Geospatial Data Science and Analysis

Catalog description

This course provides exposure to and practice applying a variety of geospatial analysis methods and tools to support decision-making. Students will use both ArcGIS Pro and the R(TM) programming language and briefly explore the interoperability between these platforms. Using both platforms, we will practice data cleaning and processing, as well as descriptive and inferential spatial analysis methods. Students will learn to identify common limitations and special considerations that arise when working with geospatial data workflows and will learn how to leverage multiple tools to develop appropriate analysis methods. This course will be a combination of lectures and hands-on software training. Prior knowledge of GIS fundamentals is required.