[R-sig-Geo] Spatial autocorrelation on a sphere

[Edzer Pebesma]

Assuming this is currently not possible, I would try modify nlme::dist
to accept a spherical distance measure option, and have it call
sp::spDists; corSpher has a metric parameter.

On 05/15/2012 09:55 PM, Dan Bebber wrote:
> In the case where data are sampled on a sphere (e.g. the Earth) and the spatial locations are denoted by latitude and longitude, is there a way of generating a spatial autocorrelation structure that can derive Euclidean distances from these coordinates?
> 
> I imagine that corSpher(form = ~ latitude + longitude, nugget = TRUE) would work over short distances, but would deteriorate as distance increased.
> 
> One potential solution might be to derive distances from the spDistsN1 function in package sp, or the rdist.earth function in package fields, or the distm(x, y, fun=distHaversine) in package geosphere, and somehow to supply these to corSpher.
> 
> Very grateful for any suggestions or comments.
> 
> Dan Bebber
> 
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-- 
Edzer Pebesma
Institute for Geoinformatics (ifgi), University of Münster
Weseler Straße 253, 48151 Münster, Germany. Phone: +49 251
8333081, Fax: +49 251 8339763  http://ifgi.uni-muenster.de
http://www.52north.org/geostatistics      e.pebesma at wwu.de