ENV (0125) 404 - Environmental Spatial Analysis

Credits: 3.00

Students will learn advanced uses of geographic information systems (GIS) for environmental applications. This course covers the fundamental concepts, principles, and techniques in the analysis of environmental spatial data, data management, modeling, visualization, interpolation, statistical analyses, and remote sensing data analysis.

Prerequisite 1: Prior introductory statistics course is recommended but not required.
Course Learning Goals: During this course, students will learn how to:

Perform basic collection, processing, and storage of geospatial data in accordance with contemporary conventions and best-practices;
Perform evidence-based, interpretive analysis to elucidate problems and solutions;
Create and use spatial data in a geographic information system or other visualization programs such as virtual globes to communicate basic and advanced arguments and background.
Critically evaluate the accuracy, validity, and limitations of geospatial data and geospatial data sources;
Formulate and test hypotheses involving geospatial data;
Make ethical choices in the collection, analysis, and communication of geospatial information.