[Baird D., Rubach M., Van den Brinkt P., 2008. Trait-based ecological risk assessment (TERA): The new frontier? Integrated Environmental Assessment and Management 4(1): 2–3.10.1897/IEAM_2007-063.118260202]Search in Google Scholar
[Birkmann J., Cardona O., Carreño M., Barbat A., Pelling M., Schneiderbauer S., Kienberger S., Keiler M., Alexander D., Zeil P., Welle T., 2013. Framing vulnerability, risk and societal responses: the MOVE framework. Natural Hazards 67(2): 193–211.10.1007/s11069-013-0558-5]Search in Google Scholar
[Cutter S., Mitchell J., Scott M., 2000. Revealing the Vulnerability of People and Places: A Case Study of Georgetown County, South Carolina. Annals of the Association of American Geographers 90(4): 713–737.10.1111/0004-5608.00219]Search in Google Scholar
[FEMA, 1997. Multi-hazard Identification and Risk Assessment. Government Printing Office, Washington. http://www.fema.gov/pdf/fhm/mhira-in.pdf. Accessed 3 March 2014.]Search in Google Scholar
[Field C., Barros V., Dokken D., Mach K., Mastrandrea M., Bilir T., Chatterjee M., Ebi K., Estrada Y., Genova R., Girma B., Kissel E., Levy A., MacCracken S., Mastrandrea P., White L. (eds)., 2014. Climate Change 2014: Impacts, adaptation, and vulnerability. Cambridge University Press, Cambridge.10.1017/CBO9781107415379]Search in Google Scholar
[Fuchs S., 2009. Susceptibility versus resilience to mountain hazards in Austria – Paradigms of vulnerability revisited. Natural Hazards and Earth System Sciences 9(2): 337–352.10.5194/nhess-9-337-2009]Search in Google Scholar
[Fuchs S., Kuhlicke C., Meyer V., 2011. Editorial for the special issue: vulnerability to natural hazards – the challenge of integration. Natural Hazards 58(2): 609–619.10.1007/s11069-011-9825-5]Search in Google Scholar
[Govindaraju R., Rao A. (eds)., 2000. Artificial neural networks in hydrology. Springer, Dordrecht.10.1007/978-94-015-9341-0]Search in Google Scholar
[IBM, 2011. SPSS Modeler 14.2 Modeling Nodes. IBM Corporation.]Search in Google Scholar
[Kaufman, L. Rousseeuw, P., 2005. Finding groups in data: An introduction to cluster analysis. John Wiley and Sons, USA.]Search in Google Scholar
[Kohonen T., 1982. Self-Organized Formation of Topologically Correct Feature Maps. Biological Cybernetics 43(1): 59–69.10.1007/BF00337288]Search in Google Scholar
[Kuhlicke C., 2013. Resilience: a capacity and a myth: findings from an in-depth case study in disaster management research. Natural Hazards 67(1): 61–76.10.1007/s11069-010-9646-y]Search in Google Scholar
[Kumpulainen S., 2006. Vulnerability Concepts in Hazard and Risk Assessment. Geological Survey of Finland, Special Paper 42: 65–74.]Search in Google Scholar
[Kurgan L., Cios K., 2001. Discretization Algorithm that Uses Class-Attribute Interdependence Maximization. In: Proceedings of the 2001 International Conference on Artificial Intelligence (IC-AI 2001), Las Vegas, Nevada.]Search in Google Scholar
[Menoni S., Molinari D., Parker D., Ballio F., Tapsell S., 2012. Assessing multifaceted vulnerability and resilience in order to design risk-mitigation strategies. Natural Hazards 64(3): 2057–2082.10.1007/s11069-012-0134-4]Search in Google Scholar
[OAS – Dept. of Regional Development and Environment, 1991. Chapter 6 – Multiple Hazard Mapping. In: Primer of Natural Hazard Management in Integrated Regional Development Planning.]Search in Google Scholar
[Papathoma-Köhle M., Kappes M., Keiler M., Glade T., 2011. Physical vulnerability assessment for alpine hazards: state of the art and future needs. Natural Hazards 58(2): 645–680.10.1007/s11069-010-9632-4]Search in Google Scholar
[Parry M., Canziani O., Palutikof J. (eds)., 2007. Climate change 2007. Impacts, adaptation and vulnerability: Working Group II contribution to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.]Search in Google Scholar
[Ratanamahatana C., 2003. CloNI: Clustering of √N-Interval discretization. In: Proceedings of the 4th International Conference on Data Mining Including Building Application for CRM & Competitive Intelligence, Rio de Janeiro, Brazil.]Search in Google Scholar
[Stocker T., Qin D., Plattner G., Tignor M., Allen S., Boschung J., Nauels A., Xia Y., Bex V., Midgley P. (eds)., 2013. Climate change 2013: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.]Search in Google Scholar
[UN/ISDR, 2015. Sendai Framework for Disaster Risk Reduction 2015–2030. United Nations, Geneva]Search in Google Scholar
[Varnes D., 1984. Landslide Hazard Zonation: A review of Principles and Practice. United Nations Educational Scientific and Cultural, USA.]Search in Google Scholar
[Water Development Department. http://www.moa.gov.cy/moa/wdd/Wdd.nsf/index_en/index_en?OpenDocument]Search in Google Scholar
[WGS – Word Geodetic System, 1984. National Geospatial – Intelligence Agency. https://www1.nga.mil]Search in Google Scholar
[Zachariadis T., 2012. Climate Change in Cyprus: Impacts and Adaptation Policies. Cyprus Economic Policy Review 6(1): 21–37.]Search in Google Scholar