Multivariate spatial analysis of lake sediment geochemical data; Melville Peninsula, Nunavut, Canada
Abstract
A multivariate spatial analysis was conducted on a suite of glacial till geochemical data collected over the Melville Peninsula, Nunavut, Canada. Previous studies demonstrated through the application of multivariate statistical techniques that the composition of the lake sediment geochemistry reflects the underlying geology in northern Canada. In this study, the application of minimum/maximum autocorrelation factor analysis (MAF) to glacial till geochemistry has extended the knowledge and description of the underlying geology through the recognition of spatially correlated factors that represent distinct lithologic features and glacial transport processes.
Maps of posterior probabilities for the underlying lithologies were estimated based on the MA factors and compared with those from standard principal component analysis. The use of MAF provides a measured improvement in predictive mapping irrespective of the choice of lag separation.
Document Type
Journal Article
Date of Publication
2016
Publication Title
Applied Geochemistry
Publisher
Elsevier
School
School of Science
RAS ID
21064
Copyright
subscription content
Comments
Mueller, U. A., & Grunsky, E. C. (2016). Multivariate spatial analysis of lake sediment geochemical data; Melville Peninsula, Nunavut, Canada. Applied Geochemistry, 75, 247-262. Available here.