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Data quantity is more important than its spatial bias for predictive species distribution modelling
Biological records are often the data of choice for training predictive species distribution models (SDMs), but spatial sampling bias is pervasive in biological records data at multiple spatial scales and is thought to impair the performance of SDMs. We simulated presences and absences of virtual sp...
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| Publicado no: | PeerJ |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PeerJ Inc.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7703440/ https://ncbi.nlm.nih.gov/pubmed/33312769 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.10411 |
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