Regionalisation as Spatial Data Mining Problem: A Comparative Study.
| ||International Journal of Computer Trends and Technology (IJCTT)|| |
|© May to June Issue 2011 by IJCTT Journal|
|Volume-1 Issue-2 |
|Year of Publication : 2011|
|Authors :P V V S Srinivas, Susanta K Satpathy, Lokesh K Sharma, Ajaya K Akasapu|
P V V S Srinivas, Susanta K Satpathy, Lokesh K Sharma, Ajaya K Akasapu "Regionalisation as Spatial Data Mining Problem: A Comparative Study"International Journal of Computer Trends and Technology (IJCTT),V1(2):152-155 May to June Issue 2011 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract—Regionalisation, an important problem from socio - geography. It could be solved by a classification algorithm for grouping spatial objects. A typical task is to find spatially compact and dense regions of arbitrary shape with a homogeneous internal d istribution of social variables. Grouping a set of homogeneous spatial units to compose a larger region can be useful for sampling procedures as well as many applications such as customer segmentation. It would be helpful to have specific purpose regions, depending on the kind of homogeneity one is interested in. In this paper we perform comparative study on various regionalisation techniques available in literatures.
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KeywordsSpatial Data Mining, Regionalisation, Spatial Cluster