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Updated: Jan 7, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
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Published on: October 24, 2025

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使用基于树的机器学习来空间时间预测飞花粉度

Hyemin Hwang1, Martina S Ragettli2, Marloes Eeftens2

  • 1Department of Environmental Engineering, Ajou University, 206, World cup-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do, 16499, Republic of Korea.

Environmental research
|December 31, 2025
PubMed
概括

机器学习模型准确地预测了韩国的每日花粉计数,特定地点的模型显示出卓越的性能. 温度和太阳辐射等气候因素是花粉动态的关键驱动因素.

关键词:
航空过敏原 航空过敏原空气污染 空气污染气候变化 气候变化 气候变化早期预警的早期警告.环境健康环境健康

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相关概念视频

Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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