Marshall Feldman
2006-Dec-07 16:40 UTC
[R] FW: test of spatial dependence?? - ask a geographer (was ask an ecologist)?
No, you do not necessarily need the XY coordinates. You can also use polygon (field, in your case) adjacency information. See Rogerson, Peter A. 2001. _Statistical methods for geography_. Thousand Oaks: Sage. You might also look at GeoDA, a free and soon-to-be open source spatial analysis package. For your application, it might be easier to use than R. Go to https://www.geoda.uiuc.edu/. Marshall Feldman Center for Urban Studies and Research The University of Rhode Island -----Original Message----- From: Milton Cezar Ribeiro [mailto:milton_ruser at yahoo.com.br] Sent: Wednesday, December 06, 2006 8:26 AM To: David Farrar; Xu Yuan; r-help at stat.math.ethz.ch Subject: Re: [R] test of spatial dependence?? - ask an ecologist? I never used it, but I beleave that it is a job for "mantel.rtest()" available on "ade4" package. In fact Farrar are right, you will neet the XY coordinates. Give a look at "Legendre & Legendre" text book. HTH, Miltinho Brazil David Farrar <dfarrar at newrvana.com> escreveu: In addition to the 25 numbers, I assume you have coordinates of each field. Otherwise, I don't understand what you are trying to do. I think ecologists like to use a test due to Mantel in this situation. The prefix "auto" means "self," of course, the idea being that measurements of the same variable under different conditions are correlated. I guess this would be a case of "autodependence." For correlation versus dependence, check your intro stats book. de nada, X'X Farrar Xu Yuan wrote: hello R-friends, I am a R beginner and try to ask a basic question: How to test the spatial dependence of a column of data? for example, I have 25 agricultural fields, and I measure the average slope (%) or pH for each field. All I have is 25 numbers. PS, could someone confirm that "spatial dependence" is equivalent to "spatial correlation" or "spatial autocorrelation" or not. Thank you very much. XY [[alternative HTML version deleted]] ______________________________________________ R-help at stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] ______________________________________________ R-help at stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. --------------------------------- [[alternative HTML version deleted]] Dr. Marshall Feldman, PhD Director of Research and Academic Affairs Center for Urban Studies and Research The University of Rhode Island email: marsh @ uri.edu (remove spaces) telephone: (401) 277-5218 (Providence); (401) 874-5953 (Kingston) fax: (401) 277-5464 (Providence); (401) 874-5511 (Kingston) Providence address: 206E Shepard Building 80 Washington Street Providence, RI 02903-1819 Kingston address: 310 Lippitt Hall Kingston, RI 02881-0815
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