Hi, I try to make an analyses to discover what is the time that an area begin to have spacial autocorrelation. And after, what is the number of individuals responsible for this autocorrelation.
The main idea is to discover if exist a contamination of a quadrat from others quadrats and how is the population needed to make this contamination. This is very common to use automata to simulate this situation. But I try to make a more statistical approach. I'm studing about, but I dont know the tool for testing examples. I make an example just for tests: Geodata <- data.frame(X=rep(rep(c(1:10), (rep(10,10))),5),Y=rep(c(1:10),50),Abund=c(1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 3, 0, 0, 2, 0, 0, 1, 2, 0, 0, 2, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 3, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 2, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 5, 0, 2, 0, 0, 0, 0, 3, 0, 0, 2, 0, 0, 0, 0, 1, 0, 0, 0, 2, 3, 0, 0, 3, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 2, 0, 0, 4, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 2, 10, 0, 0, 3, 0, 0, 0, 0, 3, 3, 4, 2, 0, 0, 0, 1, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 3, 0, 3, 0, 0, 0, 0, 4, 0, 2, 1, 0, 0, 3, 0, 0, 0, 2, 0, 1, 4, 0, 0, 4, 0, 0, 4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 3, 0, 0, 5, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 4, 10, 15, 0, 0, 4, 0, 0, 0, 0, 8, 11, 9, 0, 0, 0, 0, 0, 0, 0, 1, 5, 3, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 4, 0, 4, 0, 0, 0, 0, 5, 0, 0, 2, 0, 0, 0, 0, 2, 0, 0, 1, 0, 5, 0, 0, 5, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 6, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 10, 15, 20, 0, 0, 0, 0, 0, 0, 4, 13, 16, 13, 0, 0, 0, 0, 0, 0, 5, 8, 8, 10, 0, 0, 0, 0, 0, 0, 1, 2, 3, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0),Time=rep(c(1:5),rep(100,5))) X and Y are coordinates, Abund is the number of individuals and Time is the date of observation. In this example the population grows from an vertice, and after 10 individuals it contaminates your neighbors. I need ideas about the best approach and R's tools for this problem. I'm studing this question in these books: W.N. Venables, B.D. Ripley. 2003. Modern Applied Statistics with S. Springer; 4 edition (September 2, 2003). 512 pages. Crawley, M. J. 2002. Statistical Computing: An Introduction to Data Analysis using S-Plus. John Wiley & Sons; 1st edition (May 15, 2002). 772 pages. Diggle, Peter J. 2003. Statistical Analysis of Spatial Point Patterns (2nd ed.), Arnold, London. Ripley, B.D. Spatial Statistics Spatial Ecology Thanks for all -- I haven't been married in over six years, but we had sexual counseling every day from Oral Roberts!! -- |> // | \\ [***********************************] | ( õ õ ) [Prof. Ronaldo Reis Júnior ] |> V [UNIMONTES/Depto. Biologia Geral ] | / \ [36570-000 Viçosa - MG ] |> /(.''`.)\ [Fone: 31-3899-4007 ] | /(: :' :)\ [EMAIL PROTECTED] ] |>/ (`. `'` ) \[ICQ#: 5692561 | LinuxUser#: 205366 ] | ( `- ) [***********************************] |>> _/ \_Powered by GNU/Debian Testing -- Se pelo menos pudessemos viver duas vezes: a primeira vez, para cometer todos os inevitaveis erros; a segunda para lucrar com eles. -- D. H. Lawrence -- |> // | \\ [***********************************] | ( õ õ ) [Prof. Ronaldo Reis Júnior ] |> V [UNIMONTES/Depto. Biologia Geral ] | / \ [36570-000 Viçosa - MG ] |> /(.''`.)\ [Fone: 31-3899-4007 ] | /(: :' :)\ [EMAIL PROTECTED] ] |>/ (`. `'` ) \[ICQ#: 5692561 | LinuxUser#: 205366 ] | ( `- ) [***********************************] |>> _/ \_Powered by GNU/Debian Testing ______________________________________________ R-help@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