Scholarlink

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.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Spatio-Temporal Modelling of Fires in Sicily

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Nicoletta D’Angelo,
  • Alessandro Albano,
  • Andrea Gilardi,
  • Giada Adelfio

摘要

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.