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Prediction of RF-EFM exposure levels in large outdoor areas through car-mounted measurements on the  enveloping roads

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a

b

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2.1.

“RFeye

”

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ring inner

) roads. “Inner” measurements outside the area demarcated by the ring road were removed from the inner data set (I

ring

inner ) roads. “Inner” measurements outside the area demarcated by the ring road were removed from the inner data set

I

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R

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3.1.

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INNER

RING ( W/m

2

)

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Average

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Average

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Table 2: Power density measurements (aggregated per tile) of GSM900 (900 MHz band) and GSM1800 (1800 MHz band) [Bolte et al., 2016]. (Avg. = the geometric mean; Sd. = the geometric standard deviation.)

3.2.

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M

R prediction

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Average

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Average

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, averaged over 200 runs. Predicted values are assigned to the grid tile centres. (Avg. = the geometric mean; Sd. = the geometric

standard deviation.)

GSM900

Average

Average

( = Spearman’s correlation coefficient, Cohen’s , sensitivity and specificity are at

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results. (a) Spearman’s rank correlation coefficient and (b) the relative error

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I

as they’re on the same trajectory through the inner part of the area

d

d

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Amersfoort-d

d

’s

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strategy (for enhanced models) seem to be the main causes of the models’ failure. We suggest

4.1.

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G, Gajšek P, Tr ek T, Bolte J, Vermeeren G, Mohler E, Juhász

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