SMT.201

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Geographic Information Systems for Urban Planning

Course (UG/PG)

Undergraduate

Offering Unit/Department

Course Description

Effective planning and management of smart cities require urban planners to integrate and share data from multiple sources to the urban users so that they can be active participants in the smart city planning process. GIS with its capability to capture, manage, display, and analyse information spatially is emerging as one of the important enabling tool in smart city planning.

This course provides students with an introduction to practical applications of GIS in smart city management and planning. Emphasis will be placed on

- locating, acquiring and integrating multi-sources of data into GIS,
- understanding the principles and methodologies of geocoding and geo referencing,
- become familiar with geovisualisation and GIS analysis techniques, and
- exploring the technologies and possibilities of GIS-enabled Planning Support Systems for smart city management.

Course Learning Outcomes

1. Explain the concepts, principles and component of GIS with reference to urban planning and management.

2. Describing the differences between GIS and other related geospatial technologies for urban planning.

3. Importing, converting, transforming, integrating and managing urban geographical data.

4. Geocoding and georeferencing geographical data.

5. Describing the basic principles and concepts of geographical data visualisation and thematic mapping design.

6. Explaining vector-based geoprocessing methods using appropriate use cases.

7. Use appropriate geoprocessing and vector-based GIS analysis functions to solve real world urban analysis problems.

8. Explaining raster-based GIS analysis functions using appropriate use cases.

9. Use appropriate cartographic modelling functions to solve real world urban analysis problems.

10. Explaining the concepts of a Planning Support System.

11. Designing GIS enabled Planning Support System to answer urban planning and management related questions.

Discipline-Specific Competencies

Data Analytics, Computational Modelling, Data Engineering, Data Visualisation, Research