Unit information: Spatial Modelling 2 in 2019/20

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	Introduction to Quantitative Geography
Co-requisites	None
School/department	School of Geographical Sciences
Faculty	Faculty of Science

Description including Unit Aims

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.

Intended Learning Outcomes

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
5. Undertaking a geographical research project using analytical skills

The following transferable skills are developed in the unit:

• numeracy
• statistical and computation literacy
• problem solving
• analytical skills
• Written and verbal communication
• Team working
• Project management

Teaching Information

A combination of lectures and directed practical work. Attendance at the practicals is compulsory; credit may be withheld for repeated absence.

Assessment Information

Group project, which is assessed via a group presentation (40%) (ILOs 1-5)

The group project mark includes a peer review of the group project, which constitutes 20% of the group project mark (or 8% of the overall unit mark)

Two 2-hour exams at the end of Teaching Block 2. (30% each) (ILOs 1-5)

Reading and References

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