Abstract
Several geostatistical techniques for exploring the structure of spatially distributed multivariate data are presented. The techniques are based on a combination of variogram modelling, principal component analysis and cokriging. Some possibilities to map the essential features of the multivariate spatial structure of the data are discussed. An example using geochemical data is given with an interpretation.
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© 1988 D. Reidel Publishing Company, Dordrecht, Holland
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Wackernagel, H. (1988). Geostatistical Techniques for Interpreting Multivariate Spatial Information. In: Chung, C.F., Fabbri, A.G., Sinding-Larsen, R. (eds) Quantitative Analysis of Mineral and Energy Resources. NATO ASI Series, vol 223. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4029-1_24
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DOI: https://doi.org/10.1007/978-94-009-4029-1_24
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