Multivariate spatial analysis of lake sediment geochemical data; Melville Peninsula, Nunavut, Canada
Document Type
Journal Article
Publication Title
Applied Geochemistry
Publisher
Elsevier
School
School of Science
RAS ID
21064
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.
DOI
10.1016/j.apgeochem.2016.02.007
Access Rights
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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.