Spatial clustering of emergency situations locations

Vitaly Borisovich Ivanov; Vladimir Nickolaevich Gilyarov; Alexander Azerovich Musaev

doi:10.15622/sp.24.7

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JOURNAL ARTICLE

Spatial clustering of emergency situations locations

Vitaly Borisovich Ivanov Vladimir Nickolaevich Gilyarov Alexander Azerovich Musaev

Year: 2014 Journal: SPIIRAS Proceedings Vol: 1 (24)Pages: 108-108 Publisher: St. Petersburg Institute for Informatics and Automation

DOI: 10.15622/sp.24.7

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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:

Cluster analysis Computer science Data mining Visualization Artificial intelligence

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Environmental Sustainability and Technology

Physical Sciences → Environmental Science → Management, Monitoring, Policy and Law

Spatial clustering of emergency situations locations

Abstract

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