. (50%) (ILOs 1-5)
Engagement with practicals is a requirement for the award of credit.
Essential:
Harris R, 2016, Quantitative Geography: the basics. London: Sage
Harris R & Jarvis C, 2011, Statistics for Geography and Environmental Science
other required reading will be set on a weekly basis