I'm having the same trouble, but according to this post:
http://groups.google.com/group/Maxent/browse_thread/thread/3dcc7eabbf29f5b2/a7058c193eef606f?lnk=gst&q=clamping#a7058c193eef606f
Steven Phillips agrees that subtracting clampings values from your
projected logistic values is an adequate way of dealing with this
issue, rather than a threshold approach.
Cheers
On Feb 6, 2:29 am, wilbersa <
wilbe...@daad-alumni.de> wrote:
> Nora,
> Thanks for your detailed answer, and also the link. It seems to be
> very useful for people combining both softwares. However, I still have
> some questions (and this goes for everybody). Now, according to the
> text in the link (see above), theclampinglayer gives us info about
> those cells with no precedent climatic conditions (when comparing the
> current climatic conditions and the projected). However, I can see it
> ( theclampinglayer) has values from 0 to 1(like the other layers).
> Which is the threshold to identify those critic cells with different
> climatic conditions?. Also, I used the Maximum training sensitivity
> plus specificity logistic threshold, and realized that some cells with
> values near to 1 in theclampinglayer, were included in the projected
> distribution of the species.
> Cheers,
> Ro
>
> On Feb 4, 2:10 pm, Nora Castañeda <
la.guane...@gmail.com> wrote:
>
>
>
> > Hi Ro:
>
> > I've being working with this definition ofclamping:
>
> >Clamping. What is it? One problem with projecting onto a past of
> > future climate landscape is that there are climate conditions in the
> > past and future that have no analogs today. For example, some regions
> > may be colder and wetter than any existing spot on today’s
> > landscape. These conditions are outside the range represented in
> > the training data. Projections onto such conditions are suspect, and
> > for many applications, you'll want to cookie-cutter them out.
> >Clamping“does that” for you, by determining which areas in the
> > climate landscape are outside the range represented by the training
> > data, and showing that to you visually. Also, the maxent3.0 algorithm
> > will downweight those areas in the final “suitability” prediction so
> > they are less likely to be labeled “suitable”.
>
> > You can find it inhttp://
macrobiodiv.googlepages.com/Lab4MacroEcoBiol.htm
>
> > Hope it will be useful for you,
>
> > Nora- Hide quoted text -
>
> - Show quoted text -