TY  - JOUR
AU  - Marcon, E.
AU  - Traissac, S.
AU  - Lang, G.
PY  - 2013//
TI  - A Statistical Test for Ripley’s Function Rejection of Poisson Null Hypothesis
T2  - ISRN Ecology
JO  - ISRN Ecology
SP  - 9
VL  - 2013
IS  - Article ID 753475
N2  - Ripley’s K function is the classical tool to characterize the spatial structure of point patterns. It is widely used in vegetation studies. Testing its values against a null hypothesis usually relies on Monte-Carlo simulations since little is known about its distribution.We introduce a statistical test against complete spatial randomness (CSR). The test returns the p-value to reject the null hypothesis of independence between point locations. It is more rigorous and faster than classical Monte-Carlo simulations. We show how to apply it to a tropical forest plot. The necessary R code is provided.
UR  - http://www.hindawi.com/isrn/ecology/2013/753475/cta/
L1  - http://php.ecofog.gf/refbase/files/marcon/2013/479_Marcon_etal2013.pdf
UR  - http://dx.doi.org/10.1155/2013/753475
N1  - exported from refbase (http://php.ecofog.gf/refbase/show.php?record=479), last updated on Mon, 09 Sep 2013 11:52:12 -0300
ID  - Marcon_etal2013
ER  -