Course coordinator
Professor Yan Liu
Please contact me by email to arrange a time for consultation.
Course overview
- Study period
- Semester 2, 2024 (22/07/2024 - 18/11/2024)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- The Environment School
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 focus on various spatial analysis and modelling techniquesﾠand 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. Assessment is based upon 1) one project which consists of a project proposal and a report, 2) one using StoryMap to communicating GIS data and analysis to non-expert audiences; and 3)ﾠa final exam.
Course requirements
Assumed background
Students are expected to have completed a GIS course (GEOM2001 or GEOM2002) or demonstrated equivalent learning and experience.
Prerequisites
You'll need to complete the following courses before enrolling in this one:
GEOM2001 or 2002
Incompatible
You can't enrol in this course if you've already completed the following:
GEOM7002 or GEOS3300 or GEOS7301
Course contact
Lecturer
Demonstrator
Ms Ziyue Wang
Demonstrator
Lamuel Chung
Course staff
Lecturer
Timetable
The timetable for this course is available on the UQ Public Timetable.
Additional timetable information
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.
Aims and outcomes
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.
Learning outcomes
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
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Practical/ Demonstration | Assignment 1: Accessibility modelling | 25% |
26/08/2024 2:00 pm |
| Practical/ Demonstration | Assignment 2: Spatial statistical analysis | 25% |
30/09/2024 2:00 pm |
| Presentation | Assignment 3: StoryMap presentation | 20% |
21/10/2024 2:00 pm |
| Examination |
Final Exam
|
30% |
End of Semester Exam Period 2/11/2024 - 16/11/2024 |
Assessment details
Assignment 1: Accessibility modelling
- Mode
- Written
- Category
- Practical/ Demonstration
- Weight
- 25%
- Due date
26/08/2024 2:00 pm
Task description
**** All assessments in this course are individual work. This includes all data collection, analysis, mapping and writing must be your own original work ****
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.
This assessment task evaluates students' abilities, skills and knowledge without the aid of Artificial Intelligence (AI). Students are advised that the use of AI technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
ALL written assessment MUST be submitted electronically through Turnitin on the course
Blackboard page by the due date/time. You should also retain an identical electronic copy of the work submitted.
Deferral or extension
You cannot defer or apply for an extension for this assessment.
Late submission
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.
Assignment 2: Spatial statistical analysis
- Mode
- Written
- Category
- Practical/ Demonstration
- Weight
- 25%
- Due date
30/09/2024 2:00 pm
Task description
**** All assessments in this course are individual work. This includes all data collection, analysis, mapping and writing must be your own original work ****
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.
This assessment task evaluates students' abilities, skills and knowledge without the aid of Artificial Intelligence (AI). Students are advised that the use of AI technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
ALL written assessment MUST be submitted electronically through Turnitin on the course
Blackboard page by the due date/time. You should also retain an identical electronic copy of the work submitted.
Deferral or extension
You cannot defer or apply for an extension for this assessment.
Late submission
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.
Assignment 3: StoryMap presentation
- Mode
- Written
- Category
- Presentation
- Weight
- 20%
- Due date
21/10/2024 2:00 pm
Task description
**** All assessments in this course are individual work. This includes all data collection, analysis, mapping and writing must be your own original work ****
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.
This assessment task evaluates students' abilities, skills and knowledge without the aid of Artificial Intelligence (AI). Students are advised that the use of AI technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
ALL written assessment MUST be submitted electronically through Turnitin on the course
Blackboard page by the due date/time. You should also retain an identical electronic copy of the work submitted.
Deferral or extension
You cannot defer or apply for an extension for this assessment.
Late submission
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.
Final Exam
- Online
- Mode
- Written
- Category
- Examination
- Weight
- 30%
- Due date
End of Semester Exam Period
2/11/2024 - 16/11/2024
Task description
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).
Assessment Hurdle - To receive a passing grade student will need to obtain a minimum of 50% in the final exam.
Exam details
| Planning time | 10 minutes |
|---|---|
| Duration | 90 minutes |
| Calculator options | Any calculator permitted |
| Open/closed book | Open Book examination |
| Exam platform | Learn.UQ |
| Invigilation | Not invigilated |
Submission guidelines
Deferral or extension
You may be able to defer this exam.
Course grading
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% To receive a passing grade student will need to obtain a minimum of 50% in the final exam. |
| 4 (Pass) |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 50% To receive a passing grade student will need to obtain a minimum of 50% in the final exam. |
| 5 (Credit) |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 65% To receive a passing grade student will need to obtain a minimum of 50% in the final exam. |
| 6 (Distinction) |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 75% To receive a passing grade student will need to obtain a minimum of 50% in the final exam. |
| 7 (High Distinction) |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 85% To receive a passing grade student will need to obtain a minimum of 50% in the final exam. |
Additional course grading information
The final grade for the course will typically fall within the above mentioned ranges.
Assessment Hurdle - To receive a passing grade student will need to obtain a minimum of 50% in the final exam.Supplementary assessment
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 my.UQ 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.
Additional assessment information
Applications for Extensions
Information on applying for an extension can be found here - my.UQ Applying for an extension
Extension applications must be received by the assessment due date and time.
If you are unable to provide documentation to support your application by the due date and time you must still submit your application on time and attach a Word document outlining why you cannot provide the documentation and upload the documentation to the portal within 24 hours.
Please note: While your extension request is being considered, you should work towards completing and submitting your assessment as soon as possible.
If you have been ill or unable to attend class for more than 4 weeks in a semester, we advise you to carefully consider whether you are capable of successfully completing your courses. You might need to consider applying for removal of course. We strongly recommend you seek advice from the Faculty that administers your program.
Extensions with Student Access Plans (SAP)
For extensions up to 7 days, your SAP is all that is required as documentation to support your application. However, extension requests longer than 7 days (for any one assessment item) will require the submission of additional supporting documentation e.g., a medical certificate. A maximum of two applications may be submitted for any one assessment item, unless exceptional circumstances can be demonstrated. All extension requests must be received by the assessment due date and time.
Artificial Intelligence (AI)
The assessment tasks in this course evaluate students’ abilities, skills and knowledge without the aid of Artificial Intelligence (AI). Students are advised that the use of AI technologies to develop responses is strictly prohibited and may constitute misconduct under the Student Code of Conduct.
Turnitin
By submitting work through Turnitin you are deemed to have accepted the following declaration “I certify that this assignment is my own work and has not been submitted, either previously or concurrently, in whole or in part, to this University or any other educational institution, for marking or assessment.”
All students must ensure they receive their Turnitin receipt on submission of any assessments. A valid Turnitin receipt will be the only evidence accepted if assessments are missing. Without evidence, the assessment will receive the standard late penalty, or after five days, will receive zero.
In the case of a Blackboard outage, please contact the Course Coordinator as soon as possible to confirm the outage with ITS.
Learning resources
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
Library resources are available on the UQ Library website.
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
| Learning period | Activity type | Topic |
|---|---|---|
General contact hours |
Teaching free week No lecture; limited tutor support for prac; work on your Assignment 2 |
|
Week 1 (22 Jul - 28 Jul) |
Lecture |
Introduction to spatial analysis and modelling Course overview; spatial analysis as a process; modelbuilder No practical this week |
Week 2 (29 Jul - 04 Aug) |
Lecture |
Measuring spatial connectivity I Network Analysis; Prac 1 Land suitability modelling using ModelBuilder in ArcGIS Pro |
Week 3 (05 Aug - 11 Aug) |
Lecture |
Measuring spatial connectivity II Accessibility modelling; Prac 2 Spatial Network Analysis using ArcGIS Pro |
Week 4 (12 Aug - 18 Aug) |
Lecture |
Spatial Analysis of Point Data I Describing spatial distributions Prac 3 Spatial accessibility modelling |
Week 5 (19 Aug - 25 Aug) |
Lecture |
Spatial Analysis of Point Data II Analysing spatial patterns No prac this week; work on your Assignment 1 |
Week 6 (26 Aug - 01 Sep) |
Lecture |
Spatial Autocorrelation Global and local spatial autocorrelation techniques; hot spot analysis Prac 4 Measuring spatial distributions and patterns |
Week 7 (02 Sep - 08 Sep) |
Lecture |
Modelling Geographical Relationships Regression analysis; indicator mapping; Geographically Weighted Regression Prac 5 Modelling geographical relationships |
Week 8 (09 Sep - 15 Sep) |
Lecture |
Spatio-Temporal Analysis Measuring change over time Prac 6 Spatial change analysis |
Week 10 (30 Sep - 06 Oct) |
Lecture |
GIS communication Prac 7 Using StoryMaps for effective GIS communication |
Week 11 (07 Oct - 13 Oct) |
Lecture |
Big data analytics Selected methods and applications Work on your StoryMap Project during practical time |
Week 12 (14 Oct - 20 Oct) |
Lecture |
Current trends and the (near) future of GIS Guest Lecturer from an ESRI expert Work on your StoryMap Project during practical time. |
Week 13 (21 Oct - 27 Oct) |
Lecture |
Summary of course and preparation for exam Course revision Preparation for final exam |
Policies and procedures
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:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments - Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.