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36 lines
1.1 KiB
R
36 lines
1.1 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/streaming.R
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\name{apply_time.array}
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\alias{apply_time.array}
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\title{Apply a function over pixel time series in a four-dimensional (band, time, y, x) array}
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\usage{
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\method{apply_time}{array}(x, FUN, ...)
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}
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\arguments{
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\item{x}{four-dimensional input array with dimensions band, time, y, x (in this order)}
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\item{FUN}{function that receives a vector of band values in a one-dimensional array}
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\item{...}{further arguments passed to FUN}
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}
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\description{
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Apply a function over pixel time series in a four-dimensional (band, time, y, x) array
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}
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\details{
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FUN is expected to produce a matrix (or vector if result has only one band) where rows are interpreted as new bands and columns represent time.
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}
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\note{
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This is a helper function that uses the same dimension ordering as gdalcubes. It can be used to simplify
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the application of R functions e.g. over time series in a data cube.
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}
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\examples{
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d <- c(4,16,32,32)
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x <- array(rnorm(prod(d)), d)
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z <- apply_time(x, function(v) {
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y = matrix(NA, ncol=ncol(v), nrow=2)
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y[1,] = (v[1,] + v[2,]) / 2
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y[2,] = (v[3,] + v[4,]) / 2
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y
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})
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dim(z)
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}
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