Abstract
Multivariate analysis aims to understand and describe the relationships between an arbitrary number of variables. Earth scientists often deal with multivariate data sets such as microfossil assemblages, geochemical fingerprints of volcanic ash layers, or the clay mineral content of sedimentary sequences.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Recommended Reading
Aitchison J (1984) The Statistical Analysis of Geochemical Composition. Mathematical Geology 16(6):531–564
Aitchison J (1999) Logratios and Natural Laws in Compositional Data Analysis. Mathematical Geology 31(5):563–580
Birks HJB, Gordon AD (1985) Numerical Methods in Quaternary Pollen Analysis. Academic Press, London
Brown CE (1998) Applied Multivariate Statistics in Geohydrology and Related Sciences. Springer, Berlin Heidelberg New York
Fisher RA (1936) The use of multiple measurements in taxonomic problems. Annals of Eugenics 7:179–188
Hardle WK, Simar L (2012) Applied Multivariate Statistical Analysis. Springer, Berlin Heidelberg New York
Hermanns R, Trauth MH, McWilliams M, Strecker M (2000) Tephrochronologic Constraints on Temporal Distribution of Large Landslides in NW-Argentina. Journal of Geology 108:35–52
Hotelling H (1931) Analysis of a Complex of Statistical Variables with Principal Components. Journal of Educational Psychology 24(6):417–441
Hyvarinen A (1999) Fast and Robust Fixed-Point Algorithms for Independent Component Analysis. IEEE Transactions on Neural Networks 10(3):626–634
MathWorks (2014a) Fuzzy Logic Toolbox - User’s Guide. The MathWorks, Inc., Natick, MA
MathWorks (2014b) Statistics Toolbox - User’s Guide. The MathWorks, Inc., Natick, MA
Olorunfemi MO (1985) Statistical Relationships Among Some Formation Parameters for Sherwood Sandstone, England. Mathematical Geology 17:845–852
Pawlowsky-Glahn V (2004) Geostatistical Analysis of Compositional Data - Studies in Mathematical Geology. Oxford University Press, Oxford
Pearson K (1901) On lines and planes of closest fit to a system of points in space. Philosophical Magazine and Journal of Science 6(2):559–572
Reyment RA, Savazzi E (1999) Aspects of Multivariate Statistical Analysis in Geology. Elsevier Science, Amsterdam
Streckeisen A (1976) To each plutonic rock its proper name. Earth-Science Reviews 12:1–33
Swan ARH, Sandilands M (1995) Introduction to Geological Data Analysis. Blackwell Sciences, Oxford
Trauth MH, Bookhagen B, Mueller A, Strecker MR (2003) Erosion and climate change in the Santa Maria Basin, NW Argentina during the last 40,000 yrs. Journal of Sedimentary Research 73 (1):82–90
Westgate JA, Shane PAR, Pearce NJG, Perkins WT, Korisettar R, Chesner CA, Williams MAJ
Acharyya SK (1998) All Toba Tephra Occurrences Across Peninsular India Belong to the 75,000 yr BP Eruption. Quaternary Research 50:107–112
Zadeh L (1965) Fuzzy sets. Information Control 8:338–353
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Trauth, M.H. (2015). Multivariate Statistics. In: MATLAB® Recipes for Earth Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46244-7_9
Download citation
DOI: https://doi.org/10.1007/978-3-662-46244-7_9
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-46243-0
Online ISBN: 978-3-662-46244-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)