Course coordinator
Please contact me by email to arrange a time for consultation.
This course develops skills and a deeper understanding to conduct detailed analysis in geographical information systems (GIS) using basic statistical methods and spatial analysis. Students learn to analyse spatial patterns and relate these to processes in the natural environment and human spatial behaviour. Students also gain knowledge and skills to develop geoprocessing models and for making decisions related to planning and management.
This course is designed to build on and extend the knowledge and skills that students acquired in a GIS introductory course or through their experience using GIS elsewhere. It focuses on various spatial analysis and modelling techniques and geo-visualisation for applications relating to the natural and built environments and human activities.
Lectures present concepts and give examples for analysing spatial data to address common problems concerning the physical and human geographical processes, patterns and relationships. Students work on example problems in practicals using GIS.
Students are expected to have completed a GIS course (GEOM2001 or GEOM2002) or demonstrated equivalent learning and experience.
You'll need to complete the following courses before enrolling in this one:
GEOM2001 or 2002
You can't enrol in this course if you've already completed the following:
GEOM7002 or GEOS3300 or GEOS7301
Please contact me by email to arrange a time for consultation.
The timetable for this course is available on the UQ Public Timetable.
The course uses Blackboard. You may find up-to-date schedules and due dates in the Blackboard menus for Lectures and Assessment, and from announcements.
This course aims to equip students with: 1)ᅠᅠᅠᅠᅠ advanced knowledge and skills in spatial analysis and modelling using GIS; and 2)ᅠᅠᅠᅠᅠ applied spatial skills to use GIS to address geographical, environmental and planning problems in the real world.
After successfully completing this course you should be able to:
LO1.
Understand conceptual models involving spatial data analysis
LO2.
Design geoprocessing models to solve application problems
LO3.
Apply statistical techniques to explore spatial data patterns and relationships
LO4.
Perform spatial analysis and modelling to data along networks
LO5.
Choose and apply appropriate spatial analysis methods to solve geographical problems
LO6.
Understand and appreciate the emerging sources of big data and geocomputation techniques
LO7.
Interpret and effectively communicate spatial data and analytical output to non-expert audiences
Category | Assessment task | Weight | Due date |
---|---|---|---|
Tutorial/ Problem Set | Assignment 1: Accessibility modelling | 25% |
10/09/2025 2:00 pm |
Tutorial/ Problem Set | Assignment 2: Spatial statistical analysis | 25% |
8/10/2025 2:00 pm |
Presentation, Project | Assignment 3: StoryMap presentation | 20% |
29/10/2025 2:00 pm |
Examination |
End of Semester Exam
|
30% |
End of Semester Exam Period 8/11/2025 - 22/11/2025 |
A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.
10/09/2025 2:00 pm
This assignment 1 is based on lectures and practicals you learnt in the first FOUR weeks. The questions will be provided at the end of Practicals 1-3. You need to submit this assignment through Turnitin by the due date.
Online submission by Turnitin only by the due date and time. No hard copy or assignment cover sheets are required. Submission via email is not accepted. You should also retain an identical electronic copy of the work submitted.
You may be able to apply for an extension.
See the Additional assessment information section below for information relating to extension applications.
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (the assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date.
For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
8/10/2025 2:00 pm
This assignment 2 is based mainly on the lectures and practicals you learnt in Weeks 5-8. The questions will be provided at the end of Practicals 4-6. You need to submit this assignment through Turnitin by the due date.
Online submission by Turnitin only by the due date and time. No hard copy or assignment cover sheets are required. Submission via email is not accepted. You should also retain an identical electronic copy of the work submitted.
You may be able to apply for an extension.
See the Additional assessment information section below for information relating to extension applications.
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (the assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date.
For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
29/10/2025 2:00 pm
For this assignment you will develop an online StoryMap following best practice for GIS communication. Details on this assignment requirement will be provided via BB during the course.
Online submission by Turnitin only by the due date and time. No hard copy or assignment cover sheets are required. Submission via email is not accepted. You should also retain an identical electronic copy of the work submitted.
You may be able to apply for an extension.
See the Additional assessment information section below for information relating to extension applications.
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (the assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date.
For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
End of Semester Exam Period
8/11/2025 - 22/11/2025
This End of Semester exam consists of multiple choice questions, as well as short answer and problem-solving questions related to spatial data models and analysis. The questions are based on lecture and reading contents and its applications throughout the semester. This assessment task evaluates students' abilities, skills and knowledge without the aid of Artificial Intelligence (AI).
Planning time | 10 minutes |
---|---|
Duration | 90 minutes |
Calculator options | (In person) Casio FX82 series only or UQ approved and labelled calculator |
Open/closed book | Closed book examination - specified written materials permitted |
Materials | One A4 sheet of handwritten or typed notes, double sided, is permitted One unmarked bilingual dictionary is permitted |
Exam platform | Paper based |
Invigilation | Invigilated in person |
You may be able to defer this exam.
Full criteria for each grade is available in the Assessment Procedure.
Grade | Description |
---|---|
1 (Low Fail) |
Absence of evidence of achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 0% |
2 (Fail) |
Minimal evidence of achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 30% |
3 (Marginal Fail) |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: The minimum percentage required for this grade is: 45% |
4 (Pass) |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 50% |
5 (Credit) |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 65% |
6 (Distinction) |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 75% |
7 (High Distinction) |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 85% |
Assessment Hurdle
In order to pass this course, you must meet the following requirements (if you do not meet these requirements, the maximum grade you will receive will be a 3):
You must obtain 45% or more in the End of Semester Exam.
Supplementary assessment is available for this course.
Should you fail a course with a grade of 3, you may be eligible for supplementary assessment. Refer to the UQ website for information on supplementary assessment and how to apply.
Supplementary assessment provides an additional opportunity to demonstrate you have achieved all the required learning outcomes for a course.
If you apply and are granted supplementary assessment, the type of supplementary assessment set will consider which learning outcome(s) have not been met.
Supplementary assessment can take any form (such as a written report, oral presentation, examination or other appropriate assessment) and may test specific learning outcomes tailored to the individual student, or all learning outcomes.
To receive a passing grade of 3S4, you must obtain a mark of 50% or more on the supplementary assessment.
*** All assessments in this course are individual work. This includes all data collection, analysis, mapping and writing must be your own original work ***
Applications for Extensions to Assessment Due Dates
Use of Artificial Intelligence (AI) and Machine Translation (MT)
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources are available on the UQ Library website.
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Learning period | Activity type | Topic |
---|---|---|
Week 1 (28 Jul - 03 Aug) |
Lecture |
Introduction to spatial analysis and modelling: Spatial analysis as a process and course overview No practical this week |
Week 2 (04 Aug - 10 Aug) |
Lecture |
Measuring Spatial Connectivity I: Network Analysis Prac 1 Land suitability modelling using ModelBuilder in ArcGIS Pro |
Week 3 (11 Aug - 17 Aug) |
General contact hours |
Teaching free week No lecture (Public holiday on Wednesday 13/08) No practical this week |
Week 4 (18 Aug - 24 Aug) |
Lecture |
Measuring Spatial Connectivity II: Accessibility modelling Prac 2 Spatial Network Analysis using ArcGIS Pro |
Week 5 (25 Aug - 31 Aug) |
Lecture |
Spatial Analysis of Point Data I: Describing spatial distributions Prac 3 Spatial accessibility modelling using ArcGIS pro |
Week 6 (01 Sep - 07 Sep) |
Lecture |
Spatial Analysis of Point Data II: Analysing spatial patterns No practical this week; work on your Assignment 1 |
Week 7 (08 Sep - 14 Sep) |
Lecture |
Spatial Autocorrelation: Global and local spatial autocorrelation techniques Prac 4 Measuring spatial distributions and patterns |
Week 8 (15 Sep - 21 Sep) |
Lecture |
Modelling Geographical Relationships: Regression analysis; indicator mapping; Geographically Weighted Regression Prac 5 Modelling geographical relationships |
Week 9 (22 Sep - 28 Sep) |
Lecture |
Spatio-Temporal Analysis: Measuring change over time Prac 6 Spatial change analysis |
Week 10 (06 Oct - 12 Oct) |
Lecture |
GIS communication Prac 7 Using StoryMaps for effective GIS communication |
Week 11 (13 Oct - 19 Oct) |
Lecture |
Geo-computation and Big data analytics: Selected methods and applications Work on your StoryMap Project |
Week 12 (20 Oct - 26 Oct) |
Lecture |
GIS beyond University: current trend in industry and the future (Guest Lecture from an ESRI expert) Work on your StoryMap Project |
Week 13 (27 Oct - 02 Nov) |
Lecture |
Summary of course and preparation for exam Course revision |
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.