Main Page > M.Sc GIS Morning > Spatial Data Visualisation
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Spatial Data Visualisation
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1 Geographic information systems and maps 1.1 The map as an interface to GIS 1.2 Spatial data 1.3 Geographical information systems 1.4 GIS issues 1.5 The relation between GIS arid cartography 1.6 Examples of the application of the cartographic method 2 Data acquisition 2,1 The need to know acquisition methods 2-2 Vector file characteristics 2.3 Raster file characteristics 2.4 Deriving data from existing maps 2.5 Control and accuracy 3 Map characteristics 3.1 Maps are unique 3.2 Definitions of cartography 3.3 The cartographic communication process 3.4 Map functions and map types 4 GIS applications: which map to use? 4.1 Maps and the nature of GIS applications 4.2 Cadastre and utilities: use of large-scale maps 4.3 Spatial analysis in geography: use of small-scale maps 4.4 Working with digital data 5 Topography and base maps? 5.1 Georeferencing 5.2 Map projections 5.3 Geometric transformations 5.4 Generalization 5.5 Relief 5.6 Topographic data: mapping and charting organizations 6 Map design 6.1 Introduction 6.2 Symbols to portray data related to points, lines, areas and volumes 6.3 Graphic variables 6.4 Text on the map 7 Statistical mapping 7.1 Statistical surveys 7.2 Data analysis 7.3 Data classification 7.4 Cartographies data analysis 7.5 Mapping methods 8 Cartographic tools 8.1 Requirements for the cartographic component of GIS packages 8.2 Desktop mapping 8.3 Map production 9 Advanced mapping environments 9.1 Introduction 9.2 Electronic atlases 9.3 Maps and multimedia systems 9.4 Animated maps 9.5 Scientific visualization and exploratory data analysis 10 Cartography at work: maps as decision tools 10.1 Again: why maps? 10.2 Working with electronic atlases 10.3 At work with the Digital Chart of the World 10.4 Maps, GIS and the need for nile-based cartography 10.5 Cartography, GIS and spatial information policy |
| Credit hours/ Marks:- 3 |
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