CST_PeriodMean {CSIndicators}

R Documentation

Period Mean on 's2dv_cube' objects

Description

Period Mean computes the average (mean) of a given variable in a period. Providing temperature data, two agriculture indices can be obtained by using this function:

• GSTGrowing Season average Temperature: The average temperature from April 1st to Octobe 31st

• SprTXSpring Average Maximum Temperature: The average daily maximum temperature from April 1st to May 31st

Usage

CST_PeriodMean(
  data,
  start = NULL,
  end = NULL,
  time_dim = "ftime",
  na.rm = FALSE,
  ncores = NULL
)

Arguments

data	An 's2dv_cube' object as provided function CST_Load in package CSTools.
start	An optional parameter to defined the initial date of the period to select from the data by providing a list of two elements: the initial date of the period and the initial month of the period. By default it is set to NULL and the indicator is computed using all the data provided in data.
end	An optional parameter to defined the final date of the period to select from the data by providing a list of two elements: the final day of the period and the final month of the period. By default it is set to NULL and the indicator is computed using all the data provided in data.
time_dim	A character string indicating the name of the dimension to compute the indicator. By default, it is set to 'ftime'. More than one dimension name matching the dimensions provided in the object data$data can be specified.
na.rm	A logical value indicating whether to ignore NA values (TRUE) or not (FALSE).
ncores	An integer indicating the number of cores to use in parallel computation.

Value

An 's2dv_cube' object containing the indicator in the element data.

Examples

exp <- NULL
exp$data <- array(rnorm(45), dim = c(member = 7, ftime = 8))
class(exp) <- 's2dv_cube'
exp$attrs$Dates <- c(seq(as.Date("01-07-1993", "%d-%m-%Y", tz = 'UTC'),
                        as.Date("01-08-1993","%d-%m-%Y", tz = 'UTC'), "day"),
                    seq(as.Date("01-07-1994", "%d-%m-%Y", tz = 'UTC'),
                        as.Date("01-08-1994","%d-%m-%Y", tz = 'UTC'), "day"))
SA <- CST_PeriodMean(exp)

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