GEO1103 : Quantitative Geographical Analysis (Inactive)
- Inactive for Year: 2025/26
- Module Leader(s): Dr Alison Copeland
- Lecturer: Dr Wen Lin
- Owning School: Geography, Politics & Sociology
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Aims
Geography is characterised by a breadth of subject matter that examines the relationships between aspects of spaces, environments and landscapes. Physical geography is the study of the Earth’s surface and near-surface environment and focuses on explaining the processes and spatial patterns in the Earth’s hydrosphere, biosphere, atmosphere and lithosphere.
This module offers an introduction to some of the methods and philosophies that are used in geographical research. The module is wide-ranging and will cover a diverse set of methods appropriate for the collection, analysis and presentation of physical geographical data. Module aims:
• To consider the nature of geographical data and the methods for their collection, analysis, presentation and mapping
• To describe quantitative methods and approaches to geographical analysis using real-world examples and project work
• To introduce a range of descriptive and inferential statistical methods for analyzing quantitative geographical data
• To introduce methods for visualizing and mapping quantitative and qualitative geographic data using graphical and GIS (Geographical Information System) software
Outline Of Syllabus
• What is geography and what are geographical data?
• Quantitative data in physical geography from secondary sources
• Summarising and visualizing quantitative data: trends, relationships and differences
• Mapping geographical data
• The role of statistics in geographical research: finding patterns, quantifying uncertainty and testing hypotheses
• Geographical Information Systems (GIS): mapping and analysis of spatially referenced data
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 11 | 1:00 | 11:00 | in person lectures |
| Guided Independent Study | Assessment preparation and completion | 1 | 22:00 | 22:00 | N/A |
| Scheduled Learning And Teaching Activities | Practical | 11 | 1:00 | 11:00 | in-person content (sem 1) |
| Scheduled Learning And Teaching Activities | Drop-in/surgery | 4 | 1:00 | 4:00 | Drop-in/ Surgery semester 1 (in-person) |
| Guided Independent Study | Independent study | 1 | 48:00 | 48:00 | N/A |
| Scheduled Learning And Teaching Activities | Scheduled on-line contact time | 4 | 1:00 | 4:00 | Synchronous online fortnightly multiple choice tests (sem 1) |
| Total | 100:00 |
Jointly Taught With
| Code | Title |
|---|---|
| GEO1018 | Geographical Analysis |
Teaching Rationale And Relationship
Lectures and practical classes complement each other in providing both a theoretical background and practical training in the collection and analysis of geographical data.
Assessment Methods
The format of resits will be determined by the Board of Examiners
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Computer assessment | 1 | M | 100 | fortnightly online multiple choice test (10 questions each time) on understanding of statistical methods and GIS |
Assessment Rationale And Relationship
Online multiple choice tests will ensure the students have grasped the concepts and are able to interpret statistics
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- GEO1103's Timetable