[ai-geostats] Sample sizes for point pattern analyses
- I have been surfing the internet and looking through a few older spatial spatistics books and could not find any recommendations on minimum sample size for point pattern analyses, specifically the Ripley's K(d) function. Is there a source citing this somewhere?Thanks,Mike R. Saunders
Forest Ecosystem Research Program
Department of Forest Ecosystem Sciences
University of Maine
- Dear Mike.
In point pattern analysis, your sample is supposed to
be a homogeneous thinning of a more global underlying
point process, and is therefore expected to share same
Usually Monte Carlo simulations are involved to test
null hypothesis. The less point you have the less
robust your test will be: each significant rejection
of the null hypothesis are about to be generalized to
the underlying process, whereas no conclusions have to
be made about non-significant results (since larger
sample could have lead, or not, to significant
rejection of H0).
Of this, what i understood was that no real minimum
sample size can be defined.
I found the manual of P.J. Diggle 2003 a valuable and
clear source of information about points patterns :
"Diggle, P. J. (2003). Statistical analysis of spatial
point patterns (2d edn). London, UK: Arnold."
Hope it would help.
Joseph Le Cuziat
IMEP - ECWP
--- Mike Saunders <mike_saunders@...> a
écrit : > I have been surfing the internet and looking
> a few older spatial spatistics books and could notto
> find any recommendations on minimum sample size for
> point pattern analyses, specifically the Ripley's
> K(d) function. Is there a source citing this
> Mike R. Saunders
> Research Associate
> Forest Ecosystem Research Program
> Department of Forest Ecosystem Sciences
> University of Maine
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Joseph LE CUZIAT
IMEP, FST St Jérôme, case 461, 13397 Marseille cedex 20, FRANCE
ECWP, Province de Boulemane, BP 47 Missour, MAROC
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