This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint.

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Supplementary Files
- Supp. Mat. 1 - land cover consensus
- Supp. Mat. 2 - working with GBIF data
- Supp. Mat. 3 - training a SDM
- Supp. Mat. 4 - creating virtual species
Authors
Abstract
(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.
DOI
https://doi.org/10.32942/X2405R
Subjects
Biodiversity, Other Ecology and Evolutionary Biology
Keywords
species distribution models, biogeography, occurrence data, land use, climatic data, pseudo-absences
Dates
Published: 2025-02-18 18:07
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License
CC BY Attribution 4.0 International
Additional Metadata
Language:
English
Conflict of interest statement:
None
Data and Code Availability Statement:
All code required to reproduce the examples in the manuscript is available at https://github.com/PoisotLab/ms_sdt_software
There are no comments or no comments have been made public for this article.