mapq: Mapping univariate and multivariate NSPOT results

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

Description

This function creates maps of univariate and multivariate differences between q100 positive and negative values of the indices, based on results from a call to the nspot() function.

Usage

mapq(
  sts,
  ind_names,
  res,
  path,
  brks = c(1.25, 2, 3, 4),
  brks_time = c(1.1, 1.2, 1.3, 1.5),
  country = NULL
)

Arguments

sts	A matrix or data frame containing (all) the stations information. Must have, at least: ID, NAME, LON, LAT.
ind_names	names of the indices.
res	results object (list) from a call to the nspot() function.
path	Directory where the results in pdf format will be saved.
brks	Vector (numeric). Breaks in which indices values (not time) will be categorized for representation purposes.
brks_time	Vector (numeric). Breaks in which the temporal index values (temporal trends) will be categorized for representation purposes.
country	uses administrative boundaries of provinces (or equivalent) of a specific country. If NULL, only country boundaries are shown.

Value

collection of PDF files representing the univariate and multivariate trends, by indices.

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