Spatial clustering of emergency situations locations

V. B. Ivanov^a, V. Gilyarov^a, A. A. Musaev<sup>b

a</sup> State Technological Institute of St. Petersburg (Technical University)
^b St. Petersburg Institute for Informatics and Automation of RAS

Abstract: The topicality of spatial clustering of emergency situations locations is substantiated. The adapted STING clustering algorithm is presented. The work has a description of a choice of a database for storing clustering results based on comparative analysis of alternative storages. An algorithm for data preparation for following visualization is offered.

Keywords: spatial clustering, quadtree, graph database.

Received: 20.12.2012