Elsevier

Spatial Statistics

Volume 50, August 2022, 100607
Spatial Statistics

Testing biodiversity using inhomogeneous summary statistics and global envelope tests

https://doi.org/10.1016/j.spasta.2022.100607Get rights and content
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Abstract

We discuss recent methodological developments in inhomogeneous summary statistics and envelope testing and study their applications in the field of spatial point pattern analysis. Specifically, we use these methods to test McGill’s theory of biodiversity. This theory is based upon three axioms: individuals of the same species cluster together, many rare species co-exist with a few common ones and individuals of different species grow independently of each other. We assess the validity of the first and third axioms for data obtained from a 50 hectare plot on Barro Colorado Island.

Keywords

Biodiversity
Clustering within species
Independence between species
Inhomogeneous summary statistics
Spatial point pattern
Rank and global envelope tests

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