EAE4068 - Spatial data analysis - 2019

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, hypothesis 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.

On completion of this unit students will be able to:

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

NOTE: From 1 July 2019, the duration of all exams is changing to combine reading and writing time. The new exam duration for this unit is 2 hours and 10 minutes.

Examination (2 hours): 50%

Practical work: 35%

Group project: 15%

• One 2-hour lecture and one 3-hour practical per week
• Seven hours of independent study per week

See also Unit timetable information

Master of Earth Science