spatialGridRmult: Construct a regionalized multivariate data

In gmGeostats: Geostatistics for Compositional Analysis

Construct a regionalized multivariate data

Description

Connect some coordinates to a multivariate data set (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.

Usage

spatialGridRmult(coords, data, dimcomp = 2, dimsim = NA)

Arguments

coords	coordinates of the locations
data	(observed or predicted) rmult or matrix data set; or else array of simulated rmult /real-valued multivariate data
dimcomp	which of the dimensions of data does correspond to the variables?
dimsim	if data contains simulations, which of its dimensions does run across the realisations? leave it as NA if data has observations or predictions.

Value

A (potentially transposed/aperm-ed) matrix of class c("spatialGridAcomp","acomp") with the coordinates in an extra attribute "coords".

See Also

image_cokriged.spatialGridRmult() for an example; gsi.gstatCokriging2rmult() to restructure the output from gstat::predict.gstat() confortably

gmGeostats documentation built on April 18, 2023, 5:08 p.m.