incl: Compute similarity index
In environmentalinformatics-marburg/gpm: Geospatial predictive modeling using parameterized and unparameterized models.
Description
Usage
Arguments
Details
Value
See Also
Examples
Description
Compute similarity index based on expanding window approach
Usage
1
incl(x)
Arguments
pred,
ref raster object containing the predicted and referen values respectivly.
win
max window size. For now defaults to 3.
lweights
vector with weights for layers of each window.
cweights
matrix with weights for class changes.
Details
Similarity index based on the approach in http://www.likbez.com/AV/PUBS/Kuhnert2005PERS.pdf.
Value
similarity index
See Also
compContingencyTable calcKappa for calculating kappa coefficients based on
contingency tables.
Examples
1
2
not run:
exwin(pred_raster, training_sites_shape)
environmentalinformatics-marburg/gpm documentation built on July 11, 2020, 11:12 a.m.
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Description Usage Arguments Details Value See Also Examples
Description
Compute similarity index based on expanding window approach
Usage
1 | incl(x)
|
Arguments
pred, |
ref raster object containing the predicted and referen values respectivly. |
win |
max window size. For now defaults to 3. |
lweights |
vector with weights for layers of each window. |
cweights |
matrix with weights for class changes. |
Details
Similarity index based on the approach in http://www.likbez.com/AV/PUBS/Kuhnert2005PERS.pdf.
Value
similarity index
See Also
compContingencyTable calcKappa for calculating kappa coefficients based on
contingency tables.
Examples
1 2 | not run:
exwin(pred_raster, training_sites_shape)
|
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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