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Updated: Jul 8, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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Published on: October 11, 2016

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评估存在缺席模型的预测性能:为什么同一个模型看起来很好或很差?

Nerea Abrego1,2, Otso Ovaskainen1,3,4

  • 1Department of Biological and Environmental Science University of Jyväskylä Jyväskylä Finland.

Ecology and evolution
|December 19, 2023
PubMed
概括

选择最好的物种分布模型需要仔细评估预测性表现指标. 不同的指标和空间尺度可以产生不同的结果,强调需要全面的方法,而不是简单的规则.

关键词:
的 AUC AUC 的 AUC.这就是Tjur的R2.准确度 准确度 准确度 准确度 准确度进行交叉验证.歧视是一种歧视.共同的物种分布模型.最多的TSS-TSS.最大的卡帕-卡帕.模型的存在/缺席模型.灵敏度 灵敏度 灵敏度 灵敏度 灵敏度特殊性的特异性

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