Geographic Info Systems (GIS) Advanced

Catalog description

This course focuses on using real world examples and exercises to provide instruction on creating spatial models and predictive models, analyzing spatial patterns and dependence, deriving landscape and terrain variables as input for modeling, and creating professionally attractive maps using time-aware data. The course is intended for candidates from fields ranging from conservation and environmental sciences, business administration, urban planning and sustainability, advocacy and social justice. The content for this course includes raster data manipulation, analysis and interpretation, advanced data editing, regression, suitability The content for this course includes raster data manipulation, analysis and interpretation, advanced data editing, regression, suitability and hotspot analysis, change detection, spatial distribution models, environmental assessment, and impact analysis, and human footprint analysis. ArcGIS Desktop, Quantum GIS, gvSIG, Google Earth, InVest, and Maxent, in combination with statistical packages such as SPSS will be used. To take this course, candidates are required to have successfully completed the first section of the certificate program. This is a hybrid course which can be taken completely on line. Students local to the AUNE campus may attend onsite during online sessions.