fill_initialgap_MOD13Q1: Fill gaps of first three dates of MOD13Q1

In sephora: Statistical Estimation of Phenological Parameters

Fill gaps of first three dates of MOD13Q1

Description

Since MOD13Q1 was released on 18-02-2000 and its temporal resolution is 16 days, there are no measurements available for the first three acquisition dates of 2000. This function allows to fill these three dates using historic data.

Usage

fill_initialgap_MOD13Q1(m, fun = stats::median)

Arguments

m	matrix with nrow equal to the number of periods (seasons or years) studied, and ncol equal to the number of observations per period.
fun	a function employed to impute missing values. Default, stats::median.

Details

The missing values of m are m[1,1], m[1,2] and m[1,3]. For instance, to fill m[1,1] the values of m[2:nrow(m),1] are used, and consequently, it is expected that the larger the numeric vector, the smaller the variability of the imputed value for m[1,1].

Value

A numeric vector of length 3

Note

It is recommended to use vecToMatrix to transfer the values of a numeric vector of MOD13Q1 measurements into a matrix.

See Also

vecToMatrix, vecFromData

Examples

data("deciduous_polygon")
str(deciduous_polygon, vec.len = 1)
x <- deciduous_polygon[1,] # check x[1:3]
x_asMatrix <- vecToMatrix(x, lenPeriod = 23) # check str(x_asMatrix)
x_asMat_complete <- fill_initialgap_MOD13Q1(m=x_asMatrix)

#filled first three values of x
x[1:3] <- x_asMat_complete

sephora documentation built on May 29, 2024, 4:57 a.m.