geo_sim: Simulate geostatistical data
In ericwfox/slmrf:
geo_sim R Documentation
Simulate geostatistical data
Description
Function that simulates zero-mean, spatially autocorrelated data with nugget
effect. Simulation procedure uses the Cholesky decomposition method
(Cressie, 1993, p. 201).
Usage
geo_sim(coord, cov_type = "exponential", nugg, parsil, range)
Arguments
coord
data.frame with x,y coordinates for simulation.
cov_type
character. Type of covariance model: exponential,
gaussian, or spherical; default is exponential.
nugg
nugget parameter
parsil
partial sill parameter
range
range parameter
Value
numeric vector with simulated geostatistical data.
Author(s)
Eric W. Fox
ericwfox/slmrf documentation built on Feb. 24, 2024, 11:02 p.m.
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| geo_sim | R Documentation |
Simulate geostatistical data
Description
Function that simulates zero-mean, spatially autocorrelated data with nugget effect. Simulation procedure uses the Cholesky decomposition method (Cressie, 1993, p. 201).
Usage
geo_sim(coord, cov_type = "exponential", nugg, parsil, range)
Arguments
coord |
data.frame with x,y coordinates for simulation. |
cov_type |
character. Type of covariance model: |
nugg |
nugget parameter |
parsil |
partial sill parameter |
range |
range parameter |
Value
numeric vector with simulated geostatistical data.
Author(s)
Eric W. Fox
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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