GIS 300 Introduction to Spatial Analysis Covers statistical and spatial analytical techniques. Describes attribute analysis including central tendency and dispersion, measurement, difference, correlation, classification and recoding. Introduces fundamental spatial anlytical tools such as overlay, buffering, proximity, spatial dispersion, network modeling, and gravity models. Discusses centroids and theissen polygons. Examines clipping, masking, and dissolving and merging spatial information.
Students complete a series of computer exercises.
GIS 400 GIS Database Design and Data Standards Explains how to design and implement a spatial database. Examines implementation issues for vector and raster formats. Covers the integration of relational spatial and attribute databases and database management techniques. Discusses metadata management, data dictionaries and information system standards. Describes digital map library construction.