International Journal of Geomatics and Geosciences
Open Access
  • Year: 2015
  • Volume: 6
  • Issue: 1

Spatial data analysis on the cloud

  • Author:
  • Sana Zakir Hussain, Sujala Deepak Shetty
  • Total Page Count: 4
  • Page Number: 20 to 23

Computer Science Department, BITS Pilani, Dubai Campus

*skcs10814@gmail.com

Online published on 19 April, 2016.

Abstract

Spatial Data is usually big data and requires large amount of computing power, space and specialized features for its analysis. Thus, the scientists at ESRI came up with an open source project, GIS Tools for Hadoop on GitHub. The project aims at integrating the distributed computing power of Hadoop and the specialized geometry libraries provided by ARCGIS to perform Big Data Spatial Analysis. In this paper, we have further explored this ESRI Project on the Amazon EC2 cloud. Thus, we conclude that a trio of ArcGIS, Apache Hadoop and Cloud can miraculously improve the quality of spatial data analysis if given a chance.

Keywords

Cloud, big data, apache Hadoop, ArcGIS, Amazon EC2, spatial analysis, SSH protocol