@article{daad4b1394cc470dbbe8eee684c9257f,
title = "The Use of Multi-Component Statistical Techniques in Understanding Subduction Zone Arc Granitic Geochemical Data Sets",
author = "L. Pompe and Clausen, {B. L.} and Morton, {D. M.}",
note = "Multi-component statistical techniques and GIS visualization are emerging trends in understanding large data sets. Our research applies these techniques to a large igneous geochemical data set from southern California to better understand magmatic and plate tectonic processes. A set of 480 granitic samples collected by Baird from this area were analyzed for 39 geochemical elements.",
year = "2015",
month = dec,
day = "1",
language = "American English",
volume = "2015",
journal = "AGU Fall Meeting Abstracts",
}