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Spatial Analytics (ABPL90408)
Graduate courseworkPoints: 12.5Online
From 2023 most subjects will be taught on campus only with flexible options limited to a select number of postgraduate programs and individual subjects.
To learn more, visit COVID-19 course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Term 2
Email: continuing-education@unimelb.edu.au
Phone: + 61 3 8344 0149
Contact hours: https://unimelb.edu.au/professional-development/contact-us
Overview
| Availability | Term 2 - Online |
|---|---|
| Fees | Look up fees |
Spatial Analytics is the study of geospatial digital data, information, knowledge and models to understand trends, complexities and inform decision process. The subject explores approaches at the intersection of spatial information, statistics and spatial analytics to further students’ understanding of the built environment.
The new science of cities is driven by the deluge of data that enables the mapping of new geographies that can be explored, analysed and synthesized. Studies of urban settlements require a deeper knowledge of digital data and how to access, interrogate and synthesis such data.
A range of research methods will be taught in combination with case studies to provide fundamental skills in Python, spatial analysis and sharpen critical spatial and analytical thinking. At the end you will have a set of Jupyter Notebooks in Python that can be deployed in future cases such as health, urban planning and real estate for evidence-based decision making.
Intended learning outcomes
On completion of this subject, students should be able to:
- Understand the rationale for using spatial information
- Understand and deploy common approaches to interrogate spatial information
- Infer Spatial relation in and between datasets
- Understand scale and spatial relation
- Identify Spatial autocorrelation
- Model building for evaluation and prediction
- Understanding the limits of models and data
- Synthesize fine scale data to support decision making on multiple scales
- Conduct spatial-statistical analysis of data
Generic skills
Students will be provided with the opportunity to practice and reinforce:
- High level written communication skills
- Advanced information and interpretation skills
- Advanced analytic, integration and problem-solving skills
- Demonstrate competence in critical and theoretical thinking through report writing and online discussions
Last updated: 25 January 2023
Eligibility and requirements
Prerequisites
All of
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| ABPL90407 | Representing Spatial Information | Term 1 (Online) |
12.5 |
| MAST90130 | Critical Thinking with Analytics |
Term 1 (Online)
Term 3 (Online)
|
12.5 |
OR
Admission into one of the following:
- MC-URBDES Master of Urban Design
- MC-URPL Master of Urban Planning
- MC-ARCH Master of Architecture
- MC-PROP Master of Property
- MC-UPUD Master of Urban Planning/Master of Urban Design
- MC-ARCHUP Master of Architecture/Master of Urban Planning
- MC-ARCHUD Master of Architecture/Master of Urban Design
- MC-PROPUP Master of Property/Master of Urban Planning
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 25 January 2023
Assessment
| Description | Timing | Percentage |
|---|---|---|
Assessment for critical reflection (1/2)
| Week 2 | 15% |
Assessment for critical reflection (2/2)
| Week 4 | 15% |
Case study proposal and design
| Week 5 | 20% |
Student Project
| Week 9 | 50% |
Last updated: 25 January 2023
Dates & times
- Term 2 - Online
Principal coordinator Jennifer Day Mode of delivery Online Contact hours 4 hours per week, including online lectures, resources and interactions Total time commitment 170 hours Pre teaching start date 25 April 2022 Pre teaching requirements During the pre-teaching period students are given the opportunity to get used to the online platform, meet the instructors/tutors and become familiar with how to access resources before the teaching period starts. Teaching period 2 May 2022 to 26 June 2022 Last self-enrol date 26 April 2022 Census date 20 May 2022 Last date to withdraw without fail 10 June 2022 Assessment period ends 3 July 2022 Term 2 contact information
Email: continuing-education@unimelb.edu.au
Phone: + 61 3 8344 0149
Contact hours: https://unimelb.edu.au/professional-development/contact-us
Last updated: 25 January 2023
Further information
- Texts
Prescribed texts
Students will have access to electronic copies of relevant readings
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 25 January 2023