Term 1 - Online
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Representing Spatial Information is the study of conveying insight gained through geospatial data and information. Upon completion, students will be able to communicate complex relations and insights through visual storytelling and concise graphics.
This subject will introduce students to fundamental concepts in spatial information and provide a practical understanding of the rise of the Smart City and how spatial information can assist in evidenced-based and collaborative decision-making.
Students will also be exposed to a range of digital environments, including open data repositories, urban modelling and visualisation tools and open source geospatial information technologies.
Intended learning outcomes
On completion of this subject, students should be able to
- Identify suitable data visualisations and representations of multidimensional data
- Plan and manage the acquisition and storage of geospatial information
- Identify and source geospatial information
- Analyse the quality and relevance of geospatial information to a research question
- Develop a research design that spans from appropriate data collection and analysis methods to representation and communication of results
- Choose appropriate representation methods
- Conduct thematic mapping of aggregated and disaggregated datasets
- Prepare reports and presentations that use complex data to interpret socio-economic and/or physical changes
- Be competent in extracting and evaluating research evidence from spatial information as a basis for practice implementation
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: 8 November 2019