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An Empirical Study of Spatial Datatypes and their Integration into Query Language

by Disha Kawatra, Veepu Uppal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 14
Year of Publication: 2015
Authors: Disha Kawatra, Veepu Uppal
10.5120/20810-1942

Disha Kawatra, Veepu Uppal . An Empirical Study of Spatial Datatypes and their Integration into Query Language. International Journal of Computer Applications. 118, 14 ( May 2015), 1-3. DOI=10.5120/20810-1942

@article{ 10.5120/20810-1942,
author = { Disha Kawatra, Veepu Uppal },
title = { An Empirical Study of Spatial Datatypes and their Integration into Query Language },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 14 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number14/20810-1942/ },
doi = { 10.5120/20810-1942 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:01:39.724917+05:30
%A Disha Kawatra
%A Veepu Uppal
%T An Empirical Study of Spatial Datatypes and their Integration into Query Language
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 14
%P 1-3
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the expeditious development in Geographic Information System (GIS) and their applications, leads to the increment in the geo-graphical databases that have been developed by different vendors. However, the amalgam of data and accessing is still havoc for the development of GIS. Spatial or geometric data types provide basic abstraction for modeling the geometric structure of objects in space and building the relationships among objects, properties and their operations. Operations on spatial data types include spatial operations on the area of a region, topological relationships checking the relative position of spatial objects to each other like overlap, meet, disjoint, or inside, and cardinal direction relationships like north or southeast.

References
  1. Ralf Hartmut Güting," An Introduction to Spatial Database Systems", Special Issue on Spatial Database Systems of the VLDB Journal ,Vol. 3, No. 4, October 1994. .
  2. Knut Stolze," SQL/MM Spatial: The Standard to Manage Spatial Data in Relational Database Systems", BTW 2003, Leipzig, Feb 2003.
  3. Jim Melton, Andrew Eisenberg,"SQL Multimedia and Application Packages (SQL/MM)", Volume 30 Issue 4, December 2001. Tavel, P. 2007 Modeling and Simulation Design. AK Peters Ltd.
  4. ShashiShekhar, Jin SoungYoo, "Processing in-route nearest neighbor queries:a comparison of alternative approaches", ACM , New York, NY, USA, 2003.
  5. Markus Schneider,"Spatial Data Types", Springer-Verlag, 2009
  6. SamadiAlinia, M. R. Delava, "Applications of Spatial Data Infrastructure in Disaster Management", May 21, 2009.
  7. Mohammed Abdalla, Hoda M. O. Mokhtar, Mohamed Noureldin, "A Unified Approach For Spatial Data Query" International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol. 3, No. 6, November 2013.
  8. PrachiMisraSahoo, "Introduction of Geographic Information System", I. A. S. R. I, New Delhi-11001
Index Terms

Computer Science
Information Sciences

Keywords

Keywords: overlap cardinal direction relationships disjoint

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