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ClimInd (version 0.1-2)

hciu: Holliday Climate Index Urban

Description

Holliday Climate Index for Urban destinations (Scott et all, 2016) (Tmax,wind,cloudiness,RH, precipitation) Scott, D., Rutty, M., Amelung, B. and Tang, M. (2016): An inter-comparison of the Holiday Climate Index (HCI) and the Tourism Climate Index (TCI), Atmosphere, 7, 80, doi:10.3390/atmos7060080 Holliday Climate Index for Urban destinations (Scott et all, 2016) (TX, wind, cloudiness, RH, precipitation) Scott, D., Rutty, M., Amelung, B. and Tang, M. (2016): An inter-comparison of the Holiday Climate Index (HCI) and the Tourism Climate Index (TCI), Atmosphere, 7, 80, doi:10.3390/atmos7060080 HCI : Urban= 4*TC +2*A+(3*precipitation+wind) where TC=thermal comfort (as a function of Tmax [C] and RH [

Usage

hciu(pr, w, data_names = NULL, time.scale = YEAR, na.rm = FALSE)

Arguments

pr

precipitation

w

average wind

data_names

names of each period of time

time.scale

month, season or year

na.rm

logical. Should missing values (including NaN) be removed?

Value

HCIU

References

Scott, D., Rutty, M., Amelung, B. and Tang, M. (2016): An inter-comparison of the Holiday Climate Index (HCI) and the Tourism Climate Index (TCI), Atmosphere, 7, 80, doi:10.3390/atmos7060080

Examples

Run this code
# NOT RUN {
data(data_all)
hciu(pr = data_all$rr, w=data_all$wind)
# }

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