Course overview
- Study period
- Semester 2, 2025 (28/07/2025 - 22/11/2025)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- The Environment School
This course develops fundamental quantitative, statistical and spatial thinking skills for geographers, geologists, planners, and environmental scientists and managers to underpin understanding and management of our natural and built environments and human activities. It draws from practical examples to enable students to appreciate the nature of spatial data collected from primary and secondary sources and to make informed decisions through scientific analysis of data and information. Emphases are on when and why the various data analysis techniques should be applied, how analytical procedures are conducted and the interpretation of results. Computers and data analysis software will be used.
This course aims at developing fundamental data, spatial thinking, and spatial technology skills for geographers, geologists, planners, and environmental scientists and managers to underpin understanding and management of our natural and built environments and human activities. It draws from practical examples to enable students to appreciate the nature of, work with and communicate about spatial data collected from primary and secondary sources.
Course requirements
Assumed background
There are no prerequisites for this course. Students are assumed to have a satisfactory level of achievement in secondary English (or equivalent) and reasonable general knowledge.
Incompatible
You can't enrol in this course if you've already completed the following:
ENVM1504 or GEOM1960
Course contact
Course staff
Lecturer
Guest lecturer
Timetable
The timetable for this course is available on the UQ Public Timetable.
Additional timetable information
Students are required to attend two one-hour lectures each week and one two-hour practical session most weeks. Please refer to your mySI-net timetable for up to date 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.
Weekly Peer Assisted Study Sessions (PASS) are available on a voluntary basis, and are recommended. These sessions will help you to learn, understand and answer questions about topics, practicals and quizzes. Please refer to the timetable in mySI-net for further details.
Aims and outcomes
This course aims to equip students with:
1)ᅠᅠᅠᅠᅠ a basic understanding of the nature of spatial information acquired from primary and secondary sources;
2)ᅠᅠᅠᅠᅠ fundamental spatial thinking skills to analyse data and information for the benefits of society; and,
3)ᅠᅠᅠᅠᅠ skills to effectively communicate spatial information and analyze results
Assessment
Assessment summary
Category | Assessment task | Weight | Due date |
---|---|---|---|
Quiz |
Online Quiz 1 (Lectures and reading weeks 1-6)
|
10% |
15/09/2025 2:00 pm |
Quiz |
Online Quiz 2 (lectures and readings weeks 7-11)
|
10% |
27/10/2025 2:00 pm |
Practical/ Demonstration |
Assignments 1 and 2
|
40% |
Assignment 1 (18%) 19/09/2025 2:00 pm Assignment 2 (22%) 24/10/2025 2:00 pm |
Examination |
End of Semester Exam
|
40% |
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.
Assessment details
Online Quiz 1 (Lectures and reading weeks 1-6)
- Online
- Mode
- Written
- Category
- Quiz
- Weight
- 10%
- Due date
15/09/2025 2:00 pm
- Other conditions
- Time limited.
Task description
Online multiple choice questions based on material from the lectures and readings from weeks 1-6. Online Quiz 1 will be available on Blackboard within the assessment folder. It is each student's responsibility to have reliable internet/Blackboard access while completing the online quiz. You have 1 hour to do the quiz, so prepare beforehand, but you have three attempts to take the quiz. The highest mark you achieve will be the final mark you receive. However, keep in mind that questions are chosen from a larger pool and are randomised, so you may see new questions each time you do the quiz. Note that once you start a quiz, you will need to complete it within 1 hour before you submit your responses.
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.
Submission guidelines
Online Quiz 1 will be available on Blackboard within the assessment folder from 8/09/2025 - 15/09/2025.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
See the Additional assessment information section below for information relating to extension applications.
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.
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 (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).
Online Quiz 2 (lectures and readings weeks 7-11)
- Online
- Mode
- Written
- Category
- Quiz
- Weight
- 10%
- Due date
27/10/2025 2:00 pm
- Other conditions
- Time limited.
Task description
Online multiple choice questions based on material from the lectures and readings from weeks 7-11. Online Quiz 2 will be available on Blackboard within the assessment folder. It is each student's responsibility to have reliable internet/Blackboard access while completing the online quiz. You have 1 hour to do the quiz, so prepare beforehand, but you have three attempts to take the quiz. The highest mark you achieve will be the final mark you receive. However, keep in mind that questions are chosen from a larger pool and are randomised, so you may see new questions each time you do the quiz. Note that once you start a quiz, you will need to complete it within 1 hour before you submit your responses.
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.
Submission guidelines
Online Quiz 2 will be available on Blackboard within the assessment folder from 20/10/2025 - 27/10/2025.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
See the Additional assessment information section below for information relating to extension applications.
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.
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 (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).
Assignments 1 and 2
- Mode
- Written
- Category
- Practical/ Demonstration
- Weight
- 40%
- Due date
Assignment 1 (18%) 19/09/2025 2:00 pm
Assignment 2 (22%) 24/10/2025 2:00 pm
- Other conditions
- Student specific.
Task description
This first assignment consists of selected questions from Practicals 1-4 (18%). The second assignment consists of selected questions from Practicals 5-8 (22%). The submitted assignment must be each individual’s own work. Group work will not be accepted and runs the risk of plagiarism.
This task has been designed to be challenging, authentic and complex. Whilst students may use AI and/or MT technologies, successful completion of assessment in this course will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Online submission by Turnitin only by the due date. No hard copy or assignment cover sheets required.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
See the Additional assessment information section below for information relating to extension applications.
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.
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 (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
- Hurdle
- Identity Verified
- In-person
- Mode
- Written
- Category
- Examination
- Weight
- 40%
- Due date
End of Semester Exam Period
8/11/2025 - 22/11/2025
- Other conditions
- Time limited.
Task description
The exam is an in person exam set during the central examination period.
The final exam paper will be based on lectures and supplementary learning materials provided for the course, online quizzes and practical exercises.
This assessment task is to be completed in-person. The use of generative Artificial Intelligence (AI) or Machine Translation (MT) tools will not be permitted. Any attempted use of AI or MT may constitute student misconduct under the Student Code of Conduct.
Hurdle requirements
See ADDITIONAL COURSE GRADING INFORMATION for the hurdle relating to this assessment item.Exam details
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 notes, double sided, is permitted Unmarked Bilingual dictionary is permitted |
Exam platform | Paper based |
Invigilation | Invigilated in person |
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% |
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% |
Additional course grading information
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 on the End of Semester 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 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.
Additional assessment information
Applications for Extensions to Assessment Due Dates
Read the information contained in the following links carefully before submitting an application for extension to assessment due date.
For guidance on applying for an extension, information is available here: https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/applying-assessment-extension
For the policy relating to extensions, information is available here (Part D): https://policies.uq.edu.au/document/view-current.php?id=184
Please note the University's requirements for medical certificates here: https://my.uq.edu.au/information-and-services/manage-my-program/uq-policies-and-rules/requirements-medical-certificates
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
Find the required and recommended resources for this course on the UQ Library website.
Additional learning resources information
Blackboard
Additional supplementary material may be posted on the Blackboard site for the course at learn.uq.edu
Please check the Announcements section of the Blackboard site regularly for information updates.
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 |
---|---|---|
Week 1 (28 Jul - 03 Aug) |
Lecture |
Week 1 Lectures Lectures: Course Introduction I & II - Introduction to Geospatial Technologies, No Practical this week Reading: Shellito 2023 (Chapter 1 Its a Geospatial World Out There) |
Week 2 (04 Aug - 10 Aug) |
Lecture |
Week 2 Lectures Lectures: Finding Your Location with the GPS I, Finding Your Location with the GPS II Reading: Shellito 2023 (Chapter 4 Finding Your Location with GPS) |
Practical |
Week 2 Practical Prac 1: GNSS Online Planning |
|
Week 3 (11 Aug - 17 Aug) |
Lecture |
Week 3 Lectures Lectures: Introduction to Remote Sensing and Earth Observation, Fundamentals of Geographic Data, Field Data Collection Reading: Shellito 2023 (Chapter 9 Remotely Sensed Images from Above, Chapter 10 How Remote Sensing Works) |
Practical |
Week 3 Practical Prac 2: Where are the trees? |
|
Week 4 (18 Aug - 24 Aug) |
Lecture |
Week 4 Lectures Lecture: Fundamentals of Geographic Data, Coordinate Systems and Datums Reading: Shellito 2023 (Chapter 5 Working with Digital Geospatial Data and GIS, Chapter 2 Where in the Geospatial World Are You?); A Gentle Introduction to GIS (Coordinate Reference Systems 8.1 - 8.5) No Practical this week |
Week 5 (25 Aug - 31 Aug) |
Lecture |
Week 5 Lectures Lectures: Map Projections; Google Earth Pro Reading: Shellito 2023 (Chapter 2 Where in the Geospatial World Are You?); A Gentle Introduction to GIS (Coordinate Reference Systems 8.1 - 8.5) |
Practical |
Week 5 Practical Prac 3: Google Earth Pro |
|
Week 6 (01 Sep - 07 Sep) |
Lecture |
Week 6 Lectures Lectures: Universal Transverse Mercator , Introduction to Geographic Information Systems Reading: Shellito 2023 (Chapter 2 (part) What is UTM?; Chapter 5 Working with Digital Geospatial Data and GIS); A Gentle Introduction to GIS (2. Introducing GIS, 8.6 Universal Transverse Mercator (UTM) CRS in detail) |
Practical |
Week 6 Practical Prac 4: Coordinates and Position Measurements |
|
Week 7 (08 Sep - 14 Sep) |
Lecture |
Week 7 Lectures Lectures: Spatial Data Structures, Getting to know QGIS Reading: Shellito 2023 (Chapter 5 Working with Digital Geospatial Data and GIS); A Gentle Introduction to GIS ( 3. Vector Data, 6. Raster Data) |
Practical |
Week 7 Practical Prac 5: Getting to know QGIS |
|
Week 8 (15 Sep - 21 Sep) |
Lecture |
Week 8 Lectures Lectures: Making a Map I and II Reading: Shellito 2023 (Chapter 7 Using GIS to Make a Map); A Gentle Introduction to GIS (9. Map Production) |
Practical |
Week 8 Practical Prac 6: Making the UQ Campus map |
|
Week 9 (22 Sep - 28 Sep) |
Lecture |
Week 9 Lecture Lectures: Remote Sensing - Geographic and Biophysical Foundations; Image Processing Reading: Shellito 2023 (Chapter 11 Images from Space; Chapter 12 Studying Earth's Climate and Environment from Space) |
Practical |
Week 9 Practical Prac 7: Introduction to Remote Sensing for Geospatial Data Collection and Analysis |
|
Week 10 (06 Oct - 12 Oct) |
Lecture |
Week 10 Lectures Lectures: Monday holiday no lecture; Tuesday ArcGIS online, web maps and story maps Reading: Shellito 2023 (Chapter 15 Life in the Geospatial Cloud) |
Practical |
Week 10 Practical Prac 8: Creating web maps with ArcGIS online; Story Map |
|
Week 11 (13 Oct - 19 Oct) |
Lecture |
Week 11 Lectures Lectures: Finding Data; Data quality and Metadata Reading: Shellito 2023 Shellito 2023 (Chapter 5 What Other Kind of Information Do You Need to Use GIS Data?); A Gentle Introduction to GIS (5.2 How does GIS digital data get stored?) No Practical this week |
Week 12 (20 Oct - 26 Oct) |
Lecture |
Week 12 Lectures Lectures: Spatial Thinking, Introduction to Spatial Analysis Reading: Shellito 2023 (Chapter 6 Using GIS for Spatial Analysis) No Practical this week |
Week 13 (27 Oct - 02 Nov) |
Lecture |
Week 13 Lecture Lecture: Course Review Reading: No new reading this week No Practical this week |
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 for Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.