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Temporal area approach for distributional data in biogeography
Author(s) -
Dowding Elizabeth M.,
Ebach Malte C.,
Mavrodiev Evgeny V.
Publication year - 2019
Publication title -
cladistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.323
H-Index - 92
eISSN - 1096-0031
pISSN - 0748-3007
DOI - 10.1111/cla.12360
Subject(s) - representation (politics) , partition (number theory) , devonian , computer science , paleontology , mathematics , biology , combinatorics , politics , political science , law
A structural approach to temporality in distributional data for use in palaeobiogeography is described herein. Pre‐established areas in the distributional data matrix are split temporally, allowing a single geographical space to have multiple iterations [e.g. Area A (Lower Devonian), Area A (Middle Devonian)]. The resulting temporal matrix will allow the representation and capture of any differing relationships through time. Designed primarily for Parsimony Analysis of Endemicity ( PAE ) and biotic similarity analyses, this approach simply structures distributional data within a temporal partition, meaning that numerical methods can be used to assess relationships between areas to find a branching diagram. Created through the application of the temporal matrix to a given analysis, Temporal Area Approach ( TAA p) is a structural approach that facilitates exploration of the data rather than being a hypothesis‐driven model following analysis. Understanding the behaviour of non‐phylogenetic palaeobiogeographical data and reducing the prevalence of temporal artefacts will lead to more robust area classifications.