predictKde: Predict utilization distribution (UD) values from a 'kde'...
In aspillaga/fishtrack3d: Analysis of Passive Acoustic Telemetry Data in 3D
Description
Usage
Arguments
Value
Description
This function takes a kde object and predicts the utilization
distribution (UD) values for a 3D grid defined by a raster (horizontal
resolution) and a sequence of depths (vertical resolution.)
Usage
1
predictKde(kde, raster, depths)
Arguments
kde
a kde object.
raster
raster to extract the horizontal coordinates of the 3D grid.
depths
vector with depths values defining the vertical resolution of
the 3D grid.
Value
A RasterStack object with the UD volumes of a different depth
interval in each layer.
aspillaga/fishtrack3d documentation built on June 4, 2019, 9:14 a.m.
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Description Usage Arguments Value
Description
This function takes a kde object and predicts the utilization
distribution (UD) values for a 3D grid defined by a raster (horizontal
resolution) and a sequence of depths (vertical resolution.)
Usage
1 | predictKde(kde, raster, depths)
|
Arguments
kde |
a kde object. |
raster |
raster to extract the horizontal coordinates of the 3D grid. |
depths |
vector with depths values defining the vertical resolution of the 3D grid. |
Value
A RasterStack object with the UD volumes of a different depth
interval in each layer.
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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