Spatio-temporal point process analysis of Mexico State wildfires

Abstract

Wildfires are an example of a phenomenon that can be investigated using point process theory. We analyze public data from the National Forestry Commission. It consists of wildfire records, specifically their coordinates and dates of occurrence in Mexico State from 2010 to 2018. The spatial component was examined, and we found that wildfires tend to cluster. Afterwards, a time series analysis was conducted. This shows that the data comes from a stationary stochastic process. Finally, some spatio-temporal features that demonstrate the point process’ regular behavior in space and time were investigated. This research could be a reference to describe wildfire behavior in a specific space and time.

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