Dissecting the space-time structure of tree-ring datasets using the partial triadic analysis.

ABSTRACT: Tree-ring datasets are used in a variety of circumstances, including archeology, climatology, forest ecology, and wood technology. These data are based on microdensity profiles and consist of a set of tree-ring descriptors, such as ring width or early/latewood density, measured for a set of individual trees. Because successive rings correspond to successive years, the resulting dataset is a ring variables × trees × time datacube. Multivariate statistical analyses, such as principal component analysis, have been widely used for extracting worthwhile information from ring datasets, but they typically address two-way matrices, such as ring variables × trees or ring variables × time. Here, we explore the potential of the partial triadic analysis (PTA), a multivariate method dedicated to the an

SUBMITTER: Rossi JP 

PROVIDER: S-EPMC4172773 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature