R: Converts an Object to the Class "geodata"

as.geodata {geoR}

R Documentation

Converts an Object to the Class "geodata"

Description

Converts a matrix or a data-frame to an object of the class "geodata". Objects of the class "geodata" are lists with two obligatory components, coords and data. Optional components are allowed and a typical example is a vector or matrix with values of the covariate(s).

Usage

as.geodata(obj, coords.col = 1:2, data.col = 3, data.names = NULL, 
           covar.col = NULL, covar.names = "obj.names")

Arguments

`obj`	a matrix or data-frame. Each line corresponds to one spatial location. It should contain values of coordinates, data and, optionally, covariates at the locations.
`coords.col`	a vector with the column numbers corresponding to the spatial coordinates.
`data.col`	a scalar or vector with column number(s) corresponding to the data.
`data.names`	a string or vector of strings with names for the data columns. Only valid if there is more than one column of data. By default, the names in the original object are used.
`covar.col`	optional. A scalar or vector of the column number(s) corresponding to the covariate(s).
`covar.names`	a string or vector of strings with the name(s) of the covariates. By default, the names in the original object are used.

Details

Objects of the class "geodata" contain data for geostatistical analysis using the package geoR. Storing data in this format facilitates the usage of the functions in geoR. However, conversion of objects to this class is not obligatory to carry out the analysis.

Value

An object of the class "geodata" which is a list with two obligatory and one optional component:

`coords`	an n times 2 matrix where n is the number of spatial locations.
`data`	a vector of length n, for the univariate case or, an n times v matrix or data-frame for the multivariate case, where v is the number of variables.
`covariate`	a vector of length n or an n times p matrix with covariate(s) values, where p is the number of covariates.

Author(s)

Paulo Justiniano Ribeiro Jr. Paulo.Ribeiro@est.ufpr.br,
Peter J. Diggle p.diggle@lancaster.ac.uk.

References

Further information about geoR can be found at:
http://www.maths.lancs.ac.uk/~ribeiro/geoR.html.