nspot: Non-Stationary Peak-over-threshold analysis (NSPOT)

In rsnotivoli/nspotPrec: NSPOT analysis of daily precipitation and climate indices.

Description

This function analyzes the individual and combined influence of climatic indices on extreme precipitation events.

Usage

nspot(
  pcp,
  ind,
  sts,
  dates,
  tstep = "annual",
  thres = 0.9,
  var = "intensity",
  path = NULL,
  isEvent = TRUE,
  method = "gpd",
  ind_names
)

Arguments

pcp	Vector containing the ID of the station (first element) and the daily precipitation data series (rest of the elements).
ind	Matrix or data.frame with daily indices, by columns.
sts	Matrix or data.frame containing (all) the stations information. Must have, at least: ID, NAME, LON, LAT.
tstep	Time step considered for the analysis. It can be a character ("annual", default) or a numeric vector containing the months.
thres	numeric vector indicating the percentile (from 0 to 1) over which events will be considered for the analysis.
var	Variable to analyze computed from the extreme precipitation events. Possible values are: "magnitude" (total precipitation of the event); "intensity" (mean daily precipitation of the event); "maximum_intensity" (maximum daily value of the event) and "duration" (number of days of the event).
path	Directory where results in pdf will be saved. If NULL, no files will be created.
isEvent	Logical. If TRUE, precipitation events (consecutive rainy days) will be considered instead of single rainy days (FALSE).
method	Method used for fitting variables. At this moment, only "gpd" (Maximum-likelihood Fitting for the GPD Model) is available.
ind_names	Character vector with the names of the indices to consider in the analysis. The names must match with one or more column names in "ind".

Value

A list with resulting parameters is returned. If path is defined, a pdf file is created.

rsnotivoli/nspotPrec documentation built on Dec. 22, 2021, 7:18 p.m.