[R-sig-Geo] auto-correlation of nominal variables (Rich Shepard)

[Emanuele Barca]

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-request using r-project.org ha scritto:
> Send R-sig-Geo mailing list submissions to
> 	r-sig-geo using r-project.org
> 
> To subscribe or unsubscribe via the World Wide Web, visit
> 	https://stat.ethz.ch/mailman/listinfo/r-sig-geo
> or, via email, send a message with subject or body 'help' to
> 	r-sig-geo-request using r-project.org
> 
> You can reach the person managing the list at
> 	r-sig-geo-owner using r-project.org
> 
> When replying, please edit your Subject line so it is more specific
> than "Re: Contents of R-sig-Geo digest..."
> 
> 
> Today's Topics:
> 
>    1. GAM parameters: Biomod 2 (Lara Silva)
>    2. Re: auto-correlation of nominal variables (Rich Shepard)
> 
> ----------------------------------------------------------------------
> 
> Message: 1
> Date: Tue, 18 Jun 2019 13:46:08 +0000
> From: Lara Silva <lara.sfp.silva using gmail.com>
> To: r-sig-ecology using r-project.org, r-sig-geo using r-project.org
> Subject: [R-sig-Geo] GAM parameters: Biomod 2
> Message-ID:
> 	<CALN9TESvDGWfNcd=p0Emt4Ri_WEhOXbQhidpRJ1N=eU74V+zzA using mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
> 
> 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
> 
> 
> 
> 
> 
> 
> <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail>
> Sem
> vírus. www.avast.com
> <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail>
> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>
> 
> 	[[alternative HTML version deleted]]
> 
> 
> 
> 
> ------------------------------
> 
> Message: 2
> Date: Tue, 18 Jun 2019 07:51:09 -0700 (PDT)
> From: Rich Shepard <rshepard using appl-ecosys.com>
> To: r-sig-geo using r-project.org
> Subject: Re: [R-sig-Geo] auto-correlation of nominal variables
> Message-ID:
> 	<alpine.LNX.2.20.1906180742260.15745 using salmo.appl-ecosys.com>
> Content-Type: text/plain; charset="us-ascii"; Format="flowed"
> 
> 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
> 
> 
> 
> 
> ------------------------------
> 
> Subject: Digest Footer
> 
> _______________________________________________
> R-sig-Geo mailing list
> R-sig-Geo using r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-geo
> 
> 
> ------------------------------
> 
> End of R-sig-Geo Digest, Vol 190, Issue 13
> ******************************************