Wildfires data analysis and modelling has become an area of increasing interest in recent years, due to the relevant impact of these events on the environment. Specifically, vegetation fires have provided a source of data in the statistics field which requires, for a proper analysis, the use of directional statistics. For instance, when trying to understand how fire’s orientation affects its size, which allows designing appropriate strategies to reduce the impact of wildfires on landscape, directional statistical methods are required. Fire has also been used as a land management tool since pre–historic times and it is still employed for a wide variety of purposes, specially linked with agriculture activity. Within this context, to understand the fires’ seasonality is of special interest for analysing how the land management activities had altered the climate pattern.