This course consists of three parts:
1. In the first part of the course, students will learn foundations and principles of GIS, including data models and basic spatial analysis, as well as gaining sufficient familiarity with GIS software to be able to apply it to a variety of applied contexts. This part consist of lecture and lab sessions.
2. The second part of the course consists of integrated lecture-and-lab sessions, each of which focuses on a different application of GIS in the context of transport planning and analysis.
3. The final part of the course is an examination, which will assess students' understanding of the material.
After the course, students will be able to:
* Recognize "spatial questions" in the context of transport planning and analysis
* Describe data needs for developing a geospatial database for transport analysis
* Distinguish between vector-based and raster-based geographic analysis methods and the occasions where they are appropriately used
* Choose appropriately a geographic data model for use in a typical transport problem context
* Identify potential sources of spatial data quality problems and characterize how they may affect the quality and character of analysis results
* Recognize and critique spatial analysis methods that are employed behind commonly available transport analysis results
* Design visualizations of geospatial data that minimize distortions and misperceptions
* Anticipate the likely benefits and drawbacks of using GIS for communicating transport data, plans, and analysis results to the public