Unit information: Spatial Modelling 2 in 2020/21

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

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

The unit will be taught through a blended combination of online and, if possible, in-person teaching, including

• online resources
• synchronous group workshops, seminars, tutorials and/or office hours
• asynchronous individual activities and guided reading for students to work through at their own pace
• practicals; students who either begin or continue their studies in an online mode may be required to complete practical work, or alternative activities, in person, either during the academic year 2020/21 or subsequently, in order to meet the intended learning outcomes for the unit, prepare them for subsequent units or to satisfy accreditation requirements.

Assessment Information

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.

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