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:
'GST', Growing Season average Temperature: The average temperature from April 1st to Octobe 31st.
'SprTX', Spring Average Maximum Temperature: The average daily maximum temperature from April 1st to May 31st.
Usage
CST_PeriodMean(
data,
start = NULL,
end = NULL,
time_dim = "time",
na.rm = FALSE,
ncores = NULL
)
Arguments
data |
An 's2dv_cube' object as provided function |
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
|
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 |
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
|
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
with dimensions of the input parameter 'data' except the
dimension where the mean has been computed (specified with 'time_dim'). The
'Dates' array is updated to the dates corresponding to the beginning of the
aggregated time period. A new element called 'time_bounds' will be added into
the 'attrs' element in the 's2dv_cube' object. It consists of a list
containing two elements, the start and end dates of the aggregated period with
the same dimensions of 'Dates' element.
Examples
exp <- NULL
exp$data <- array(rnorm(45), dim = c(member = 7, sdate = 4, time = 3))
Dates <- c(seq(as.Date("2000-11-01", "%Y-%m-%d", tz = "UTC"),
as.Date("2001-01-01", "%Y-%m-%d", tz = "UTC"), by = "month"),
seq(as.Date("2001-11-01", "%Y-%m-%d", tz = "UTC"),
as.Date("2002-01-01", "%Y-%m-%d", tz = "UTC"), by = "month"),
seq(as.Date("2002-11-01", "%Y-%m-%d", tz = "UTC"),
as.Date("2003-01-01", "%Y-%m-%d", tz = "UTC"), by = "month"),
seq(as.Date("2003-11-01", "%Y-%m-%d", tz = "UTC"),
as.Date("2004-01-01", "%Y-%m-%d", tz = "UTC"), by = "month"))
dim(Dates) <- c(sdate = 4, time = 3)
exp$attrs$Dates <- Dates
class(exp) <- 's2dv_cube'
SA <- CST_PeriodMean(exp, start = list(01, 12), end = list(01, 01))