Bayesian networks and agent-based modeling approach for urban land-use and population density change: a BNAS model

[1]  Daniel G. Brown,et al.  Empirical characterisation of agent behaviours in socio-ecological systems , 2011, Environ. Model. Softw..

[2]  David A. Bennett,et al.  Toward an understanding of provenance in complex land use dynamics , 2011 .

[3]  Arika Ligmann-Zielinska,et al.  Applying time-dependent variance-based global sensitivity analysis to represent the dynamics of an agent-based model of land use change , 2010, Int. J. Geogr. Inf. Sci..

[4]  Xingjian Liu,et al.  Arc_Mat: a Matlab-based spatial data analysis toolbox , 2010, J. Geogr. Syst..

[5]  Suzana Dragicevic,et al.  Agent-Based Model Validation Using Bayesian Networks and Vector Spatial Data , 2009 .

[6]  Daniel G. Brown,et al.  Evaluating the effects of land‐use development policies on ex‐urban forest cover: An integrated agent‐based GIS approach , 2009, Int. J. Geogr. Inf. Sci..

[7]  Xiaomin Qiu,et al.  Incorporating GIS Building Data and Census Housing Statistics for Sub-Block-Level Population Estimation , 2008 .

[8]  Suzana Dragicevic,et al.  Enhancing a GIS Cellular Automata Model of Land Use Change: Bayesian Networks, Influence Diagrams and Causality , 2007, Trans. GIS.

[9]  Richard E. Neapolitan,et al.  Learning Bayesian networks , 2007, KDD '07.

[10]  Harry J. P. Timmermans,et al.  Modelling land-use decisions under conditions of uncertainty , 2007, Comput. Environ. Urban Syst..

[11]  Laura Uusitalo,et al.  Advantages and challenges of Bayesian networks in environmental modelling , 2007 .

[12]  Paul M. Torrens,et al.  Modeling gentrification dynamics: A hybrid approach , 2007, Comput. Environ. Urban Syst..

[13]  Nicholas Mark Gotts,et al.  Comparison of empirical methods for building agent-based models in land use science , 2007 .

[14]  Piotr Jankowski,et al.  Agent-Based Models as Laboratories for Spatially Explicit Planning Policies , 2007 .

[15]  Davy Janssens,et al.  Integrating Bayesian networks and decision trees in a sequential rule-based transportation model , 2006, Eur. J. Oper. Res..

[16]  Vincent B. Robinson,et al.  A probe mechanism to couple spatially explicit agents and landscape models in an integrated modelling framework , 2006, Int. J. Geogr. Inf. Sci..

[17]  Steven M. Manson,et al.  Bounded rationality in agent‐based models: experiments with evolutionary programs , 2006, Int. J. Geogr. Inf. Sci..

[18]  Wenjie Sun,et al.  Spatially explicit experiments for the exploration of land‐use decision‐making dynamics , 2006, Int. J. Geogr. Inf. Sci..

[19]  Yichun Xie,et al.  Spatial agent‐based modelling , 2006, Int. J. Geogr. Inf. Sci..

[20]  Suzana Dragicevic,et al.  Coupling Bayesian Networks with GIS-Based Cellular Automata for Modeling Land Use Change , 2006, GIScience.

[21]  Paul M. Torrens,et al.  Simulating Sprawl , 2006 .

[22]  Harry Timmermans,et al.  Recent Advances in Design and Decision Support Systems in Architecture and Urban Planning , 2006 .

[23]  Ronald A. Howard,et al.  Influence Diagrams , 2005, Decis. Anal..

[24]  Michael Batty,et al.  Agents, Cells, and Cities: New Representational Models for Simulating Multiscale Urban Dynamics , 2005 .

[25]  Zhen Lei,et al.  Distributed Modeling Architecture of a Multi-Agent-Based Behavioral Economic Landscape (MABEL) Model , 2005, Simul..

[26]  William Rand,et al.  Spatial process and data models: Toward integration of agent-based models and GIS , 2005, J. Geogr. Syst..

[27]  Paul M. Torrens,et al.  Geographic Automata Systems , 2005, Int. J. Geogr. Inf. Sci..

[28]  Ashton M. Shortridge,et al.  Exploring Complexity in a Human–Environment System: An Agent-Based Spatial Model for Multidisciplinary and Multiscale Integration , 2005 .

[29]  J. Bromley,et al.  The use of Hugin® to develop Bayesian networks as an aid to integrated water resource planning , 2005, Environ. Model. Softw..

[30]  Michael Batty,et al.  GIS and remote sensing as tools for the simulation of urban land‐use change , 2005 .

[31]  William Rand,et al.  Path dependence and the validation of agent‐based spatial models of land use , 2005, Int. J. Geogr. Inf. Sci..

[32]  William Rand,et al.  Agent-based and analytical modeling to evaluate the effectiveness of greenbelts , 2004, Environ. Model. Softw..

[33]  James P. LeSage,et al.  Arc Mat, a Toolbox for Using ArcView Shape Files for Spatial Econometrics and Statistics , 2004, GIScience.

[34]  P.F. Gorder,et al.  Simulating Sprawl , 2004, Computing in Science & Engineering.

[35]  Jean-François Mas,et al.  Modelling deforestation using GIS and artificial neural networks , 2004, Environ. Model. Softw..

[36]  Tanja Tötzer,et al.  Modeling growth and densification processes in sub-urban regions – simulation of landscape transition with spatial agents , 2005 .

[37]  M. Janssen,et al.  Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review , 2003 .

[38]  P. Waddell.  UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning , 2002 .

[39]  I. Benenson,et al.  Entity-Based Modeling of Urban Residential Dynamics: The Case of Yaffo, Tel Aviv , 2002 .

[40]  David A. Bell,et al.  Learning Bayesian networks from data: An information-theory based approach , 2002, Artif. Intell..

[41]  Arnold K. Bregt,et al.  Multi-actor-based land use modelling: spatial planning using agents , 2001 .

[42]  Pietro Terna,et al.  How to build and use agent-based models in social science , 2000 .

[43]  Jacques Ferber,et al.  Multi-agent systems - an introduction to distributed artificial intelligence , 1999 .

[44]  Armanda Rodrigues,et al.  Environmental planning using spatial agents , 1998 .

[45]  Michael P. Wellman,et al.  Bayesian networks , 1995, CACM.

[46]  Danny Dorling,et al.  Map design for census mapping , 1993 .

[47]  Gregory F. Cooper,et al.  A Bayesian method for the induction of probabilistic networks from data , 1992, Machine Learning.

[48]  A. Hasman,et al.  Probabilistic reasoning in intelligent systems: Networks of plausible inference , 1991 .

[49]  David J. Spiegelhalter,et al.  Local computations with probabilities on graphical structures and their application to expert systems , 1990 .

[50]  Suzana Dragicevic,et al.  Integration of a GIS-Bayesian Network Agent-Based Model in a Planning Support System as Framework for Policy Generation , 2012 .

[51]  Robert J. Collins,et al.  AntFarm: Towards Simulated Evolution , 2007 .

[52]  John E. Abraham,et al.  Microsimulating urban systems , 2004, Comput. Environ. Urban Syst..

[53]  Harry Timmermans,et al.  Using Bayesian decision networks for knowledge representation under conditions of uncertainty in multi-agent land use simulation models , 2004 .

[54]  Itzhak Benenson,et al.  Agent-Based Modeling: From Individual Residential Choice to Urban Residential Dynamics , 2004 .

[55]  Ashcroft Ranch,et al.  GREATER VANCOUVER REGIONAL DISTRICT , 2004 .

[56]  M. Goodchild,et al.  Spatially integrated social science , 2004 .

[57]  Finn V. Jensen,et al.  Bayesian Networks and Decision Graphs , 2001, Statistics for Engineering and Information Science.

[58]  R. Selten,et al.  Bounded rationality: The adaptive toolbox , 2000 .

[59]  Kevin Murphy,et al.  Bayes net toolbox for Matlab , 1999 .

[60]  Neil Stuart,et al.  Innovations in GIS 5 , 1997 .

[61]  Pattie Maes,et al.  Modeling Adaptive Autonomous Agents , 1993, Artificial Life.

[62]  Ronald A. Howard,et al.  Readings on the Principles and Applications of Decision Analysis , 1989 .

[63]  John K. Wright.  A Method of Mapping Densities of Population: With Cape Cod as an Example , 1936 .