Charlton, Martin and Brunsdon, Chris and Demšar, Urška and Harris, Paul and Fotheringham, Stewart (2010) Principal Components Analysis: from Global to Local. In: 13 th AGILE International Conference on Geographi c Information Science 2010, 1st Oct. 2010, Portugal.

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Abstract

Principal Components Analysis (PCA) is a widely used technique in the social and physical sciences. Originally developed by Pearson (1901) , the details of extracting components for a data matrix were presented in an extensive two part pa per by Hotelling (1933). In this paper we examine some problems concerning the extraction and interpretation of geographically weighted principal components (Fotheringham et al. 2002: p196-202). We initially consider the basics of principal components, the development of locally weighted principal components (LWPCA) in the exploration of local subsets in attribute space, and finally geographically weighted principal components (GWPCA). As an illustration of the use and interpretation of GWPCA we demonstrate some interpretive methods in a study of social structure in Greater Dublin. A recent application of GWPCA is provided by Lloyd’s (2010) study of population ch aracteristics in Northern Ireland and we extend some of the methodology in this paper.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	Components Analysis; Global to Local;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
Item ID:	5760
Depositing User:	Martin Charlton
Date Deposited:	03 Feb 2015 11:49
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

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