rdist.earth: Great circle distance matrix
In spectralGP: Approximate Gaussian Processes Using the Fourier Basis

Description Usage Arguments Details Value See Also Examples

Given two sets of longitude/latitude locations computes the Great circle (geogrpahic) distance matrix among all pairings. This function and help file are copied from the fields library.

1	rdist.earth(loc1, loc2, miles = TRUE, R = NULL)

`loc1`	Matrix of first set of lon/lat coordinates first column is the longitudes and second is the latitudes.
`loc2`	Matrix of second set of lon/lat coordinates first column is the longitudes and second is the latitudes. If missing x1 is used.
`miles`	If true distances are in statute miles if false distances in kilometers.
`R`	Radius to use for sphere to find spherical distances. If NULL the radius is either in miles or kilometers depending on the values of the miles argument. If R=1 then distances are of course in radians.

Surprisingly this all done efficiently in S.

The great circle distance matrix if nrow(x1)=m and nrow( x2)=n then the returned matrix will be mXn.

rdist, exp.earth.cov

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 lon.lat=cbind(runif(20,0,360),runif(20,-90,90))
 out<- rdist.earth (lon.lat)
#out is a 20X20 distance matrix

Package spectralGP (1.3.3) is loaded.
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 WARNING: spectralGP uses objects in the form of environments,
 thereby passing by reference.  Various method functions make
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 changing the object in the calling environment, and
 returning NULL.
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Attaching package: 'spectralGP'

The following object is masked from 'package:stats':

    simulate