EAE4068 Spatial data analysis
Faculty of Science
EAE4068 Spatial data analysis is a level 4, 6-credit-point, postgraduate unit from the Faculty of Science, offered in 2026 in Semester 1 at Clayton. It has no prerequisites.
- Credit points
- 6
- Offered in 2026
- Semester 1
- Clayton
- Assessment
- No exam
- 2 tasks
- Workload
- 12 hours
- per semester
The 2027 handbook has no page for EAE4068. This is its 2026 entry, the latest one.
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Requisites
Before EAE4068
No prerequisites or corequisites besides the enrolment rules below.
After EAE4068
No unit lists EAE4068 as a prerequisite in the 2026 handbook.
Equivalent units
The same content under another code. Only one of them counts.
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 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.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
Assessment
- PracticalsDemonstration50%
- Project50%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish 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.
Workload and teaching
- Practical activities24 hours
- Workshops12 hours
- Teaching approachActive learning
A total of 12 hours per week consisting of:
- One 1-hour workshop;
- One 2-hour practical and
- Nine hours of independent study per week
Contacts
- Chief Examiners
- Dr Xuan Zhu
- Unit Coordinators
- Dr Xuan Zhu
Common questions
What are the prerequisites for EAE4068?
EAE4068 has no prerequisites, but enrolment rules apply.
When is EAE4068 offered?
In 2026, EAE4068 runs in Semester 1 at Clayton.
How much work is EAE4068?
The handbook expects about 12 hours of study across the semester. No students have rated its difficulty yet.
Does EAE4068 have an exam?
No. EAE4068 has 2 assessment tasks and no exam.