PeriodAccumulation {CSIndicators}

R Documentation

Period Accumulation on multidimensional array objects

Description

Period Accumulation computes the sum (accumulation) of a given variable in a period. Providing precipitation data, two agriculture indices can be obtained by using this function:

• SprRSpring Total Precipitation: The total precipitation from April 21th to June 21st

• HarRHarvest Total Precipitation: The total precipitation from August 21st to October 21st

Usage

PeriodAccumulation(
  data,
  dates = NULL,
  start = NULL,
  end = NULL,
  time_dim = "time",
  na.rm = FALSE,
  ncores = NULL
)

Arguments

data	A multidimensional array with named dimensions.
dates	A vector of dates or a multidimensional array of dates with named dimensions matching the dimensions on parameter 'data'. By default it is NULL, to select a period this parameter must be provided.
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 'time'. 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

A multidimensional array with named dimensions containing the indicator in the element data.

Examples

exp <- array(rnorm(216)*200, dim = c(dataset = 1, member = 2, sdate = 3, 
            ftime = 9, lat = 2, lon = 2))
TP <- PeriodAccumulation(exp, time_dim = 'ftime')
data <- array(rnorm(5 * 3 * 214 * 2),
             c(memb = 5, sdate = 3, time = 214, lon = 2)) 
# ftime tested
Dates <- c(seq(as.Date("01-05-2000", format = "%d-%m-%Y"), 
              as.Date("30-11-2000", format = "%d-%m-%Y"), by = 'day'),
          seq(as.Date("01-05-2001", format = "%d-%m-%Y"), 
              as.Date("30-11-2001", format = "%d-%m-%Y"), by = 'day'),
          seq(as.Date("01-05-2002", format = "%d-%m-%Y"), 
              as.Date("30-11-2002", format = "%d-%m-%Y"), by = 'day'))
SprR <- PeriodAccumulation(data, dates = Dates, start = list(21, 4), end = list(21, 6))
HarR <- PeriodAccumulation(data, dates = Dates, start = list(21, 8), end = list(21, 10))

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