dissmapr: A Novel Framework for Compositional Dissimilarity and Biodiversity Turnover Analysis

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Authors: Sandra MacFadyen
Cited by: 2

Abstract

`dissmapr` provides a reproducible, end-to-end workflow for computing and mapping compositional dissimilarity and biodiversity turnover across large spatial scales. Core features include occurrence data retrieval, environmental data extraction, flexible grid generation, order-wise dissimilarity computations, and intuitive bioregional mapping.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
25 June 2026