| Type: | Postgraduate Subject |
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| Code: | SDUP71-200 |
| Faculty: | Faculty of Society and Design |
| Credit: | 10 |
Description
Urban spatial analytics is the application of quantitative, computational, design and visual methods to analyse and model the spatial and morphological structure of cities and regions. The products of urban spatial analytics are used to inform professional work in urban planning and design, architecture, property development and investment, portfolio management and decision-making in both the public and private sectors. Students will learn how to mine Big Data from a range of sources using GIS (Geographic Information Systems), mobile applications, web mapping and 3D technologies to analyse, visualise, and communicate patterns of complex urban spatial information.
Subject details
Learning outcomes
- Analyse the principles and concepts of spatial analysis and apply them to solve real-world problems using modern geographic information system programs and applications.
- Explore the breadth and depth of geographic information systems (GIS) used in built and natural environments.
- Demonstrate how to collect and enter data for spatial analysis.
- Complete a project using a variety of GIS tools.
Enrolment requirements
| Requisites: |
Nil |
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| Assumed knowledge: |
Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.
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| Restrictions: |
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