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Curtin University

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Spatial Data Representation 210

  • 314393
  • Semester 1
  • 25.0
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Spatial representation of real world applications. Spatial data infrastructures. Geospatial data, information and knowledge management. Representation and modelling of multidimensional spatial data including raster, vector, networks and surfaces. Introduction to 3-D and spatio-temporal data. Spatial data modelling approaches including conceptual, relational and object-oriented. Unified Modelling Language (UML). Spatial indexing approaches and techniques. -- Course Website

Prerequisites: 4536 (v.6)<br/> Geographic Information Systems 100<br/> <br/> or any previous version<br/> <br/> <br/><br/> <br/> OR<br/><br/> <br/> 4556 (v.4)<br/> Geographic Information Systems 581<br/> <br/> or any previous version



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