Description Usage Arguments Value Note Author(s) References See Also Examples

This function is a constructor for the `'corRExp2'`

class, representing a non-separable spatial correlation structure. Letting *rs* denote the spatial range, *rt* the temporal range, and *lambda* the space-time interaction, the correlation between two observations a distance *d* apart in space and *t* in time is *exp(-d/rs - t/rt - lambda * (d/rs) * (t/rt))*.

1 2 3 |

`value` |
optional numeric vector of three parameter values for the exponential correlation structure, corresponding to the “spatial range”, “temporal range”, and “space-time interaction”. The range parameter values must be greater than zero, and the interaction greater than or equal to zero. Defaults to |

`form` |
one-sided formula of the form |

`metric` |
optional character string specifying the distance metric to be used. The currently available options are |

`radius` |
radius to be used in the haversine formula for great-circle distance. Defaults to the Earth's radius of 3,956 miles. |

Object of class `'corRExp2'`

, inheriting from class `'corRSpatioTemporal'`

, representing a non-separable spatial correlation structure.

When `"haversine"`

is used as the distance metric, longitude and latitude coordinates must be given as the first and second covariates, respectively, in the formula specification for the `form`

argument.

Brian Smith [email protected]

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

1 2 3 4 5 6 7 8 9 10 11 | ```
sp1 <- corRExp2(form = ~ x + y + t)
spatDat <- data.frame(x = (0:4)/4, y = (0:4)/4, t=(0:4)/4)
cs1Exp <- corRExp2(c(1, 1, 1), form = ~ x + y + t)
cs1Exp <- Initialize(cs1Exp, spatDat)
corMatrix(cs1Exp)
cs2Exp <- corRExp2(c(1, 1, 1), form = ~ x + y + t, metric = "man")
cs2Exp <- Initialize(cs2Exp, spatDat)
corMatrix(cs2Exp)
``` |

brian-j-smith/ramps documentation built on May 12, 2019, 5:44 a.m.

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