sensors4plumes (version 0.9.3)

interpolationErrorFunctions: Compare original and interpolated maps point-wise

Description

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.

Usage

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)

Arguments

x

vector of length 2 with x[1] the value and x[2] the interpolated value

nout

length of output -- needed as the function is to be called via simulationsApply as fun_pl or fun_l

threshold

threshold to classify all locations

weightFalseNeg

weight for false negative classification, false positive classification is weighted 1

Value

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.

Examples

# NOT RUN {
## see interpolationError
# }