2014/15 Taught Postgraduate Module Catalogue

GEOG5891M Spatial Analysis and GIS (WUN)

15 creditsClass Size: 30

Module manager: Dr Paul Norman
Email: P.D.Norman@leeds.ac.uk

Taught: 01 Oct to 31 Dec, 1 Apr to 30 Jun (Adv pre 2223), 1 Apr to 30 June, 1 Jan to 31 Mar, 1 Jan to 31 Mar (Adv pre 2223), 1 Jul to 30 Sep, 1 Sep to 31 Dec (Adv pre 2223) View Timetable

Year running 2014/15

This module is mutually exclusive with

GEOG5520M

Quantitative and Spatial Methods

Module replaces

GEOG5075

This module is approved as an Elective

Module summary

Spatial analysis forms a critical component of many Geographical Information Systems and is a rapidly evolving area. This module provides an introduction to basic spatial statistics that allow us to describe spatial variation and pattern. We will discuss issues surrounding scale and generalisation including the modifiable area unit problem (MAUP) and ecological fallacy.

Objectives

In the context of geography relevant quantitative and spatial analysis methods the module seeks to:
1) demonstrate and explain appropriate quantitative approaches to solving geographical/spatial problems using data;
2) give students practical experience in the application of geographical analysis methods;
3) give students a detailed and critical understanding of the theoretical and practical problems involved in quantitative and spatial analysis;
4) give students an understanding of the approaches taken to solve geographical problems in academic and industry situations;
5) enable students to learn and use appropriate statistical and GIS software.

Skills outcomes
Generic C&IT skills, using everyday work examples. In addition, the implicit programme level skills.
1. Pursuit of knowledge in an in-depth, ordered and motivated way
2. Learning and independent study
3. Information processing (including IT skills): literature searches
4. Data manipulation (including IT skills): analysis of data (especially spatial data); statistical methods
5. Communication: written presentation; scientific writing
6. Management: safe and effective project planning and execution; time management

Syllabus

In particular, we will cover:
- Spatial Analysis, GIS functionality and software
- Spatial data and descriptive statistics
- Spatial statistics. Regression and correlation
- Probabilities and their use in statistical and mathematical models
- Point pattern analysis and spatial cluster hunting
- Interpolation and data estimation
- Area classification and data reduction
- Boundaries and related geographical issues including MAUP and ecological fallacy

Teaching methods

Delivery type	Number	Length hours	Student hours
Office Hour Discussions	11	1.00	11.00
Tutorial	1	4.00	4.00
Private study hours			135.00
Total Contact hours			15.00
Total hours (100hr per 10 credits)			150.00

Private study

- 50 hours to work through course material
- 20 hours to undertake reading, bibliographical research and follow up web links
- 65 hours reading, bibliographical research and preparation for assessed reports

Opportunities for Formative Feedback

Through email communication and discussion.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Report	2,000 word project report	50.00
Report	2,000 word project report	50.00
Total percentage (Assessment Coursework)		100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

There is no reading list for this module

Last updated: 06/01/2015

Disclaimer

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