1: Spatial Data Modelling Course Structure: Lectures: 2 /
Labs: 1 Credit Hours: 3 Prerequisites: Spatial data visualization Objectives: This course attempts to provide an introduction to GIS data
models and data structures. The subject continues with a systematic
overview of spatial data models (e.g. raster and vector) and the structures
used to implement these, together with methods of spatial feature
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addressing, geometry of objects, topology, object hierarchies and
aggregations, the modeling of fuzzy objects and the uncertainty aspects of
spatial data.
