Type of Credit: Elective
Credit(s)
Number of Students
The course on Spatial Decision Making deals with the process of arriving at decisions based on the combined assessment of temporal, spatial as well as non-spatial data. Such assessments can, for example, be dealing with the identifcation of locations for placing energy installations, or they can be dealing with assessing hazard zones, or they might be dealing with the effect of changes in land use in order to develop new policies. Due to the complexity of such tasks computer support is needed and is commonly provided in the form of Spatial Decision Support Systems (SDSS). Such systems, however, have to be tailored to the respective needs.
The course highlights the process of defining and developing workflows using Geographic Information System software, also in combination with third-party modeling software. It discusses the foundation of decision-making processes and establishes the connection between problem formulation, data management, workfow defnition, assessments and the decision itself.
能力項目說明
Students will learn about existing spatial decision-making projects from the literature, learn how to select useful projects, collect and model data, how to develop workflows and how to arrive at conclusions based on a set of variables and their critical assessment and judgment.
They will be able to create a targeted decision making system from scratch using Geographic Information System software and their own spatial data model.
Classes are 3 hours and take place in the GIS lab (270610).
Due to the practical nature of this course, we will follow a hybrid approach with mixed theory and practice.
This course and all handout/upload material are provided in English, therefore a basic command of the English language will be required.
Also, a basic understanding of spatial data and a feeling for spatial information and relationships are of advantage. Basic knowledge of, and experience with (a) GIS and (b) database management systems are welcome but not required.
For a topical schedule see course attachment.
This course has a midterm and final exam.
Homework assignments and bonus exercises will help to consolidate the obtained knowledge.
All relevant material will be distributed during class.
There is currently no suitable textbook on the market, and those that provide some background detail on this dynamic topic are outdated. The following contribution comes closest to the course aims and if you find it online or as hardcopy in a library, it does not hurt to take a look.
Sugumaran R, Degroote, J (2010): Spatial Decision Support Systems: Principles and Practices.- 469 pp, CRC Press. ISBN: 9781420062120.