sen.slope: Sen's slope estimate

In mannkendall/R: MannKendall trends for geophysical time series

Description

It computes the median of the slopes for each interval (xj - xi) / (j - i), j>i (see Gilbert 1987) The confidence limits are compute with an interpolation that is important is the number of data is small, such as yearly averages for a 10 year's trend.

Usage

sen.slope(data, epoch.time, vari, alpha.cl = 90)

Arguments

data	a vector of observed data
epoch.time	vector of integer times (e.g. days) from the epoch
vari	Kendall variance as calculated by Kendall.var
alpha.cl	confidence level for the confidence limit (90 or 95; default: 90)

Value

slope Sen's slope

LCL slope lower confidence limit

UCL slope upper confidence limit

Author(s)

Martine Collaud Coen ([e-mail]), MeteoSwiss (CH) and Alessandro Bigi ([e-mail]), University of Modena and Reggio Emilia (IT)

References

Collaud Coen, M., Andrews, E., Bigi, A., Romanens, G., Martucci, G., and Vuilleumier, L.: Effects of the prewhitening method, the time granularity and the time segmentation on the Mann-Kendall trend detection and the associated Sen's slope, Atmos. Meas. Tech., https://doi.org/10.5194/amt-2020-178, 2020.

mannkendall/R documentation built on Feb. 2, 2022, 7:31 p.m.