(54.198.94.76)
Users online: 2461    [ij] [ij] [ij] 
Example of HTML Menu
Email id
 

International Journal of Geomatics and Geosciences
Year : 2011, Volume : 2, Issue : 1
First page : ( 11) Last page : ( 20)
Online ISSN : 0976-4380.

Application of cellular automata technique for prediction of growth pattern through Java programming

Umrikar Bhavana N.1,*, Patil Manisha B.2, Desai Chitra G.3

1Department of Geology, University of Pune, Pune

2Department of Computer Science, University of Pune, Pune

3MCA Department, MIT College, Aurangabad, India

*Email: bnumrikar@gmail.com

Online published on 4 January, 2012.

Abstract

Cellular Automata (CA) is an effective simulation technique to study the dynamics of urbanization in rapidly growing cities, from different perspectives of planning and development. CA technique is convenient for encoding spatial structures like built up, agricultural land, waste land, industrial land, plantation etc. The information so generated by CA encoding would not only serve as baseline data but also help in providing predictive scenario to categorize the areas for sustainable urban development. Geographical Information System (GIS) is used to view and analyze data from a geographic perspective. The spatial representation of an object and its related attributes are merged into a unified data file. The paper demonstrates the futuristic view of the study area for the year 2020. The result includes statistical details of built up growth (63.64%) of the area under consideration.

Top

Keywords

Cellular Automata, Supervised Classification, Growth Pattern, Prediction Model.

Top

 
║ Site map ║ Privacy Policy ║ Copyright ║ Terms & Conditions ║ Page Rank Tool
105,326,682 visitor(s) since 30th May, 2005.
All rights reserved. Site designed and maintained by DIVA ENTERPRISES PVT. LTD..
Note: Please use Internet Explorer (6.0 or above). Some functionalities may not work in other browsers.