Quantifying the degree of bias from using county-scale data in species distribution modeling: Can increasing sample size or using county-averaged environmental data reduce distributional overprediction?

Steven D Collins; John C Abbott; Nancy McIntyre

doi:10.1002/ece3.3115/full

Quantifying the degree of bias from using county-scale data in species distribution modeling: Can increasing sample size or using county-averaged environmental data reduce distributional overprediction?

Steven D Collins, John C Abbott, Nancy McIntyre

Biological Sciences

Research output: Contribution to journal › Article

Original language	English
Pages (from-to)	6012-6022
Journal	Ecology and Evolution
DOIs	https://doi.org/10.1002/ece3.3115/full
State	Published - 2017

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10.1002/ece3.3115/full

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Collins, S. D., Abbott, J. C., & McIntyre, N. (2017). Quantifying the degree of bias from using county-scale data in species distribution modeling: Can increasing sample size or using county-averaged environmental data reduce distributional overprediction? Ecology and Evolution, 6012-6022. https://doi.org/10.1002/ece3.3115/full

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title = "Quantifying the degree of bias from using county-scale data in species distribution modeling: Can increasing sample size or using county-averaged environmental data reduce distributional overprediction?",

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AU - McIntyre, Nancy

PY - 2017

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