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ramps (version 0.5-2)

corRExpwr2: Non-Separable Powered Exponential Spatio-Temporal Correlation Structure

Description

This function is a constructor for the 'corRExpwr2' class, representing a non-separable spatial correlation structure. Letting $rs$ denote the spatial range, $ps$ the spatial shape, $rt$ the temporal range, $pt$ the temporal shape, $lambda$ the space-time interaction, and $n$ the nugget effect, the correlation between two observations a distance $d$ apart in space and $t$ in time is $\exp(-(d/rs)^ps - (t/rt)^pt - \lambda (d/rs)^ps (t/rt)^pt)$ when no nugget effect is present and $(1-n) \exp(-(d/rs)^ps - (t/rt)^pt - \lambda (d/rs)^ps (t/rt)^pt)$ when a nugget effect is assumed.

Usage

corRExpwr2(value = numeric(0), form = ~ 1, nugget = FALSE,
              metric = c("euclidean", "maximum", "manhattan", "haversine"),
              radius = 3956, fixed = FALSE)

Arguments

value
optional vector with the parameter values in constrained form. If nugget is FALSE, value can have only five elements, corresponding to the spatial range, spatial shape, tempo
form
one sided formula of the form ~ S1+...+Sp+T, specifying spatial covariates S1 through Sp and the times T at which measurement were taken.
nugget
optional logical value indicating whether a nugget effect is present. Defaults to FALSE. This argument exists for consistency with the nlme library and should be left set at its default value when used in georamps s
metric
optional character string specifying the distance metric to be used. The currently available options are "euclidean" for the root sum-of-squares of distances; "maximum" for the maximum difference; "manhattan" for t
radius
radius to be used in the haversine formula for great circle distance. Defaults to the Earth's radius of 3,956 miles.
fixed
optional logical value indicating whether the coefficients should be allowed to vary or be kept fixed at their initial value. This argument exists for consistency with the nlme library and is ignored in the ramps algorithm.

Value

  • Object of class 'corRExpwr2', inheriting from class 'corSpatioTemporal', representing a non-separable spatial correlation structure.

References

Cressie, N. and Huang, H.-C. (1993) Classes of Nonseperable, Spatio-Temporal Stationary Covariance Functions, Journal of the American Statistical Association, 94, 1330-1340.

See Also

corClasses, Initialize.corStruct, summary.corStruct

Examples

Run this code
sp1 <- corRExpwr2(form = ~ x + y + t)

spatDat <- data.frame(x = (0:4)/4, y = (0:4)/4, t=(0:4)/4)

cs1Expwr <- corRExpwr2(c(1, 1, 1, 1, 1), form = ~ x + y + t)
cs1Expwr <- Initialize(cs1Expwr, spatDat)
corMatrix(cs1Expwr)

cs2Expwr <- corRExpwr2(c(1, 1, 1, 1, 1), form = ~ x + y + t, metric = "man")
cs2Expwr <- Initialize(cs2Expwr, spatDat)
corMatrix(cs2Expwr)

cs3Expwr <- corRExpwr2(c(1, 1, 1, 1, 1, 0.2), form = ~ x + y + t, nugget = TRUE)
cs3Expwr <- Initialize(cs3Expwr, spatDat)
corMatrix(cs3Expwr)

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