Thank you Rich for your suggestion, is indeed intersting!
Actually, my interest is in finding a clustering tendency of
crop-classes.
Therefore, joincount.multi of spdep library is perfect for my aims.
I would like to find a function for representing graphically such
tendency.
thanks once more.
emanuele
Il 2019-06-19 12:00 r-sig-geo-requ...@r-project.org ha scritto:
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Today's Topics:
1. GAM parameters: Biomod 2 (Lara Silva)
2. Re: auto-correlation of nominal variables (Rich Shepard)
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Message: 1
Date: Tue, 18 Jun 2019 13:46:08 +0000
From: Lara Silva <lara.sfp.si...@gmail.com>
To: r-sig-ecol...@r-project.org, r-sig-geo@r-project.org
Subject: [R-sig-Geo] GAM parameters: Biomod 2
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<CALN9TESvDGWfNcd=p0Emt4Ri_WEhOXbQhidpRJ1N=eu74v+...@mail.gmail.com>
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Hello,
I am using Biomod 2 to modelling species distribution. I ran some
algorithms like GAM, GLM, RF and CTA.
I did not change the parameters. How can I known the quadratic terms of
GAM?
I used the variables with form linear (e.g. precipitation, altimetry,
temperature) I did not use temperature ^2.
Any suggestions?
Regards,
Lara
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Message: 2
Date: Tue, 18 Jun 2019 07:51:09 -0700 (PDT)
From: Rich Shepard <rshep...@appl-ecosys.com>
To: r-sig-geo@r-project.org
Subject: Re: [R-sig-Geo] auto-correlation of nominal variables
Message-ID:
<alpine.lnx.2.20.1906180742260.15...@salmo.appl-ecosys.com>
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On Sun, 16 Jun 2019, Emanuele Barca wrote:
I received a dataset of point data, organized in the following way: a
couple of coordinates and a column of "crop classes codes", three
columns.
I would like to compute something similar to the Moran index for each
crop
class code.
Emanuele,
What is your interest in these data? Are you interested in the pattern
of
crop classes (such as in epidemiology or designing a timber sale) or
something else?
If it is the pattern that is of interest I suggest you first test for
complete spatial randomness. Look at some of the references and R
packages
for spatial point processes. The distribution of crop classes could be
random, regular, or clumped/clustered.
Peter Diggle's book, "Statistical Analysis of Spatial Point Patterns,"
and
"Spatial Point Patterns" by Adrian Baddeley, Ege Rubak, and Rolf Turner
would be excellent places to start.
Hope this helps,
Rich
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