Abstract
Spatial Factor Analysis (SPFAC) is a technique used to determine multivariate relationships from the auto-cross-correlation relationships of spatially referenced data. The method derives linear combinations of variables with maximum autocorrelation for a specified lag distance. Eigenvectors are calculated from a co variance quotient matrix derived from auto-cross correlation estimates at lag 0 and distance d. SPFAC has been applied to regional geochemical (moss mat) sampling data collected in the southern part of Vancouver Island, British Columbia, Canada. The results of the analysis show that regional geochemical trends and interelement associations change with lag distance and orientation and can reflect the underlying spatially based lithological variations. The technique also has been applied to lithogeochemical data in the Sulphurets area of British Columbia, Canada. Zones of alteration associated with porphyry copper and gold mineralization have been shown to be distinct spatially from the background.
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© 1996 Plenum Press, New York
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Grunsky, E.C., Cheng, Q., Agterberg, F.P. (1996). Applications of Spatial Factor Analysis to Multivariate Geochemical Data. In: Geologic Modeling and Mapping. Computer Applications in the Earth Sciences. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0363-3_12
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DOI: https://doi.org/10.1007/978-1-4613-0363-3_12
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