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2017 | OriginalPaper | Chapter

Forecasting the Start and End of Pollen Season in Madrid

Authors : Ricardo Navares, José Luis Aznarte

Published in: Advances in Time Series Analysis and Forecasting

Publisher: Springer International Publishing

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Abstract

In this paper we approach the problem of predicting the start and the end dates for the pollen season of grasses (family Poaceae) and plantains (family Plantago) in the city of Madrid. A classification-based approach is introduced to forecast the main pollination season, and the proposed method is applied to a range of parameters such as the threshold level, which defines the pollen season, and several forecasting horizons. Different computational intelligence approaches are tested including Random Forests, Logistic Regression and Support Vector Machines. The model allows to predict risk exposures for patients and thus anticipate the activation of preventive measures for clinical institutions.

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Metadata
Title
Forecasting the Start and End of Pollen Season in Madrid
Authors
Ricardo Navares
José Luis Aznarte
Copyright Year
2017
Book
Advances in Time Series Analysis and Forecasting

Print ISBN: 978-3-319-55788-5

Electronic ISBN: 978-3-319-55789-2

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-55789-2_27