Fall 2024 Start Date: August 26, 2024
Geospatial Computation is the study of general computational methods applied to spatial and spatiotemporal data for exploratory, confirmatory, descriptive, or predictive analysis. This course introduces foundational concepts in geospatial computation and its applications in spatial data science within the context of geographic information systems (GIS). Computational approaches in spatial simulation, exploratory data analysis, predictive analysis, and geospatial data visualization will be elaborated. Implementation of data-science geospatial approaches in ArcGIS will be covered in the context of spatial problem-solving in a string of applied computational project assignments. Prior experience with ArcGIS is required.
This course uses the most current version of ESRI’s ArcGIS Pro software. Access to software will
be provided by the department.
By the end of this course, the student will be able to:
- Apply appropriate geo-computational approaches in spatial data science for a wide variety of spatial problems
- Apply and interpret spatial pattern mining, spatial regression, and exploratory data analysis
- Recognize stages of spatial analysis that rely on geospatial computation
- Develop repeatable analysis workflows leveraging GIS
- Create and present a project and professional quality story map based on your research
questions and data
- Apply knowledge of GIS approaches to geospatial computation