Connect some coordinates to a composition (of hard data, of predictions or of simulations); currently, the coordinates are stored in an attribute and the dataset is given a complex S3 class. This functionality will change in the future, to make use of package "sp" classes.
spatialGridAcomp(coords, compo, dimcomp = 2, dimsim = NA)
A (potentially transposed/aperm-ed) matrix of class c("spatialGridAcomp","acomp") with the coordinates in an extra attribute "coords".
coordinates of the locations
(observed or predicted) compositional data set; or else array of simulated compositions
which of the dimensions of compo
does correspond to the
parts of the compositon?
if compo
contains simulations, which of its dimensions does
run across the realisations? leave it as NA if compo
has observations or predictions.
image_cokriged.spatialGridAcomp()
for an example; gsi.gstatCokriging2compo()
to
restructure the output from gstat::predict.gstat()
confortably