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, hypothesis testing and spatial predictive modelling, provides practical training in … For more content click the Read More button below.

Offerings

S2-01-CLAYTON-ON-CAMPUS

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Dr Xuan Zhu

Unit Coordinator(s)

Dr Xuan Zhu

Learning outcomes

On successful completion of this unit, you should 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.

Teaching approach

Active learning

Assessment

1 - Practicals
2 - Project

Workload requirements

Workload

Availability in areas of study

Master of Science