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GitHub / lukasgabor / SDMs-affected-by-positional-uncertainty-in-occurrences-can-still-be-ecologically-interpretable

This repository provides R scripts for reproducing virtual species generating, modeling species distribution and final figures related with published manuscript.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lukasgabor%2FSDMs-affected-by-positional-uncertainty-in-occurrences-can-still-be-ecologically-interpretable

Stars: 0
Forks: 0
Open issues: 0

License: mit
Language: R
Size: 49.8 KB
Dependencies parsed at: Pending

Created at: about 3 years ago
Updated at: about 2 years ago
Pushed at: almost 2 years ago
Last synced at: over 1 year ago

Commit Stats

Commits: 17
Authors: 2
Mean commits per author: 8.5
Development Distribution Score: 0.176
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/lukasgabor/SDMs-affected-by-positional-uncertainty-in-occurrences-can-still-be-ecologically-interpretable

Topics: data-assessment, data-quality, model-interpretability, species-distribution-modelling

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