| 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 |
Geographical Methods |
| 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:
1) Using R to process and to handle quantitative data
2) Fitting and interpreting regression models, and of the statistical theory of regression
3) Applying statistical and geographical methods of analysis to data
4) Presenting and interpreting geographical information
The following transferable skills are developed in the unit:
numeracy
statistical and computation literacy
problem solving
analytical skills
A combination of lectures, seminars and directed practical work. Attendance at the practicals is compulsory; credit points may be withheld for repeated absence.
Group project (32%) (ILOs 1-5)
One 3 hour exam (May/June) (68%) (ILOs 1-5)
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
