 Geo-statistical index for reshaping the pattern of households emerging over the low lying areas of the Colombo Metropolitan RegionG.P.T.S. Hemakumara and Ruslan Rainis International Journal of Information and Decision Sciences, 2018, vol. 10, issue 3, 263-278 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. Keywords: geo-statistics; low lying areas; GIS; spatial logistic model; spatial index; urban planning; urban housing. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijidsc:v:10:y:2018:i:3:p:263-278 Access Statistics for this article More articles in International Journal of Information and Decision Sciences from Inderscience Enterprises Ltd |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.