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3D Rendering of Geo-Spatial Data in XML/GML Using Python

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– 3D Rendering of Geo-Spatial Data in XML/GML Using Python –

Download 3D Rendering of Geo-Spatial Data in XML/GML Using Python. Mathematics students who are writing their projects can get this material to aid their research work.

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 the digital datasets.

This work proposes a framework for the 3D rendering of Geo-spatial data in XML/GML which are MarkUp Languages that encode Geo-spatial information in the Web.

Introduction

The World Wide Web has found its application in all spheres of life and studies. Geographic information management and analysis is not an exception to this.

Geography is primarily concerned with location-based phenomena in both manmade and natural realms, why things are located where they are, for example, why people inhabit flood-prone areas, how they are related to historical and present activities, and how to make better plans for the future based on experience gained in the past. (Alan, 2003)

The essence of geography resides in location-related problem solving and decision making. Let us take a look at a few examples. In e-government, location intelligence is used to plan growth, improve public services and share information with citizens.

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