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An Integrated Approach of GIS and Spatial Data Mining in Big Data

by Hemlata Goyal, Chilka Sharma, Nisheeth Joshi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 169 - Number 11
Year of Publication: 2017
Authors: Hemlata Goyal, Chilka Sharma, Nisheeth Joshi
10.5120/ijca2017914012

Hemlata Goyal, Chilka Sharma, Nisheeth Joshi . An Integrated Approach of GIS and Spatial Data Mining in Big Data. International Journal of Computer Applications. 169, 11 ( Jul 2017), 1-6. DOI=10.5120/ijca2017914012

@article{ 10.5120/ijca2017914012,
author = { Hemlata Goyal, Chilka Sharma, Nisheeth Joshi },
title = { An Integrated Approach of GIS and Spatial Data Mining in Big Data },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 169 },
number = { 11 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume169/number11/28026-2017914012/ },
doi = { 10.5120/ijca2017914012 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:17:06.969117+05:30
%A Hemlata Goyal
%A Chilka Sharma
%A Nisheeth Joshi
%T An Integrated Approach of GIS and Spatial Data Mining in Big Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 169
%N 11
%P 1-6
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An explosive growth of spatial data has been demanding to Spatial Data Mining (SDM) technology, emerging as a innovative area for spatial data analysis. Geographical Information System (GIS) contains heterogeneous data from multidisciplinary sources in different formats. Geodatabase is the repository of GIS data, representing spatial attributes, with respect to location. Rapidly increasing satellite imagery and geodatabases generates huge data volume related to real world and natural resources such as soil, water, temperature, vegetation, forest cover etc. Inferring information from geodatabases has gained value using computational algorithms. The intent of this paper is to introduce with GIS, and spatial data mining, GIS and SDM tools, algorithmic approaches, issues and challenges, and role of spatial association rule mining in big data of GIS.

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Index Terms

Computer Science
Information Sciences

Keywords

GIS SDM Geodatabases Spatial and Nonspatial data Bigdata MRPrePost

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