Characterizing the relative spatial structure of point patterns

Eric Marcon; Florence Puech; Stephane Traissac

Characterizing the relative spatial structure of point patterns

Eric Marcon ¹ Florence Puech Stephane Traissac ²

1 UMR ECOFOG - Ecologie des forêts de Guyane

2 ECOFOG - Ecologie des forêts de Guyane

Abstract : We generalize Ripley's K function to get a new function, M, to characterize the spatial structure of a point pattern relatively to another one. We show that this new approach is pertinent in ecology when space is not homogenous and the size of objects matters. We present how to use the function and test the data against the null hypothesis of independence between points. In a tropical tree data set we detect intraspecific aggregation and interspecific competition.

Document type :

Journal articles

Domain :

Life Sciences [q-bio]

Complete list of metadatas

https://hal-agroparistech.archives-ouvertes.fr/hal-01502623
Contributor : Carole Legrand <>
Submitted on : Wednesday, April 5, 2017 - 7:57:46 PM
Last modification on : Friday, March 29, 2019 - 9:12:14 AM

Characterizing the relative spatial structure of point patterns

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Characterizing the relative spatial structure of point patterns

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