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2018/19 Taught Postgraduate Module Catalogue

GEOG5891M Spatial Analysis and GIS (WUN)

15 creditsClass Size: 30

Module manager: Dr Nick Hood
Email: n.a.hood@leeds.ac.uk

Taught: 1 Apr to 31 Jul, 1 Apr to 31 July (adv yr), 1 Oct to 31 Jan, 1 Oct to 31 Jan (adv yr) View Timetable

Year running 2018/19

This module is mutually exclusive with

GEOG5520MQuantitative and Spatial Methods

Module replaces

GEOG5075

This module is not 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.

Objectives

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

Skills outcomes
Knowledge of data types and their relationships to geographical entities.

Familiarity with traditional statistical models including skills in carrying out correlation and multiple regression of geographically referenced data using statistical software (currently SPSS).

Skills in carrying out spatial analyses using GIS and other application specific software (mainly ArcGIS).

Skills in the interpretation and display of model outputs.


Syllabus

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

Teaching methods

Delivery typeNumberLength hoursStudent hours
Discussion forum101.0010.00
Independent online learning hours50.00
Private study hours90.00
Total Contact hours10.00
Total hours (100hr per 10 credits)150.00

Private study

To undertake reading, research and preparation of assessed work

Opportunities for Formative Feedback

Through email communication, the online discussion room and attendance monitoring via activity on VLE

Methods of assessment


Coursework
Assessment typeNotes% of formal assessment
Portfolio1,500 word equivalent30.00
Report2,500 word equivalent70.00
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: 21/03/2018

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