Skip to main content

Compositional Data Analysis in Population Studies

Buy Article:

$53.17 plus tax (Refund Policy)

Abstract:

Many analyses of population data are based on percentages or proportions. Such data are referred to as compositional and complete compositions typically sum to 100 (if expressed as percentages) or one (if expressed as proportions). In geography, the vast majority of analyses of such data make use of standard statistical approaches. There are many warnings, however, both in the geographical literature and elsewhere, that such standard approaches should not be employed directly in the analysis of such data. Aitchison (1986) proposed a methodology for the analysis of compositional data based on taking log-ratios and then applying adapted standard approaches to the transformed data. This article highlights some problems associated with using standard approaches in the analysis of compositional data in population studies and outlines some key log-ratio-based approaches for transformation and the proper analysis of compositional data. A case study is used to demonstrate the application.

Keywords: census data; datos censales; log-ratios; percentages; porcentajes; proporciones; proportions

Document Type: Research Article

DOI: https://doi.org/10.1080/00045608.2011.652855

Affiliations: 1: School of Geography, Archaeology, and Palaeoecology,Queen's University Belfast, 2: Departament Informàtica i Matemàtica Aplicada,Universitat de Girona, 3: Departament Matemàtica Aplicada III,Universitat Politècnica de Catalunya,

Publication date: 2012-11-01

  • Access Key
  • Free ContentFree content
  • Partial Free ContentPartial Free content
  • New ContentNew content
  • Open Access ContentOpen access content
  • Partial Open Access ContentPartial Open access content
  • Subscribed ContentSubscribed content
  • Partial Subscribed ContentPartial Subscribed content
  • Free Trial ContentFree trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more