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