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Title: Enhanced Data Models for Geographic Information systems
Researcher: Barkha Bahl
Guide(s): Navin Rajpal and Vandana Sharma
University: Guru Gobind Singh Indraprastha University
Completed Date: 2014
Abstract: Geographic Information Systems (GISs) are becoming essential tools for analyzing and newlinegeographically transferring the information about the world. GIS incorporates, both newlinespatial and non spatial data, and has the capability for searches, overlays, association newlineand it also displays output in 2D/3D. In addition to spatial data GISs contain georeferenced newlineinformation which enables near true representation of geography and newlinecapability to provide measurements, variations etc. These features make the technology newlinedifferent from the Computer Aided Design (CAD) systems and conventional database newlineapplications. The capabilities of GIS have brought a paradigm shift in the approach to newlinethe presentation of information. newlineIn order to enhance the outcome of the mentioned capabilities the GIS data representation newlineand storage should be appropriate. This demands proper database designing, leading to the newlinechoice of suitable data model, for the effective results. Various spatial data models at newlineconceptual and logical levels are available for the data representation and storage. Literature newlineshows research gaps at both the levels. At the conceptual level representation of network and newlinetopological geo-primitives for relational databases are not available and at logical level newlinegeometric and topological inconsistencies have not been taken care of appropriately. newlineThe present research has evolved an approach to represent spatial data at conceptual level and newlineto design vector data storage model at logical level. Spatial data representations have been newlineinvestigated further under two important aspects, namely geometric and topologic consistencies newlineusing the developed Terzatto tool. newlineAt conceptual level Topo-Net Spatial Entity Relationship Model has been proposed by newlineenhancing the representations in the existing spatial entity relationship model by introducing newlinerepresentations for topological and network geo-primitives being required for GIS applications.
Appears in Departments:University School of Information and Communication Technology

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01_cover page.pdfAttached File35.44 kBAdobe PDFView/Open
02_copyright.pdf13.01 kBAdobe PDFView/Open
03_acknowldegement.pdf23.06 kBAdobe PDFView/Open
04_abstract.pdf21.26 kBAdobe PDFView/Open
05_certificate.pdf356.35 kBAdobe PDFView/Open
06_toc.pdf52.11 kBAdobe PDFView/Open
07_figures.pdf20.25 kBAdobe PDFView/Open
08_abbreviation.pdf18.47 kBAdobe PDFView/Open
08_tables.pdf18.37 kBAdobe PDFView/Open
09_chapter 01.pdf77.58 kBAdobe PDFView/Open
10_chapter 02.pdf422.63 kBAdobe PDFView/Open
11_chapter 03.pdf224.94 kBAdobe PDFView/Open
12_chapter 04.pdf741.6 kBAdobe PDFView/Open
13_chapter 05.pdf501.59 kBAdobe PDFView/Open
14_chapter 06.pdf43.09 kBAdobe PDFView/Open
15_bibiography.pdf106.35 kBAdobe PDFView/Open

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