Discovering spatio-temporal relationships in the distribution of building fires
2013
Špatenková, Olga | Virrantaus, Kirsi
This paper focuses on a systematic risk mapping for mitigation purposes, which plays a crucial role in the context of the emergency management. It applies principles of the knowledge discovery and data mining to support development of the fire risk model at a city level. The study offers a set of advanced methods of the spatial and spatio-temporal analysis that share the same goal – to unveil causal relationships in the incident data. Each of the methods, however, reveals different aspects of the relations, which represents a valuable source of information. The results of this research thus enhance understanding of the phenomenon being studied and enable more accurate risk maps to be created.
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