krigeSimCE

Simulating a conditional/unconditional Gaussian random field via kriging and circulant embedding

Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.

Edzer Pebesma

gstat

Spatial and Spatio-Temporal Geostatistical Modelling, Prediction
and Simulation

Benedikt Graeler

krigeSimCE function

<dl> <dt>formula</dt>
<dd>the formula of the kriging predictor</dd> <dt>data</dt>
<dd>spatial data frame that conditions the simulation</dd> <dt>newdata</dt>
<dd>locations in space where the Gaussian random field shall be simulated</dd> <dt>model</dt>
<dd>a vgm model that defines the spatial covariance structure</dd> <dt>n</dt>
<dd>number of simulations</dd> <dt>ext</dt>
<dd>extension factor of the circulant embedding, defaults to 2</dd></dl>

Arguments

Author

Simulation based on circulant embedding — krigeSimCE

<dl>

 <dt>formula</dt>
<dd>the formula of the kriging predictor</dd>

 <dt>data</dt>
<dd>spatial data frame that conditions the simulation</dd>

 <dt>newdata</dt>
<dd>locations in space where the Gaussian random field shall be simulated</dd>

 <dt>model</dt>
<dd>a vgm model that defines the spatial covariance structure</dd>

 <dt>n</dt>
<dd>number of simulations</dd>

 <dt>ext</dt>
<dd>extension factor of the circulant embedding, defaults to 2</dd>

</dl>

krigeSimCE: Simulation based on circulant embedding

Description

Usage

Value

Arguments

Author

References

See Also

Examples