predict.geolmStd
(Package: gear) :
Predict method for geostatistical models
predict calculates the predicted values at specified locations. The method can additionally provide the mean square prediction error (mspe) and perform conditional simulation.
● Data Source:
CranContrib
● Keywords:
● Alias: predict.geolmStd
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decomp.cov
(Package: gear) :
Decompose covariance matrix
decomp.cov decomposes a covariance matrix v. If A = decomp.cov(v), then tcrossprod(A, A) == v.
● Data Source:
CranContrib
● Keywords:
● Alias: decomp.cov
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mle
(Package: gear) :
Finds maximum likelihood estimates of model parameters for a geostatistical model
mle estimates the parameters of a geostatistical linear model. The function is written to automatically adapt based on the class of object. See Details.
● Data Source:
CranContrib
● Keywords:
● Alias: mle, mle.geolmStd
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angle2d
(Package: gear) :
Determine angle
angle2d determines the angle between pairs of coordinates in degrees or radians. The coordinats are assumed to be in 2d space.
● Data Source:
CranContrib
● Keywords:
● Alias: angle2d
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vgram
(Package: gear) :
Sample semivariogram
vgram calculates the sample semivariogram.
● Data Source:
CranContrib
● Keywords:
● Alias: vgram
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update.geolmStd
(Package: gear) :
Update linear model for geostatistical data.
update updates a geostatistical linear model based on the given covariance model.
● Data Source:
CranContrib
● Keywords:
● Alias: update.geolmMan, update.geolmStd
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geolm
(Package: gear) :
Linear model for geostatistical data.
geolm creates a geostatistical linear model object of the appropriate class based on the arguments, especially the cmod arguments.
● Data Source:
CranContrib
● Keywords:
● Alias: geolm
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cmod.std
(Package: gear) :
Standard covariance models for geostatistical data.
Creates a standard covariance model (cmodStd) object for geostatistical data.
● Data Source:
CranContrib
● Keywords:
● Alias: cmod.std
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co
(Package: gear) :
Geochemical measurements for 960 sites in Colorado.
These data were collected by the United States Geological Survey (USGS). Their description is as follows: In 2006, soil samples were collected at 960 sites (1 site per 280 square kilometers) throughout the state of Colorado. These samples were collected from a depth of 0 to 15 centimeters and, following a near-total multi-acid digestion, were analyzed for a suite of more than 40 major and trace elements. The resulting data set provides a baseline for the natural variation in soil geochemistry for Colorado and forms the basis for detecting changes in soil composition that might result from natural processes or anthropogenic activities.
● Data Source:
CranContrib
● Keywords:
● Alias: co
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cmod.man
(Package: gear) :
Standard covariance models for geostatistical data.
cmod.man manually creates a covariance matrix object (cmodMan) for geostatistical data.
● Data Source:
CranContrib
● Keywords:
● Alias: cmod.man
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