Adnan, Muhammad and Longley, Paul and Singleton, Alex D and Brunsdon, Chris (2010) Towards Real-Time Geodemographics: Clustering Algorithm Performance for Large Multidimensional Spatial Databases. Transactions in GIS, 14 (3). pp. 283-297. ISSN 1467-9671

Preview

Download (444kB) | Preview

Abstract

and demographic characteristics of people living within small geographic areas. They have hitherto been regarded as products, which are the final “best” outcome that can be achieved using available data and algorithms. However, reduction in computational cost, increased network bandwidths and increasingly accessible spatial data infrastructures have together created the potential for the creation of classifications in near real time within distributed online environments. Yet paramount to the creation of truly real time geodemographic classifications is the ability for software to process and efficiency cluster large multidimensional spatial databases within a timescale that is consistent with online user interaction. To this end,this article evaluates the computational efficiency of a number of clustering algorithms with a view to creating geodemographic classifications “on the fly” at a range of different geographic scales.tgis_1197 283..298

Item Type:	Article
Keywords:	Real-Time Geodemographics; Clustering Algorithm Performance; Large Multidimensional Spatial Databases;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
Item ID:	5881
Identification Number:	0.1111/j.1467-9671.2010.01197.x
Depositing User:	Prof. Chris Brunsdon
Date Deposited:	19 Feb 2015 16:09
Journal or Publication Title:	Transactions in GIS
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads