gdalcubes (version 0.5.1)

apply_time.array: Apply a function over pixel time series in a four-dimensional (band, time, y, x) array

Description

Apply a function over pixel time series in a four-dimensional (band, time, y, x) array

Usage

# S3 method for array
apply_time(x, FUN, ...)

Arguments

x

four-dimensional input array with dimensions band, time, y, x (in this order)

FUN

function that receives a vector of band values in a one-dimensional array

...

further arguments passed to FUN

Details

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.

Examples

# NOT RUN {
d <- c(4,16,32,32)
x <- array(rnorm(prod(d)), d)
z <- apply_time(x, function(v) {
  y = matrix(NA, ncol=ncol(v), nrow=2)
  y[1,] = (v[1,] + v[2,]) / 2
  y[2,] = (v[3,] + v[4,]) / 2
  y
})
dim(z)
# }