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Variogram: Random Field, Stochastic Process -

English
2026-03-17
€156.58 €195.73

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High Quality Content by WIKIPEDIA articles! In spatial statistics the theoretical variogram 2¿(x,y) is a function describing the degree of spatial dependence of a spatial random field or stochastic process Z(x). It is defined as the expected squared increment of the values between locations x and y (Wackernagel 2003): 2gamma(x,y)=Eleft(|Z(x)-Z(y)|^2right) , where ¿(x,y) itself is called the semivariogram. I ... Full description

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High Quality Content by WIKIPEDIA articles! In spatial statistics the theoretical variogram 2¿(x,y) is a function describing the degree of spatial dependence of a spatial random field or stochastic process Z(x). It is defined as the expected squared increment of the values between locations x and y (Wackernagel 2003): 2gamma(x,y)=Eleft(|Z(x)-Z(y)|^2right) , where ¿(x,y) itself is called the semivariogram. In case of a stationary process the variogram and semivariogram can be represented as a function ¿s(h) = ¿(0,0 + h) of the difference h = y ¿ x between locations only, by the following relation (Cressie 1993): ¿(x,y) = ¿s(y ¿ x). If the process is furthermore isotropic, then variogram and semivariogram can be represented by a function ¿i(h): = ¿s(he1) of the distance h=|y-x| only (Cressie 1993): ¿(x,y) = ¿i(h). The indexes i or s are typically not written. The terms are used for all three forms of the function. Moreover the term variogram is sometimes used for semivariogram and the symbol ¿ for the variogram, which brings some confusion.

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Publisher OmniScriptum
Release year 2026
Cover type Softcover
EAN 9786131121364
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€156.58 €195.73