ANTHROP 3CA3 Lecture Notes - Lecture 14: Laser Ablation, Multivariate Statistics, Sherd
Document Summary
Clay sourcing checking mineralogical qualities of clay(s) (e. g. x a, y b) Workshop sourcing comparing composition of fired vessels (most common used) Cluster division (statistical) comparison of unknown sources with the aim to classify where clusters" come from. Take a thin section under microscope and measure inclusions. Advances in provenience studies have been focused in two areas: instrumentation and statistics. Inductively couples plasma mass spectrometry (icp-ms), x-ray fluorescence (xrf), etc. ) Selecting elements: e. g. periodic table of elements: clay are ubiquitous, not isolates, solid outcrops, production distorts the chemical signatures of clays. They should be good discriminators, have good analytic precision and be reliable no matter the possible soil contamination. Iron, potassium, magnesium and sodium are particularly useful. Multivariate statistics: discriminant function or cluster analysis to form groupings of similar materials. These are sometimes called: paste compositional reference units or pcrus.