vis.trends: Visualise trends for multiple overlapping periods

In metno/esd: Climate analysis and empirical-statistical downscaling (ESD) package for monthly and daily data

Visualise trends for multiple overlapping periods

Description

Produce a plot showing trends for multiple periods within a time series. The strength of the trend is represented by the color scale and significant trends are marked with black borders.

Usage

## S3 method for class 'trends'
vis(
  x,
  ...,
  unitlabel = NULL,
  varlabel = NULL,
  is = 1,
  pmax = 0.01,
  minlen = 15,
  lwd = NA,
  vmax = NA,
  new = TRUE,
  show.significance = TRUE,
  verbose = FALSE
)

Arguments

x	the 'x' argument provides the time series for which the trend analysis is performed. Only zoo objects are accepted.
unitlabel	unit of x.
varlabel	name of x.
is	spatial index for subsetting station data
pmax	maximum p-value of trends marked as significant.
minlen	minimum time interval to calculate trends for in units of years.
lwd	width of lines
vmax	upper limit of trend scale.
new	if TRUE plot in new window
show.significance	TRUE to mark statistically significant trends.
verbose	TRUE or FALSE.

Author(s)

Kajsa Parding

Examples

t <- seq(as.Date("1955-01-01"),as.Date("2004-12-31"),by=1)
x <- zoo(sample(seq(-30,30,1e-1),length(t),rep=TRUE),order.by=t)
vis.trends(x, show.significance=FALSE, new=FALSE)

data(Oslo)
vis.trends(Oslo, unitlabel="oC", varlabel = "Temperature",
  pmax = 1e-2, minlen = 40, new=FALSE)
vis.trends(subset(Oslo,it='jja'), unitlabel="oC",
  varlabel = "Temperature JJA",
  pmax = 1e-3, vmax=0.5, minlen = 40, new=FALSE)
vis.trends(subset(Oslo,it='mam'), unitlabel="oC",
  varlabel = "Temperature MAM",
  pmax = 1e-3, vmax=0.5, minlen = 40, new=FALSE)

metno/esd documentation built on April 24, 2024, 9:19 p.m.