peguy: Peguy Climograph

In ClimClass: Climate Classification According to Several Indices

Description

Representation of Peguy Climograph from monthly weather data (Mean Temperature, Precipitation)

Usage

peguy(data = NULL, TemperatureTriangleCoords = c(0, 23.4, 15),
  PrecipitationTriangleCoords = c(0, 40, 200), ylab = "Precipitation[mm]",
  xlab = "Mean Temperature [degC]", lambda.label = 1.75,
  climate.label = c("Temperate", "Cool", "Arid", "Hot"), xyField = c("Tn",
  "P"), pointsField = "month", StationsField = "station",
  color.scale = "monthly", ...)

Arguments

data	input dataset with climatological monthly weather data
TemperatureTriangleCoords	Temperature coordinates for triangle vertices in the Peguy Climograph. Default coordinates are expressed in Celsius Degrees.
PrecipitationTriangleCoords	Precipitation coordinates for triangle vertices in the Peguy Climograph. Default coordinates are expressed in millimeters.
xlab, ylab	xy axis labels
lambda.label	numeric value used to locate climate attribute labels
climate.label	string vector containing climate attributes. Default is c("Temperate", "Cold", "Arid", "Hot"). Alternatively it can be translated into any other languange.
xyField	column names of data for the x and y variables used in the Peguy Climate Diagram.
pointsField	column name of data containing the fields to be represented with different point colors. Default is "month".
StationsField	column name of data containing the fields with station ID names. Default is "station".
color.scale	character scale indicating a use of a specific color scale. Default is "monthly".
...	further arguments

Author(s)

Emanuele Cordano

References

Peguy, C.P. (1970) Precis de climatologie, ed. Masson, Paris.

Examples

library(stringr)
data(Trent_climate)


TrentinoClimateDf <- do.call(rbind,clima_81_10)
names <- rownames(TrentinoClimateDf)
TrentinoClimateDf$station <- unlist(lapply(X=str_split(names,pattern="[.]"),FUN=function(x) {x[1]}))
 


data <- TrentinoClimateDf[TrentinoClimateDf$station %in% unique(TrentinoClimateDf$station)[1:3],]
p <- peguy(data=data)

ClimClass documentation built on May 2, 2019, 2:20 p.m.