[R] Is it possible to do Ripley's K and L functions analysis with R?

Peter Dalgaard BSA p.dalgaard at biostat.ku.dk
Fri Mar 29 00:55:27 CET 2002

"Alexandre F. Souza" <alexfadigas at yahoo.com> writes:

> Dear friends,
>    I am studying the spatial distribution of trees in
> a tropical swamp forest in Brazil, and the spatial
> association between the trees and other forest and non
> forest elements. These are point pattern analysis of
> mapped data, preferentially done with the L function
> of Ripley.
>    I have recently discovererd the R-project and would
> like to know whether it is possible to do these
> analysis with the R environment. I would also like to
> know if the R language is user-friendly, since I do
> not have almost any experience with programming and
> have to carry out a lot of extra field work.


Whether R is user-friendly depends on the user... It does often have
the advantage of actually being able to do what people need. If you
can follow some simple examples, like those on the help pages, and
do the relevant substitutions and modifications for your own problems,
then you're basically set. There is a syntax that you have to follow,
and some associated fault-finding when you type something wrong, but
you can get quite far without actual programming. It's something that
is there for you when you need it.

   O__  ---- Peter Dalgaard             Blegdamsvej 3  
  c/ /'_ --- Dept. of Biostatistics     2200 Cph. N   
 (*) \(*) -- University of Copenhagen   Denmark      Ph: (+45) 35327918
~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk)             FAX: (+45) 35327907
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