choose_batch: Adaptively select locations to sample based on uncertainty...
In disarm-platform/DiSARM: A collection of spatial analysis functions related to the DiSARM project at UCSF
Description
Usage
Arguments
Value
Description
Adaptively select locations to sample based on uncertainty and covariance.
The algorithm selects locations with high uncertainy and low correlation
Usage
1
choose_batch(XY, entropy, candidate, rho, nu, batch_size)
Arguments
XY
candidate locations where the batch is choosen from
entropy
entropy computed at the locations XY
rho
Matern covariance parameters of the model
nu
Matern covariance parameters of the model
batch_size:
number of observations in the batch
Value
Returns the row indeces of the selected coordinates.
disarm-platform/DiSARM documentation built on March 4, 2020, 3:49 p.m.
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Description Usage Arguments Value
Description
Adaptively select locations to sample based on uncertainty and covariance. The algorithm selects locations with high uncertainy and low correlation
Usage
1 | choose_batch(XY, entropy, candidate, rho, nu, batch_size)
|
Arguments
XY |
candidate locations where the batch is choosen from |
entropy |
entropy computed at the locations XY |
rho |
Matern covariance parameters of the model |
nu |
Matern covariance parameters of the model |
batch_size: |
number of observations in the batch |
Value
Returns the row indeces of the selected coordinates.
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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