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.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
Document Type: Research Article
School of Geography, Archaeology, and Palaeoecology,Queen's University Belfast,
Departament Informàtica i Matemàtica Aplicada,Universitat de Girona,
Departament Matemàtica Aplicada III,Universitat Politècnica de Catalunya,
Publication date: 2012-11-01