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Course profile

Digital Geographies: Geospatial Data & Analysis (GEOG2001)

Study period
Sem 2 2025
Location
St Lucia
Attendance mode
In Person

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 looks at geographical theories & models of human spatial behaviour. It will examine human activities in time & space, including case studies relating to health, residential location and journey to work, crime and anti-social behaviour, travel & transport, consumer behaviour & retailing. The course will explore both empirical material of spatial behaviour in these contexts and GIS and modelling approaches to effect better planning solutions (especially in relation to facility location).

GEOG2001 explores how human behaviour interacts with space and place through the lens of geospatial technologies. The course begins by unpacking key societal challenges that demand spatial thinking — such as population mobility, housing and transport resource allocation, climate change impacts, and the spatial dynamics of human interactions. Through this lens, students develop both conceptual foundations and applied skills in digital geography, including the collection, processing, analysis, and visualisation of geospatial data. Emphasising real-world applications, the course equips students to engage critically and creatively with urban and environmental planning challenges in an increasingly data-driven world.

GEOG2001 incorporates a field trip in which students are expected to collect primary geospatial data on various types using a range of data collection methods, such as survey, count, and GPS tracing. Students will actively participate in group-based pre-trip workshops, fieldwork, and post-trip analytical sessions. The primary data, in combination with secondary data from various outlets, will be used as the core component of the course project.

Details of travel and accommodation will be provided in Week 1 during the introduction to the course. Costs for lodging and transport are to be finalised.

Students can access ArcGIS Pro from UQ's IT Services website to install the software on their own machines outside of UQ. Students are required to log in and follow the prompts to download the program. The same program is used in SENVᅠlabs.

Course requirements

Assumed background

GEOG2001 will involve some basic quantitative analysis and will draw on concepts from human geography, demography, environmental psychology and economics. For the successful completion of assignments, students will require a basis in written and graphic communication such as they can at least benefit from the help offered in class. Students with introductory course experience in statistics, psychology, sociology, architecture, geography, engineering or planning are welcome to enrol in GEOG2001.

Prerequisites

You'll need to complete the following courses before enrolling in this one:

GEOG1000 or GEOM1000

Incompatible

You can't enrol in this course if you've already completed the following:

GEOS2201

Restrictions

Minimum enrolment quota of 15 students

Course contact

Course staff

Lecturer

Fieldtrip coordinator

Fieldtrip manager

Timetable

The timetable for this course is available on the UQ Public Timetable.

Aims and outcomes

GEOG2001 aims to introduce students to the importance of analysing human spatial behaviour in a number of applied settings. The course starts by exploring general principles of spatial behaviour, including a number of core geographical concepts. Then the course examines human spatial behaviour in the fields of journey to work, public transport, migration, residential location and social opportunities. Examples will be drawn from both the developed and developing world.ᅠ ᅠ The aims of GEOG2001 are to help students to develop knowledge and skills that will assist them to apply an understanding of aspects of human spatial behaviour to enhance their prospects of employment in fields in which geographers and plannersᅠwork, including urban and regional planning, market research, and locational analysis. These aims areᅠachieved through: providing students with an understanding of the theoretical basis for investigating human spatial behaviours at the macro and micro scales;ᅠdeveloping a familiarity with the methods of information collection and data analysis for analysing human spatial behaviour at the aggregate and individual levels of scale; developing an awareness of the implications of patterns of human spatial behaviour for urban and regional planning and the design of urban environments; and applying theoretical and methodological knowledge and skills into a real-world human mobility project.

Assessment

Assessment summary

Category Assessment task Weight Due date
Paper/ Report/ Annotation Practical Workbook 20%

1/09/2025 4:00 pm

Paper/ Report/ Annotation, Notebook/ Logbook, Presentation, Project Human Spatial Behaviour Project (Fieldtrip)
  • Team or group-based
  • In-person
25%

Project 1: Workshops and Fieldwork 22/09/2025

Project 2: Group-based Presentation 20/10/2025

Due In Class & on Field Trip.

Project Human Spatial Behaviour Project (Report)
25%

31/10/2025 4:00 pm

Examination End of Semester Exam
  • Hurdle
  • Identity Verified
  • In-person
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.

Assessment details

Practical Workbook

Mode
Written
Category
Paper/ Report/ Annotation
Weight
20%
Due date

1/09/2025 4:00 pm

Task description

Complete all practical exercises set during Weeks 1 to 4 and submit as a compiled report. There is no word limit for the workbook.

The workbook will be assessed on the basis of the precision with which the student completes and responses to each of the exercises and questions posed in each practical. Higher marks will be awarded to students who relate their results and interpretations to aspects of human spatial behaviour raised in the lectures and through their broader reading as well as the overall quality of outputs (such as mapping), general presentation and documentation of references.

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.

Submission guidelines

Online submission by Turnitin only by the due date and time. 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.

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). 

Human Spatial Behaviour Project (Fieldtrip)

  • Team or group-based
  • In-person
Mode
Activity/ Performance, Oral
Category
Paper/ Report/ Annotation, Notebook/ Logbook, Presentation, Project
Weight
25%
Due date

Project 1: Workshops and Fieldwork 22/09/2025

Project 2: Group-based Presentation 20/10/2025

Due In Class & on Field Trip.

Other conditions
Student specific, Peer assessment factor.

See the conditions definitions

Task description

Students will collect, analyse and interpret primary data from the field trip to describe and study various human spatial activities. Utilising conceptual knowledge (e.g., journey-to-work), spatial skills (e.g., survey) and practical tools (e.g., GIS), students will work in small groups, designing data collection tools, conducting fieldwork, analysing geospatial data and presenting findings with insights into spatial planning and policymaking.

This assessment concluded two components:

Workshops and Fieldwork: (15% weighting)

Students will work in groups on four workshops (two pre-trip preparation workshops + two post-trip analysis workshops) as well as fieldtrip activities on Week 7. 10% marking is assigned to the active participation in all five weeks (Weeks 5 - 9) via completion of workshop activities. The other 5% marking is based on the peer evaluation of teamwork and communication (Week 9)

Group-based Presentation: (10% weighting)

A group-based presentation showcasing the analytical results and insights with effective visualising and storytelling techniques is assessed for 10% marking on Week 12. 

The use of AI and MT:

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

Details regarding the assessment submission will be provided by the Course Coordinator via a Blackboard announcement.

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.

This is a group-based assignment, and may only be eligible for extension if exceptional circumstances arise on the day of the scheduled activity. Please contact your course coordinator if exceptional circumstances arise preventing you from attending the group activities. All group members must agree to the extension prior to application.

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 (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). 

Human Spatial Behaviour Project (Report)

Mode
Written
Category
Project
Weight
25%
Due date

31/10/2025 4:00 pm

Other conditions
Student specific.

See the conditions definitions

Task description

Individual Report:

An individually written report highlighting various human spatial behaviour patterns from fieldwork is due in Week 13. Students are expected to combine primary data from the fieldtrip and secondary data, such as the National Visitors Survey data, Census data, and other open data. Higher marks will be awarded for in-depth spatial knowledge and analysis, high-quality data visualisation (charts and maps), effective communication and critical thinking on planning and policy implications based on project findings.

The use of AI and MT:

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 and time. 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.

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
30%
Due date

End of Semester Exam Period

8/11/2025 - 22/11/2025

Other conditions
Time limited.

See the conditions definitions

Task description

On campus in person invigilated exam held during the central exam period.

This assessment component is a 90-minute, open-book exam during the semester central examination period. In line with the course goals, its role will be to assess your knowledge of the content in GEOG2001 and to tap certain of your process capacities in analysing and integrating materials. The final exam consists of short-answer questions, each with multiple subsections. More details about the final exam will be available on Blackboard as the end of the semester approaches.

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 Open book examination - any written or printed material is permitted; material may be annotated
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

Library resources are available on the UQ Library website.

Additional learning resources information

Students can download ArcGIS software free of charge from UQ's IT Services website to access on their own machines outside of UQ. Students are required to login and follow the prompts to download the program. The same program is used in SENV labs.

Learning activities

The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.

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Learning period Activity type Topic
Week 1
Lecture

Geospatial Knowledge and Society

  • Course introduction
  • Establishing a fundamental understanding of geospatial knowledge's role in societal development

Practical

Basic Mapping in GIS

  • Recapping fundamental cartography knowledge
  • Refreshing basic GIS operations (geospatial data and basic mapping techniques)

Week 2
Lecture

Geographies of Social Interactions

  • Social interactions in space
  • Criminology and spatial sciences
  • Tracking and mapping social interactions

Practical

Mapping Mobility Traces

  • Tracking individual spatial activities and trajectories
  • Mapping in GIS and interpreting patterns

Week 3
Lecture

Geographies of Everyday Mobility

  • Time budget and time use
  • Time geography
  • Journey-to-work concepts

Practical

Mapping Journey-To-Work

  • Journey-to-work data sources and interpretation
  • Mapping journey-to-work flows in GIS

Week 4
Lecture

Geographies of Tourism

  • Tourist mobility styles
  • Key concepts in tourism geography
  • Geospatial tourism data

Practical

Mapping Tourism Data

  • Introduction of the Tourism Research Australia (TRA) database
  • Analysing and mapping tourism data in GIS

Week 5
Lecture

Workshop I: Fieldtrip Survey Tool Design

  • Learning survey tool design principles
  • Group-based activities of designing survey tools for the fieldtrip

Practical

Workshop I: Fieldtrip Survey Tool Design

  • Group-based activities of designing survey tools for the fieldtrip
  • Simulating survey scenarios in groups

Week 6
Workshop

Workshop II: Fieldtrip Data Collection

  • Learning various data collection techinques (manual counting, geotagging, GPS tracking)
  • Group-based discussions on data collection practices for the fieldtrip

Practical

Workshop II: Fieldtrip Data Collection

  • Practicing data collection tools and techiniques for the fieldtrip

Week 7
Fieldwork

Fieldtrip

  • Fieldtrip takes place between Friday afternoon (12PM, 12-September) and Sunday afternoon (5PM, 14-September)
  • Students will collect three sets of primary data on human spatial behaviours

Week 8
Workshop

Workshop III: Fieldtrip Data Entry and Processing

  • Primary data cleaning and processing in groups
  • Visualising data using GIS and other visualisation tools

Week 9
Workshop

Workshop IV: Fieldtrip Data Visualisation and Spatial Analysis

  • Enhancing analysis using secondary data sources for built environment, sociodemographic characteristics, etc.
  • Producing mapping and spatial analytical output in groups

Mid Sem break
Not Timetabled

Mid Semester Break

Week 10
Lecture

Geographies of Human-Nature Interactions

  • Understanding the spatial interplays of human and natural environments
  • Anthroposcene and climate change
  • The role of geospatial data and analysis

Practical

Fieldtrip Data Interpretation

  • Continuing group-based spatial mapping and analysis on primary and secondary data
  • Interpreting and discussing results and implications

Week 11
Lecture

Geographies of Artificial Intelligence

  • An introduction of GeoAI concepts and knowledge
  • Case studying various (existing and conceptual) GeoAI applications

Practical

Fieldtrip Result Presentation

  • Preparing materials for the group-based presentation on Week 12

Week 12
Workshop

Fieldtrip Group Showcase

  • Group-based presentations on fieldtrip results, highlighting significant human spatial behaviour patterns and their implications

Practical

Fieldtrip Report Finalisation

  • Finalising the individual fieldtrip report

Week 13
Lecture

Careers in Geoscience and Course Conclusion

  • Career options and perspectives in geoscience-related fields
  • Conclude the course and review materials on the 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:

Learn more about UQ policies on my.UQ and the Policy and Procedure Library.

You'll also need to be aware of the following policies and procedures while completing this course: