EAE5068 · Spatial data analysis

Overview

This unit aims to teach the knowledge and skills for exploring the spatial patterns that result from social and physical processes on or near the Earth's surface. It examines the theories and methods of quantitative geography, including spatial data exploration, hypothetic testing and spatial predictive modelling, provides practical training in fundamental tools of spatial analysis in GIS, and develops skills in finding, understanding and applying appropriate spatial analysis tools, and correctly interpreting and presenting the results.

Areas of study: Master of Science

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. To understand the concepts and nature of spatial data analysis.
2. To understand the geographical concepts of distance, adjacency and interaction and how fundamental they are in performing spatial data analysis.
3. To understand and apply different approaches to spatial data exploration.
4. To understand spatial statistics, assumptions and how they are used to explain spatial patterns and processes.
5. To demonstrate competency in the use of spatial data analysis tools.
6. To be able to interpret and communicate effectively the results of spatial data analysis.
7. To demonstrate the ability to plan, design and implement a spatial data analysis project.

Workload

12 hours per week consisting of: • One 1-hour workshop; • One 2-hour practical and • Nine hours of independent study per week

Student experience, not official rules. Nothing here changes what the Handbook says.