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Module

GEO1103 : Quantitative Geographical Analysis

  • Offered for Year: 2020/21
  • Module Leader(s): Dr Alison Copeland
  • Lecturer: Dr Wen Lin
  • Owning School: Geography, Politics & Sociology
  • Teaching Location: Newcastle City Campus
Semesters
Semester 1 Credit Value: 10
ECTS Credits: 5.0

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

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

Teaching Activities
Category Activity Number Length Student Hours Comment
Structured Guided LearningLecture materials91:009:00pre-recorded lecture material
Guided Independent StudyAssessment preparation and completion601:0060:00N/A
Scheduled Learning And Teaching ActivitiesPractical91:009:00Synchronous online content/ in-person content (sem 1) depending on staff/student circumstances
Structured Guided LearningAcademic skills activities91:009:00Testing of quantitative/qualitative methods (sem 1)
Structured Guided LearningStructured research and reading activities91:009:00Reflections and learning from practicals (sem 1)
Scheduled Learning And Teaching ActivitiesScheduled on-line contact time41:004:00Synchronous online fortnightly multiple choice tests (sem 1)
Total100:00
Jointly Taught With
Code Title
GEO1018Geographical 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

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Computer assessment1M100fortnightly online multiple choice test (5-10 questions each time) on understanding of statistical methods and statistics
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