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Spatial Autocorrelation - using co-ordinates as smooth factors in GAM's plus Spatial correlograms + Moran's I

4 messages · Chris Mcowen, Ben Bolker, William Fields +1 more

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Dear List,

I apologise if this is not the correct place to ask this, however as ecologists' s i guess a high proportion of you would of had to deal with spatial autocorrelation.

First,

I have seen a method that used a GAM and included the coordinates of the grid cells ( sample locations, in my case this will be long&lat) as a smooth factor to account for spatial autocorrelation.

I was wondering if anybody here had done this as i can not find a example, and am unsure how to structure the GAM.

Second,

Another spatial question -
Once again, has anyone done anything like this?

Thanks,

Chris
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On 01/27/2011 11:32 AM, Chris Mcowen wrote:
Locate a copy of Simon Wood's excellent book.  Some good examples there.
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Dear Chris,

to me, it is never a questions whether spatial correlation is present
(it is), but whether it is strong enough to address it. I never
understood why people would test for spatial autocorrelation, as
non-significant autocorrelation will only indicate that the sample size
is small. Of course, this is with my geostatistical glasses on, through
which I look at the world.

Including coordinates in a GAM may carry the risk that the solution is
not rotation invariant: directions of x and y are usually arbitrary
(unless on global scale), and would you be happy if the two 45 degrees
coordinates (x+y) and (x-y) would result in a different model? It seems
two-dimensional smoothing splines in x and y work well, in that respect;
I believe gam in package mgcv has these. This would filter out the
low-frequency, smooth trends; variogram modelling and kriging of
residuals may be better at picking up more local deviations.

When lost in the kriging woods, there's always r-sig-geo.

Bests,
--
Edzer
On 01/27/2011 05:32 PM, Chris Mcowen wrote: