Unmasking structural patterns in incidence matrices: an application to ecological data

Bernat Bramon Mora, Giulio V. Dalla Riva & Daniel B. Stouffer
Null models have become a crucial tool for understanding structure within incidence matrices across multiple biological contexts. For example, they have been widely used for the study of ecological and biogeographic questions, testing hypotheses regarding patterns of community assembly, species co-occurrence and biodiversity. However, to our knowledge we remain without a general and flexible approach to study the mechanisms explaining such structures. Here, we provide a method for generating ‘correlation-informed’ null models, which combine the...
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