Description Usage Arguments Value Author(s) Examples
absError
and delineationError
compare an interpolated to an original map (the values in each point respectively). They are to be used as fun_error
in interpolationError
. absError
is the absolute difference between the values. delineationError
compares areas above a given threshold, and indicates false positive and false negative classification.
absErrorMap
and delineationErrorMap
are to be used as fun_l
in interpolationError
, they compute the average over all plumes of the respective error functions to generate a common map.
1 2 3 4 | absError(x, nout = 1)
delineationError(x, nout = 1, threshold = 1e-7, weightFalseNeg = 5)
absErrorMap(x, nout = 1)
delineationErrorMap(x, nout = 1, threshold = 1e-7, weightFalseNeg = 5)
|
x |
vector of length 2 with |
nout |
length of output – needed as the function is to be called via |
threshold |
threshold to classify all locations |
weightFalseNeg |
weight for false negative classification, false positive classification is weighted 1 |
absError
returns a single numeric value, the absolute difference.
delineationError
first computes if the original is above the threshold and if the interpolated is above the threshold; then it determines the result: 0 if classifications agree, 1 for false positive (i.e. original is below threshold, interpolated is above), and weightFalseNeg
for false negative.
absErrorMap
and delineationErrorMap
return single values.
Kristina B. Helle, kristina.helle@uni-muenster.de
1 | ## see interpolationError
|
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