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Using Explorative Spatial Analysis to Improve Fire and Rescue Services

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Geo-information for Disaster Management

Abstract

Within this paper we examine the use of explorative spatial analysis methods to enhance the calculation and representation of an emergency risk assessment for the Finnish fire and rescue services in the metropolitan area of the Finnish capital Helsinki (including Espoo, Vantaa and Kauniainen). Some of these methods are available in existing GIS (Geographic Information System) software. Within the strategic levels of planning and management, improvements in the identification of high or low risk areas can assist the emergency preparedness planning and resource evaluation. To enhance the determination of a risk area we visualize the spatial distribution of phenomena like population distribution, building types, workspace distribution etc. and their relevance to the emergency services. In this paper we examine the relation between population density distribution and incident density. To visualize potential variables indicating risk areas we use the third dimension. The results of the paper show that by developing explorative visualizations one can enhance the process of finding and integrating these variables into risk analysis. Within this paper we suggest innovative types of maps as tools for decision makers, which can be used to attract the public to participate in planning procedures.

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References

  • (Ministry of Interior) (2000) Kunnan Pelastustoimen Palvelutasoa Koskevat Päätökset, in Dnro SM-1999-000939/Tu-31

    Google Scholar 

  • Alliniemi J (1994) Uhat ja mahdollisuudet — tapa tutkia onnettomuuksia ja niiden vaikutuksia

    Google Scholar 

  • Bailey TC, Gatrell AC (1995) Interactive Spatial Data Analysis, Addison-Wesley, Reading

    Google Scholar 

  • Cosgrove D (1999) Introduction: Mapping Meaning, in Mappings, (Ed. Cosgrove, D.) Reaction Books, London

    Google Scholar 

  • Cressie N (1993) Statistics for Spatial Data, Wiley, NewYork

    Google Scholar 

  • ESRI (2004) ArcGIS 9.0 Manual

    Google Scholar 

  • Ester M, Kriegel H-P, Sander J (1999) Knowledge Discovery in Spatial Database, in Proceedings Invited Paper at 23rd German Conference on Artifical Intelligence (Ed. Institute for Computer Science, U. o. M.) Bonn, pp 13

    Google Scholar 

  • Fayyad U, Grinstein GG (2003) Information Visualization in Data Mining and Knowledge Discovery, in San Fransisco, pp 1–17

    Google Scholar 

  • Josselin D (2003) Spatial Data Exploratory Analysis and Usability, Data Science Journal, 2, pp 100–117

    Article  Google Scholar 

  • Koperski K, Han J (1999) Data Mining Methods for the Analysis of Large Geographic Databases, Simon Fraser University, Burnaby, pp 4

    Google Scholar 

  • Kraak MJ (1999) Visualization for exploration of Spatial Data, International Journal of Geographical Information Science, 13

    Google Scholar 

  • Krisp JM (2004) Kernel density maps for the analysis of spatial features, Helsinki University of Technology, Helsinki, pp 15

    Google Scholar 

  • Krisp JM, Fronzek S (2003) Visualising thematical spatial data by using the third dimension, in Proceedings ScanGIS (Eds, Virrantaus, K. and Tveite, H.) Espoo, pp 157–166

    Google Scholar 

  • Krisp JM, Henriksson R, Hilbig A (2005) Modeling and Visualizing population density for the fire and rescue servides in Helsinki, Finland, in Proceedings International Cartographic Conference A Coruna

    Google Scholar 

  • Lonka H (1999) Risk Assessment Procedures Used in the Field of Civil Protection and Rescue Services in Different European Union Countries and Norway, SYKE, Helsinki

    Google Scholar 

  • MacEachren AM, Kraak M-J (1997) Exploratory Cartographic Visualisation: Advancing the Agenda, Computer & Geosciences, 23, pp 335–343

    Google Scholar 

  • Miller HJ (2000) Geographic representation in spatial analysis, Journal of Geographical Systems, pp 55–60

    Google Scholar 

  • Nielsen J (1993) Usability Engineering, Academic Press, New York

    Google Scholar 

  • Ogao PJ (2002) Exploratory visualization of temporal geospatial data using animation, ITC, Utrecht

    Google Scholar 

  • Patterson T (1999) Designing 3D Landscapes, in Multimedia Cartography, (ed Gartner, G) Berlin

    Google Scholar 

  • Peuquet DJ, Kraak, MJ (2002) Geobrowsing: creative thinking and knowledge discovery using geographic visualization, Information Visualization, 1, pp 80–91

    Article  Google Scholar 

  • Raper JF (1989) Key 3D modelling concepts for geoscientific analysis, in Three dimensional applications in GIS, (ed Raper) London, pp 215–232

    Google Scholar 

  • Silverman BW (1986) Density estimation for statistics and data analysis, Chapman and Hall, London

    Google Scholar 

  • YTV (1999) Establishments in the Metropolitan Area 1999, Helsinki Metropolitan Area Council (YTV), Helsinki

    Google Scholar 

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Krisp, J.M., Virrantaus, K., Jolma, A. (2005). Using Explorative Spatial Analysis to Improve Fire and Rescue Services. In: van Oosterom, P., Zlatanova, S., Fendel, E.M. (eds) Geo-information for Disaster Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27468-5_89

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