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Combining Nested and Linear Sampling for Determining the Scale and Form of Spatial Variation of Regionalized Variables
Author(s) -
Oliver Margaret A.,
Webster R.
Publication year - 1986
Publication title -
geographical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 65
eISSN - 1538-4632
pISSN - 0016-7363
DOI - 10.1111/j.1538-4632.1986.tb00095.x
Subject(s) - variogram , scale (ratio) , variance (accounting) , sampling (signal processing) , variation (astronomy) , statistics , variable (mathematics) , spatial variability , geostatistics , spatial analysis , spatial ecology , computer science , mathematics , econometrics , cartography , geography , kriging , ecology , mathematical analysis , physics , accounting , filter (signal processing) , astrophysics , business , computer vision , biology
The scale and pattern of variation of continuous spatial variables are often difficult to identify. The semi‐variogram of regionalized variable theory provides a precise solution once the approximate scale of spatial variation is known. The latter can be determined economically over several orders of magnitude by a nested analysis of variance where stages incorporate spatial scale. The method can become cumbersome if many stages are required, and an unbalanced design is described that enables many stages to be examined with a reasonable number of sampling points. The methods are illustrated with examples from a soil survey in the Midlands of England.