3D Rendering of Geo-Spatial Data in XML/GML Using Python
3D Rendering of Geo-Spatial Data in XML/GML Using Python
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Date
2012-06
Authors
Salisu, Aliyu
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Abstract
Geographic information (also called geo-information, spatial information or geospatial
information) plays an increasingly important role in our society. Location-based services,
applications for urban planning, disaster management systems rely on up-to-date geospatial data.
Geo-spatial data as a major component of every Geographic Information System has been facing
many challenges in its use including: portability, maintainability, interoperability, accessibility
and unavailability of digital dataset. This work proposes a framework for the 3D rendering of
Geo-spatial data in XML/GML which are MarkUp Languages that encodes Geo-spatial
information in the Web. With our framework, we were able to extract Geo-spatial information
from the satellite imagery of an area covered by the Ahmadu Bello University, Zaria, then store
this information in a spatially enabled database interfaced with our Python engine which now
renders this geo-spatial information in GML. The basic idea is to render this geographic
information in a unique environment (the Web) that will make this data portable, accessible,
maintainable and interoperable. The approach reveals interesting results as it was discovered that
the framework with a little extension can be adopted to serve geographic data in other XML-base
technologies capable of holding geographic information like City GML, X3D and KML.
Description
A Thesis submitted to the School of Post Graduate Studies, Ahmadu
Bello University, Zaria in partial fulfillment of the requirement for the
Award of Masters Degree in Computer Science.
Department of Mathematics, Faculty of Science
Ahmadu Bello University, Zaria Nigeria
Keywords
3D Rendering,, Geo-Spatial,, Data,, XML/GML,, Python