AGSC 6525 - Remote Sensing and Image Analysis 3

This course evaluates the concepts and analytical procedures used to extract and simplify complex systems using geospatial information systems (GIS). This course analyzes geometric, coincidence, and adjacency models as applied to surface analysis, linear analysis, raster analysis, topological overlay, and contiguity analysis. Spatial modeling will be used to analyze, simulate, predict, and resolve real-world problems and issues. Upon successful completion of Advanced Spatial Analysis, students will have the knowledge and skills to develop and differentiate between advanced spatial statistical models needed to predict and solve real-world problems correlated to geospatial data. Students should be able to: apply the terminology and concepts of spatial analysis and modeling; apply specific forms of three-dimensional spatial data and their structure, organization, and analysis; differentiate between methodologies used in spatial analysis; interpret the representation of three-dimensional spatial data through spatial statistics; and apply concepts of planning used in the spatial analysis decision- making processes.