Загрузка...
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...
Сохранить в:
| Опубликовано в: : | PeerJ |
|---|---|
| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
PeerJ Inc.
2020
|
| Предметы: | |
| Online-ссылка: | 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 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|