Building models for daily pollen concentrations

被引：0
作者：
Hilaire, Denis [1 ]
Rotach, Mathias W. [1 ,2 ]
Clot, Bernard [1 ]
机构：
[1] Fed Off Meteorol & Climatol MeteoSwiss, CH-1530 Payerne, Switzerland
[2] Univ Innsbruck, Inst Meteorol & Geophys, A-6020 Innsbruck, Austria
来源：
AEROBIOLOGIA | 2012年 / 28卷 / 04期
关键词：
Aerobiology; Aeroallergen; Poisson regression; Data preprocessing; Boosting; Predictive modeling; AIRBORNE POLLEN; AIR-TEMPERATURE; BETULA POLLEN; GRASS-POLLEN; SOUTH; TERM;
D O I：
10.1007/s10453-012-9252-4
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
We describe a method for constructing prediction models for daily pollen concentrations of several pollen taxa in different measurement sites in Switzerland. The method relies on daily pollen concentration time series that were measured with Hirst samplers. Each prediction is based on the weather conditions observed near the pollen measurement site. For each prediction model, we do model assessment with a test data set spanning several years.
引用
收藏
页码：499 / 513
页数：15
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