Natural-society multiple entities interaction modeling and watershed hazard risk estimation
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[1] Zoran Kapelan,et al. Comparative Analysis of System Dynamics and Object-Oriented Bayesian Networks Modelling for Water Systems Management , 2013, Water Resources Management.
[2] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[3] Marco Grzegorczyk,et al. Non-homogeneous dynamic Bayesian networks for continuous data , 2011, Machine Learning.
[4] M. Ernst,et al. When correlation implies causation in multisensory integration , 2012 .
[5] Robert Haining,et al. Spatial Data Analysis: Theory and Practice , 2003 .
[6] Gloria Bordogna,et al. A flexible multi‐source spatial‐data fusion system for environmental status assessment at continental scale , 2008, Int. J. Geogr. Inf. Sci..
[7] Santiago Ontañón,et al. A Dynamic-Bayesian Network framework for modeling and evaluating learning from observation , 2014, Expert Syst. Appl..
[8] Robert G. Raskin,et al. Knowledge representation in the semantic web for Earth and environmental terminology (SWEET) , 2005, Comput. Geosci..
[9] Michael F. Goodchild,et al. Towards a general theory of geographic representation in GIS , 2007, Int. J. Geogr. Inf. Sci..
[10] J. Pearl. Causal inference in statistics: An overview , 2009 .
[11] J. Junkins,et al. Optimal Estimation of Dynamic Systems , 2004 .
[12] Jim W. Hall,et al. Quantified scenarios analysis of drivers and impacts of changing flood risk in England and Wales: 2030–2100 , 2003 .
[13] Günter Blöschl,et al. Socio-hydrology: conceptualising human-flood interactions , 2013 .
[14] Jim W. Hall,et al. Fluvial flood risk management in a changing world , 2010 .