Semester Offering: January
 

This course will familiarize students with advanced topics of spatial database accuracy assessment, 2D and 3D spatial modeling, analysis of discrete and continuous entities in space. There will be special emphasis on statistical analysis of spatial data. Students will be trained to develop models based on regression analysis and logical analysis. Students will also learn customization and automation in GIS and also learn techniques to put the GIS on to Internet.

 

Development in GIS Technology. Accuracy of Geo-spatial Databases. Voronoi Methods and TIN Algorithms. 3D-GIS for City Modeling. The Analysis of Discrete Entities in Space. The Spatial Analysis using Continuous Fields. Customization and Automation in GIS. Internet GIS.

 

AT76.01 (Geographic Information Systems)

 

I Introduction to Advances in GIS Technology
1. State of the Art of GIS Technologies
2. Main Application Topics

II Accuracy of Geo-spatial Databases
1. Data Uncertainty of Geo-spatial Data
2. Locational Uncertainty Processing
3. Attribute Uncertainty Processing
4. S-Buffer Model
5. Some Examples

III 3D-GIS for City Modeling
1. 3D-GIS Models
2. Acquisition of 3D Geo-spatial Data
3. Generation of 3D Geo-spatial Databases
4. Visualization and Virtual Reality
5. Examples for 3D City Modeling

IV The Analysis of Discrete Entities in Space
1. Operations on Attributes of Geographic Objects
2. Attribute Descriptors
3. Point Descriptors: Central Tendency, Dispersion and Distribution
4. Operations on Attributes of Multiple Overlapping Entities in Space
5. Cartographic Operations
6. Pattern Detectors: Nearest Neighbor Analysis, Application
7. Characteristics of Linear Features: Network Analysis
8. Directional Statistics

V The Spatial Analysis using Continuous Fields
1. Map Algebra and Cartographic Modeling
2. Point Operations
3. Spatial Analysis Using Convolution
4. Deriving Surface Topology and Drainage Networks
5. Spatial Regression Analysis and Modelling

VI The Spatial Pattern Descriptors
1. Spatial Relationship
2. Spatial Autocorrelation
3. Scatter Plots - Moran
4. Spatial Indices

VII Customization and Automation in GIS
1. Customization to End User Needs
2. Introduction to Programming in GIS
3. Automation in GIS Functionality

VIII GIS on Internet
1. Scope and Concept of Open GIS
2. Developing an Internet GIS

 

Database import and export using SQL, Statistical analysis, Regression analysis of spatial data, Advance data analysis, 3D modeling in GIS, Map algebra and cartographic modeling, Hotlinking, Automation and customization, Programming in GIS, Internet GIS.

 

Lecture notes
P.A. Burrough and R. A. McDonnell (1998):
Principles of Geographic Information Systems, Oxford University Press.
J. Lee, D.W.S. Wong (2002):
Statistical Analysis with Arc View GIS: John Wiley and Sons, Inc., New York.

 

W.E. Huxhold (1991):
An Introduction to Urban Geographic Information Systems, Oxford University Press.
M. Goodchild and S. Gopal (1994):
Accuracy of Spatial Databases. Taylor & Francis,

 

International Journal of GIS
Asian Journal of Geoinformatics
GIS World
Photogrammetric Engineering and Remote Sensing

 

N/A

 

The Final grades will be computed according to the following percentage distribution: Mid-Semester Examination 20%; Final Examination 40%; Assignments 10% Lab Assignments 30%. Examination will be closed book.