Microsoft Word remote sensing-booklet doc

 
 
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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HEC — RS&GIS Curricula 2005
 
 
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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.