02.528 Spatial Analysis of Urban Data

This course focuses on the use of GIS (Geographic Information Systems) in the urban context, applying GIS tools and techniques for analysing, modelling, and visualising geospatial data in urban environments. The most fundamental concepts and techniques in GIS and spatial data analysis are covered in this course, including data collection, data management, and data visualisation. Additionally, specific applications of GIS in the urban studies will be taught, namely 3D mapping, basic network analysis, and advanced spatial analysis.

Through a hands-on final project, students will learn how to apply more advanced forms of spatial analysis on real-world problems such as understanding the relationship of geographic distribution of population and health system clusters planning. In class discussions will be linked to the final project relating the use of geospatial to:

1. Understanding population health through factors of the built environment
2. Dissecting the relationship between walkability and population health – identifying key factors and datasets that can be used to support this exploration
3. Querying and assessing the quality and value add of different datasets and sources (OSM, data.gov.sg etc) for POIs and infrastructure (clinics, road crossings, markets, senior centres etc).

The course is delivered as a combination of lectures and hands-on tutorials. Students will get to apply methods covered in the lectures during the tutorials and solve a geospatial problem through a final project.

Instructors: Dr Jingya Yan and Mr Bayi Li
Time: Wednesday (10AM-1PM)
Venue: Think Tank 6 (1.408)

Week 1: Introduction to GIS I
Week 2: Introduction to GIS II
Week 3: Cartographic Design I
Week 4: Cartographic Design II
Week 5: Advanced Spatial Data I: Spatial data management
Week 6: Advanced Spatial Data II: Spatial Data Processing
Week 7: Recess week
Week 8: Spatial statistics and analysis of vector data
Week 9: Spatial analysis of raster data
Week 10: Advanced Spatial Data III: Spatial Network Analysis
Week 11: Advanced Spatial Data IV: 3D Geospatial data in Urban studies
Week 12: Advanced Spatial Data V: Urban Studies and Applied GIS
Week 13: Final Project Tutorial
Week 14: Final Presentation