  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 approach, commonly used in small
area studies to assess thespatial pattern and to identify areas characterised
by unusually high or low relative risk.
