Abstract
This paper describes procedures for grouping sampling sites that are both similar with respect to their properties and near to one another geographically. The aim is to avoid undue fragmentation arising from sampling fluctuations or to create reasonably sized, homogeneous regions to simplify management, or both. This is achieved by using the variogram in two ways to define the degree of constraint imposed. It is used indirectly to determine the spatial extent of classes when segmenting transects and explicitly to compute the dissimilarities between sites for constraining classification in two-dimensions. Both uses are illustrated with examples from one- and two-dimensional soil surveys. The geostatistically constrained spatially weighted method is novel, and the results show that constraint can be applied rationally to decrease undesirable fragmentation.
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© 1989 Springer Science+Business Media Dordrecht
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Oliver, M.A., Webster, R. (1989). Geostatistically Constrained Multivariate Classification. In: Armstrong, M. (eds) Geostatistics. Quantitative Geology and Geostatistics, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-6844-9_29
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DOI: https://doi.org/10.1007/978-94-015-6844-9_29
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