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2005/06 Undergraduate Module Catalogue

GEOG2685 Spatial Data Handling and Analysis

10 creditsClass Size: 999

Module manager: Prof John Stillwell
Email: J.Stillwell@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2005/06

This module is mutually exclusive with

GEOG2680

This module is not approved as an Elective

Objectives

On completion of this module, students should:
1. be familiar with a range of data products from the Census of Population and understand their value for research in human geography;
2. know how to use the World Wide Web and associated packages to display and/or extract census statistics and digital boundary data;
3. be able to use general purpose statistical and mapping software to analyse and display Census data;
4. be familiar with the concepts and practicalities of data description EDA, correlation analysis, spatial statistics and spatial interaction modelling.

Skills outcomes
A Knowledge and Understanding
A4 Spatial patterns and relationships in human phenomena at a variety of scales
A6 The geographies of difference and inequality
A9 The theory and application of quantitative, visualisation and other spatial techniques across a wide range of geographical contexts
B Cognitive skills
B1 Abstraction and synthesis of information from a variety of sources
B2 Assessment and critical evaluation of the merits of contrasting theories, explanations, policies
B3 Critical analysis and interpretation of data and text
B4 Developing reasoned arguments
B5 Solving problems and making reasoned decisions
C Practical/professional skills
C1 Plan, design, execute and report geographical research both individually and as part of a team
C2 Undertake effective laboratory and field work (with due regard for safety and risk assessment)
C3 Employ a variety of technical and laboratory-based methods for the analysis and presentation of spatial information
C4 Collect, interpret and synthesise different types of quantitative and qualitative geographical data
D Key skills
D1 Learn in familiar and unfamiliar situations
D2 Communicate effectively (in writing and through graphical presentations)
D3 Apply numerical and computational skills to geographical information
D4 Use information technology effectively (including use of spreadsheet, database and word processing programmes; Internet and e-mail)
D5 Identify, retrieve, sort and exchange geographical information using a wide range of sources
D6 Work as part of a team and to recognise and respect the viewpoints of others
D7 Manage time and organise work effectivelyA Knowledge and Understanding
A4 Spatial patterns and relationships in human phenomena at a variety of scales
A6 The geographies of difference and inequality
A9 The theory and application of quantitative, visualisation and other spatial techniques across a wide range of geographical contexts
B Cognitive skills
B1 Abstraction and synthesis of information from a variety of sources
B2 Assessment and critical evaluation of the merits of contrasting theories, explanations, policies
B3 Critical analysis and interpretation of data and text
B4 Developing reasoned arguments
B5 Solving problems and making reasoned decisions
C Practical/professional skills
C1 Plan, design, execute and report geographical research both individually and as part of a team
C2 Undertake effective laboratory and field work (with due regard for safety and risk assessment)
C3 Employ a variety of technical and laboratory-based methods for the analysis and presentation of spatial information
C4 Collect, interpret and synthesise different types of quantitative and qualitative geographical data
D Key skills
D1 Learn in familiar and unfamiliar situations
D2 Communicate effectively (in writing and through graphical presentations)
D3 Apply numerical and computational skills to geographical information
D4 Use information technology effectively (including use of spreadsheet, database and word processing programmes; Internet and e-mail)
D5 Identify, retrieve, sort and exchange geographical information using a wide range of sources
D6 Work as part of a team and to recognise and respect the viewpoints of others
D7 Manage time and organise work effectively

Syllabus

1. Lecture: Introduction to Geographical Information Systems and Spatial Data
2. Lecture: Introducing and extracting census data
3. Lecture: Analysing census data 1
4. Lecture: Analysing census data 2
5. Practical surgery: Data Analysis (2 hours)
6. Lecture: Mapping concepts and MAUP
7. Reading week
8. Practical: Mapping ethnicity at different spatial scales (2 hours)
9. Lecture: Interaction data and visualisation
10. Practical: Alternative visualisations of net migration (2 hours)
11. Practical surgery: Reflection and trouble-shooting (2 hours)

Teaching methods

Lectures: 6 x 1 hour (weeks 1,2,3,4,6,9);

Practicals: 4 x 2 hours (weeks 5,8,10,11).

Private study

Reading tied to individual lectures: 23 hours;
Preparation of assessed portfolio: 48 hours;
Revision and exam preparation: 15 hours.

Methods of assessment

1 x assessed portfolio including worksheets based on census/data analysis assignments (due on the Friday of week 11): 50%;
1 x 1.5 hour exam (end of semester 1): 50%.

Reading list

The reading list is available from the Library website

Last updated: 21/03/2005

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