In modern metropolitan governance, fire-fighting represents a challenging task given the limited resources and the nature of disastrous impact on the citizen's psyche regarding the loss of both property and human lives. Fire-fighting and reduction of fire loss remain a challenging task for policy makers. The study of past fire incidences and factors empower policy makers for making resource allocation decision. In the wake of availability of large collections of both time-stamped and geocoded fire incident data, the exploration of any possible spatio-temporal patterns can help better allocation of limited fire resources. This paper employs spatio-temporal data analysis techniques such as spatial kernel density and spatial dependency index such as Ripley's K, Moran's I and Lee's L to explore socioeconomical factors and fire incidents. The results showed that in addition to population factors, the amount of electricity usage and ems demands are also relevant indicators for fire occurrences.
