Sicily encountered a growing challenge of wildfires in 2023, necessitating a thorough investigation into their spatio-temporal dynamics. Our study addresses this concern by applying a Poisson separable spatio-temporal point process model. We prove that the spatial occurrence of fires is influenced by human activities, altitude, and slope, while the temporal one is mainly due to environmental variables, including temperature, wind speed, surface pressure, and total precipitation.
Nicoletta D'Angelo, Alessandro Albano, Andrea Gilardi, Giada Adelfio (2025). Spatio-temporal modelling of fires in Sicily. In A. Pollice, P. Mariani (a cura di), Methodological and Applied Statistics and Demography II. SIS 2024, Short Papers, Solicited Sessions [10.1007/978-3-031-64350-7_60].
Spatio-temporal modelling of fires in Sicily
Nicoletta D'Angelo
;Alessandro Albano;Giada Adelfio
2025-01-01
Abstract
Sicily encountered a growing challenge of wildfires in 2023, necessitating a thorough investigation into their spatio-temporal dynamics. Our study addresses this concern by applying a Poisson separable spatio-temporal point process model. We prove that the spatial occurrence of fires is influenced by human activities, altitude, and slope, while the temporal one is mainly due to environmental variables, including temperature, wind speed, surface pressure, and total precipitation.
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