Spatiotemporal modelling of airborne birch and grass pollen concentration across Switzerland: A comparison of statistical, machine learning and ensemble methods
Nonlinear algorithms outperformed linear models and accurately explained complex, nonlinear relationships between environmental factors and measured concentrations.
Authors
- Behzad Valipour Shokouhi
- Marloes Eeftens (ORCID: https://orcid.org/0000-0002-1002-3412)
- Kees de Hoogh (ORCID: https://orcid.org/0000-0001-5974-2007)
- Regula Gehrig
Institutions
- Federal Office of Meteorology and Climatology MeteoSwiss (CH)
- Swiss Tropical and Public Health Institute (CH)
- University of Basel (CH)
Publication Details
- Journal
- Environmental Research
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1016/j.envres.2024.119999
- Citations
- 8
- Primary Topic
- Species Distribution and Climate Change
- Type
- article
- Field-Weighted Citation Impact
- 7.36
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- European Research Council
- Horizon 2020
- H2020 European Research Council