This toolkit demonstrates improved reproducibility and modularity in species distribution modeling, integrating diverse data types effectively.
(1) Species distribution modeling requires to handle varied types of data, and benefits from an integrated approach to programming. (2) We introduce SpeciesDistributionToolkit , a Julia package aiming to facilitate the production of species distribution models. It covers various steps of the data collection and analysis process, extending to the development of interfaces for integration of additional functionalities. (3) By relying on semantic versioning and strong design choices on modularity, we expect that this package will lead to improved reproducibility and long-term maintainability. (4) We illustrate the functionalities of the package through several case studies, accompanied by reproducible code.
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Poisot et al. (2025) studied this question.
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