Plotting storm track data

This plotStorms() function allows plotting storm track data stored in a StormsList object.

Usage

plotStorms(
  sts,
  names = NULL,
  category = NULL,
  xlim = NULL,
  ylim = NULL,
  labels = FALSE,
  by = 8,
  pos = 3,
  legends = "topright",
  loi = TRUE,
  dynamicPlot = FALSE
)

Arguments

sts

StormsList object

names

character vector. Name(s) of the storm(s) in capital letters. If names = NULL (default setting), all storms are plotted.

category

numeric vector. Category of storms to be plotted among the level in the windscale provided in sts input. If category=NULL (default setting), all storms are plotted.

xlim

numeric vector. The x limits of the plot.

ylim

numeric vector. The y limits of the plot.

labels

logical. Whether (TRUE) or not (FALSE, default setting) to add labels with the name of the storm and the indices and ISO times of the observation.

by

numeric. If labels=TRUE, defines the frequency at which labels are plotted. Default value is set to 8 which corresponds to a 24h (or 48h) time interval between the labelled observations when observations are made every 3 (or 6) hours.

pos

numeric. If labels=TRUE, defines the position of the labels, 1 (above the observation), 2 (on the left), 3 (below, default setting), and 4 (on the right).

legends

character. Indicates where to plot the legend, "topright"(default setting), "topleft", "bottomleft", "bottomright", or "none" (legend not plotted).

loi

logical. Whether (TRUE, default setting) or not (FALSE) to plot the extent of the buffered location of interest on the map.

dynamicPlot

logical. Whether (FALSE, default setting) or (TRUE) to plot the data dynamicaly using leaflet library

Value

A plot of the storm track data.

Examples

#' #Creating a stormsDataset
# \donttest{
dev.off()
#> null device 
#>           1 
sds <- defStormsDataset()
#> Warning: No basin argument specified. StormR will work as expected
#>              but cannot use basin filtering for speed-up when collecting data
#> === Loading data  ===
#> Open database... /home/runner/work/_temp/Library/StormR/extdata/test_dataset.nc opened
#> Collecting data ...
#> === DONE ===

# Getting storm track data for tropical cyclone Pam (2015)
pam <- defStormsList(sds = sds, loi = "Vanuatu", names = "PAM")
#> === Storms processing ... ===
#> 
#> -> Making buffer: Done
#> -> Searching for PAM storm ...
#>    -> Identifying Storms: Done
#> -> Gathering storm(s) ... 
#> 
#> === DONE with run time 0.4760573 sec ===
#> 
#> SUMMARY:
#> (*) LOI: Vanuatu 
#> (*) Buffer size: 300 km
#> (*) Number of storms: 1 
#>         Name - Tropical season - Scale - Number of observation within buffer:
#>         PAM - 2015 - 6 - 20 
#> 

# Plotting Pam over Vanuatu with labels every 24h
plotStorms(sts =pam, labels = TRUE)

# Plotting Pam over Vanuatu with labels every 6h on the right side of the observations
plotStorms(pam, labels = TRUE, by = 2, pos = 4)

# dynamicPlot mode

# }