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more general categories information about this item Calendar Year Calendar Year Year (337475) 2012 (47541) Economics, Business and Industry Economics, Business and Industry administrative management (9912) planning (1372) economics (27895) public economics (3343) infrastructure (3032) Geographical Locations Geographical Locations Asia (16685) East Asia (10715) South Korea (455) Natural Resources, Earth and Environmental Sciences Natural Resources, Earth and Environmental Sciences geology (23343) geomorphology (10939) topography (1965) mass movement (179) subsidence (80) phytoliths (773) coal (390) rocks (1817) sedimentary rocks (893) coal (390) hydrology (18092) water table (978) natural resource management (11559) land management (3933) land use (2957) natural resources (75944) energy resources (3703) fuels (2792) fossil fuels (1056) coal (390) mineral resources (1067) fossil fuels (1056) coal (390) Reference Types Reference Types Journal (337546) Research, Technology and Engineering Research, Technology and Engineering geospatial science and technology (2769) spatial data (611) information science (2700) information technology (2074) databases (1723) mathematics and statistics (33406) algorithms (1326) prediction (5471) research (30526) research methods (29174) data collection (1652) support systems and models (27487) models (27236) technology (49139) transportation (1657) information technology (2074) databases (1723) Abstract of Article: Will be presented in next release Date Last Accessed: Accessed January 20, 2015 Title of Article: Spatial Prediction of Ground Subsidence Susceptibility Using an Artificial Neural Network Author(s) of Article: Will be identified in next release Citation: Environmental management 2012 v.49 no.2 pp. 347-358 Click to View: (Click to View) Date of Publication: 2012 Location of Article: http://pubag.nal.usda.gov/pubag/article.xhtml?id=574780 Name of Publication: Environmental management Publishing Company: Will be identified in next release Accession Number: 175116
