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Geo-statistical index for reshaping the pattern of households emerging over the low lying areas of the Colombo Metropolitan Region

Geo-statistical index for reshaping the pattern of households emerging over the low lying areas... This study examines how individual households have been emerging across the low lying areas during the period 2005-2012 in Colombo Metropolitan Region and the process through which they have gradually established themselves as either stable or unstable households. Mass manipulation of geo-spatial factors in innumerable land plots has led to an increase in harmful environmental effects because the collective strength of human interference is very high. Hence, it is attempted to build a geo-spatial model that can be used as an index to understand how low lying area conversion caused by process of individual households. The individual household plot has been chosen as unit of analysis. Information of 294 households has been collected and data tested with a logistic regression. The model indicates accuracy about 92.2% together with high significance levels for eight variables. Predicted probability value of each household indicates the conversion ratio correctly together with its distribution map. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Information and Decision Sciences Inderscience Publishers

Geo-statistical index for reshaping the pattern of households emerging over the low lying areas of the Colombo Metropolitan Region

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1756-7017
eISSN
1756-7025
DOI
10.1504/IJIDS.2018.093931
Publisher site
See Article on Publisher Site

Abstract

This study examines how individual households have been emerging across the low lying areas during the period 2005-2012 in Colombo Metropolitan Region and the process through which they have gradually established themselves as either stable or unstable households. Mass manipulation of geo-spatial factors in innumerable land plots has led to an increase in harmful environmental effects because the collective strength of human interference is very high. Hence, it is attempted to build a geo-spatial model that can be used as an index to understand how low lying area conversion caused by process of individual households. The individual household plot has been chosen as unit of analysis. Information of 294 households has been collected and data tested with a logistic regression. The model indicates accuracy about 92.2% together with high significance levels for eight variables. Predicted probability value of each household indicates the conversion ratio correctly together with its distribution map.

Journal

International Journal of Information and Decision SciencesInderscience Publishers

Published: Jan 1, 2018

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