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Spring 2019
Sep 26, 2022
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Information Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course.

PPOL 683 - GIS&Spatial Data Modeling-PPOL
Data driven policies have direct impact on people and the places they live. Across public or private sectors, policy analysts need to be able to understand the places, people and relationships of their constituents. Analyst and policy makers also need to effectively communicate policy decision and the information used to make policy. In this course we will demonstrate the depth and breadth of analyzing policy, environmental, and social data using a geographic approach. We will cover spatial analysis in six parts:

1. Mapping open data sources
2. Key considerations in spatial data mining
3. Finding patterns in your data (Spatial data mining) 
4. Multi-criteria decision support and prediction - 
5. Modeling spatial relationships – Spatial econometrics
6. Integration with statistical tools and building custom tools. 

This will provide the student with an overview of mapping, analysis and spatial statistics. Along the way we will also learn how to effectively communicate results from our analysis and make data accessible for others for reproducibility. While a background in GIS will be helpful it is not required.

Software requirements: ArcGIS Desktop 10.3+ (there is a home use or academic licensing that students should be able to use for the course.) Ideally, the majority of the class could be held in a computer lab equipped for interactive lectures and in-class exercises.

3.000 Credit hours
3.000 Lecture hours
0.000 Lab hours

Levels: MN or MC Graduate, Juris Doctor
Schedule Types: Lecture, Seminar

Public Policy Department


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