• Corpus ID: 212657500

A spatio-temporal model to understand forest fires causality in Europe

@article{Rivera2020ASM,
  title={A spatio-temporal model to understand forest fires causality in Europe},
  author={{\'O}scar Rodr{\'i}guez de Rivera and Antonio L'opez-Qu'ilez and Marta Blangiardo and Martyna Wasilewska},
  journal={arXiv: Applications},
  year={2020}
}
Forest fires are the outcome of a complex interaction between environmental factors, topography and socioeconomic factors (Bedia et al, 2014). Therefore, understand causality and early prediction are crucial elements for controlling such phenomenon and saving lives.The aim of this study is to build spatio-temporal model to understand causality of forest fires in Europe, at NUTS2 level between 2012 and 2016, using environmental and socioeconomic variables.We have considered a disease mapping… 

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