remote (version 1.2.3)

plot: Plot an Eot* object

Description

This is the standard plotting routine for the results of eot(). Three panels will be drawn i) the predictor domain, ii) the response domain, iii) the time series at the identified base point

Usage

# S4 method for EotMode,ANY
plot(
  x,
  y,
  pred.prm = "rsq",
  resp.prm = "r",
  show.bp = FALSE,
  anomalies = TRUE,
  add.map = TRUE,
  ts.vec = NULL,
  arrange = c("wide", "long"),
  clr = NULL,
  locations = FALSE,
  ...
)
# S4 method for EotStack,ANY
plot(
  x,
  y,
  pred.prm = "rsq",
  resp.prm = "r",
  show.bp = FALSE,
  anomalies = TRUE,
  add.map = TRUE,
  ts.vec = NULL,
  arrange = c("wide", "long"),
  clr = NULL,
  locations = FALSE,
  ...
)

Arguments

x

either an object of EotMode or EotStack as returned by eot()

y

integer or character of the mode to be plotted (e.g. 2 or "mode_2")

pred.prm

the parameter of the predictor to be plotted.
Can be any of "r", "rsq", "rsq.sums", "p", "int" or "slp"

resp.prm

the parameter of the response to be plotted.
Can be any of "r", "rsq", "rsq.sums", "p", "int" or "slp"

show.bp

logical. If TRUE a grey circle will be drawn in the predictor image to indicate the location of the base point

anomalies

logical. If TRUE a reference line will be drawn a 0 in the EOT time series

add.map

logical. If TRUE country outlines will be added to the predictor and response images

ts.vec

an (optional) time series vector of the considered EOT calculation to be shown as the x-axis in the time series plot

arrange

whether the final plot should be arranged in "wide" or "long" format

clr

an (optional) color palette for displaying of the predictor and response fields

locations

logical. If x is an EotStack, set this to TRUE to produce a map showing the locations of all modes. Ignored if x is an EotMode

...

further arguments to be passed to raster::spplot()

Methods (by class)

• plot(x = EotStack, y = ANY): EotStack

Examples

data(vdendool)

## claculate 2 leading modes
nh_modes <- eot(x = vdendool, y = NULL, n = 2, 
                standardised = FALSE, 
                verbose = TRUE)

## default settings 
plot(nh_modes, y = 1) # is equivalent to

if (FALSE) {
plot(nh_modes[[1]]) 

plot(nh_modes, y = 2) # shows variance explained by mode 2 only
plot(nh_modes[[2]]) # shows cumulative variance explained by modes 1 & 2

## showing the loction of the mode
plot(nh_modes, y = 1, show.bp = TRUE)

## changing parameters
plot(nh_modes, y = 1, show.bp = TRUE,
     pred.prm = "r", resp.prm = "p")
        
## change plot arrangement
plot(nh_modes, y = 1, show.bp = TRUE, arrange = "long") 

## plot locations of all base points
plot(nh_modes, locations = TRUE)
}