1Department of Geology, National Environmental Agency,
Ministry of Environment and Natural Resources Protection of Georgia, Tbilisi, Georgia
2Institute of Geo-Information Science and Earth Observation (ITC) of the University of Twente,
Enschede, The Netherlands
Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, Beijing, China
Department of Public Works and Town & Country Planning, Ministry of Interior, Bangkok, Thailand
Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China
School of Environmental Sciences, University of Guelph, Guelph, Canada
Copyright © 2014 George Gaprindashvili, Jianping Guo, Panisara Daorueang, Tian Xin, Pooyan Rahimy et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Gaprindashvili, G. , Guo, J. , Daorueang, P. , Xin, T. and Rahimy, P. (2014) A New Statistic Approach towards Landslide Hazard Risk Assessment.
International Journal of Geosciences,
5, 38-49. doi:
10.4236/ijg.2014.51006.