Discovering spatio-temporal relationships in the distribution of building fires

作者：Spatenkova Olga^*; Virrantaus Kirsi

来源：Fire Safety Journal, 2013, 62: 49-63.

DOI：10.1016/j.firesaf.2013.07.001

• Spatio-temporal data mining
• Visualisation
• Point patterns
• Geographically weighted regression
• Risk modelling
• Building fires

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.

• 出版日期2013-11