Message-ID: <CAE7C96HSTAbJ6e2T6WF5WFeMymJZFKczsXPvO6=8XjUKRig7Yg@mail.gmail.com>
Date: 2021-02-02T03:02:25Z
From: Diego Guevara
Subject: Spatial autocorrelation in Maxent models
In-Reply-To: <e3857099-94af-8633-c2f6-be9b24e9ec2d@gmail.com>
Hi ?kos
Thank you for your response. Do you mean that I should calculate Moran on
the observations' predictions?
Cheers
Diego
On Sat, Jan 16, 2021, 7:24 PM Bede-Fazekas ?kos <bfalevlist at gmail.com>
wrote:
> Dear Diego,
>
> Yes, you calculated the spatial autocorrelation of the predicted values
> in this way, which is not too informative and intresting.
> Autocorrelation of the residuals is what you need.
> If you subtract the predictions from the observations (using the simple
> raster algebra or raster::calc()), you can calculate Moran's I (or any
> other spatial autocorrelation measure) of the residuals.
>
> HTH,
> ?kos Bede-Fazekas
>
> 2021.01.15. 12:21 keltez?ssel, Diego Guevara ?rta:
> > Hello everyone
> >
> > I am trying to find a way to test for spatial autocorrelation in Maxent
> > models. From my understanding, this should be tested on the residuals of
> > the model. So far I have only been able to test for Moran I test on the
> > prediction resulting raster using the package ELSA. However, I think I am
> > just testing Moran on the prediction values this way. Would that be
> enough
> > or ok? I will appreciate if someone can give me some insight.
> >
> > Best wishes
> > Diego
> >
> > [[alternative HTML version deleted]]
> >
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