A partitioned and asynchronous cellular automata model for urban growth simulation
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Chen Zeng | Xinli Ke | Lingyun Qi | C. Zeng | X. Ke | Lingyun Qi | Chen Zeng
[1] Zengxiang Zhang,et al. Spatial patterns and driving forces of land use change in China during the early 21st century , 2010 .
[2] Khila R. Dahal,et al. Characterization of neighborhood sensitivity of an irregular cellular automata model of urban growth , 2015, Int. J. Geogr. Inf. Sci..
[3] José I. Barredo,et al. Are European Cities Becoming Dispersed? A Comparative Analysis of 15 European Urban Areas , 2006 .
[4] K. Seto,et al. Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools , 2012, Proceedings of the National Academy of Sciences.
[5] José I. Barredo,et al. Modelling Future Urban Scenarios in Developing Countries: An Application Case Study in Lagos, Nigeria , 2004 .
[6] Emiliano Ferreira Castejon,et al. Using neural networks and cellular automata for modelling intra‐urban land‐use dynamics , 2008, Int. J. Geogr. Inf. Sci..
[7] Harun Artuner,et al. Application of Decision Tree Algorithm for classification and identification of natural minerals using SEM-EDS , 2015, Comput. Geosci..
[8] Xiaoping Liu,et al. Simulating urban growth by integrating landscape expansion index (LEI) and cellular automata , 2014, Int. J. Geogr. Inf. Sci..
[9] G. D. Jenerette,et al. Quantifying spatiotemporal patterns of urbanization: The case of the two fastest growing metropolitan regions in the United States , 2011 .
[10] Min Cao,et al. A new discovery of transition rules for cellular automata by using cuckoo search algorithm , 2015, Int. J. Geogr. Inf. Sci..
[11] Jahangir Mohammed,et al. A Cellular Automata based Optimal Edge Detection Technique using Twenty-Five Neighborhood Model , 2013, ArXiv.
[12] Yongjiu Feng,et al. A heuristic cellular automata approach for modelling urban land-use change based on simulated annealing , 2013, Int. J. Geogr. Inf. Sci..
[13] Hedwig van Delden,et al. Measuring the neighbourhood effect to calibrate land use models , 2013, Comput. Environ. Urban Syst..
[14] Dianhui Wang,et al. Quantum artificial neural networks with applications , 2015, Inf. Sci..
[15] Anthony Gar-On Yeh,et al. Neural-network-based cellular automata for simulating multiple land use changes using GIS , 2002, Int. J. Geogr. Inf. Sci..
[16] Paula Camus,et al. Selecting model scenarios of real hydrodynamic forcings on mesotidal and macrotidal estuaries influenced by river discharges using K-means clustering , 2015, Environ. Model. Softw..
[17] Xiaoping Liu,et al. Assimilating process context information of cellular automata into change detection for monitoring land use changes , 2012, Int. J. Geogr. Inf. Sci..
[18] N. Grassly,et al. United Nations Department of Economic and Social Affairs/population Division , 2022 .
[19] D. Civco,et al. THE DIMENSIONS OF GLOBAL URBAN EXPANSION: ESTIMATES AND PROJECTIONS FOR ALL COUNTRIES, 2000–2050 , 2011 .
[20] Jamal Jokar Arsanjani,et al. ntegration of logistic regression , Markov chain and cellular automata odels to simulate urban expansion amal , 2012 .
[21] Shuwen Zhang,et al. Spatial patterns and driving forces of land use change in China during the early 21st century , 2010 .
[22] Rui Zhu,et al. An intelligent method to discover transition rules for cellular automata using bee colony optimisation , 2013, Int. J. Geogr. Inf. Sci..
[23] Fang Zhang,et al. A cellular automata model for simulating the evolution of positive–negative terrains in a small loess watershed , 2013, Int. J. Geogr. Inf. Sci..
[24] Xia Li,et al. Cellular automata for simulating land use changes based on support vector machines , 2008, Comput. Geosci..
[25] Yan Liu,et al. Modelling sustainable urban growth in a rapidly urbanising region using a fuzzy-constrained cellular automata approach , 2012, Int. J. Geogr. Inf. Sci..
[26] Eric Koomen,et al. Comparing the input, output, and validation maps for several models of land change , 2008 .
[27] Lukasz Madej,et al. Numerical Modelling of Fracture Based on Coupled Cellular Automata Finite Element Approach , 2014, ACRI.
[28] Xia Li,et al. Simulating complex urban development using kernel-based non-linear cellular automata , 2008 .
[29] Xia Li,et al. Data mining of cellular automata's transition rules , 2004, Int. J. Geogr. Inf. Sci..
[30] Bo Huang,et al. Land-Use-Change Modeling Using Unbalanced Support-Vector Machines , 2009 .
[31] Roger White,et al. Integrated modelling of population, employment and land-use change with a multiple activity-based variable grid cellular automaton , 2012, Int. J. Geogr. Inf. Sci..
[32] Lina Tang,et al. A neighbor decay cellular automata approach for simulating urban expansion based on particle swarm intelligence , 2014, Int. J. Geogr. Inf. Sci..
[33] Xiaoping Liu,et al. Knowledge transfer and adaptation for land-use simulation with a logistic cellular automaton , 2013, Int. J. Geogr. Inf. Sci..
[34] W. Tobler. A Computer Movie Simulating Urban Growth in the Detroit Region , 1970 .
[35] Hans Visser,et al. The Map Comparison Kit , 2006, Environ. Model. Softw..
[36] Inés Santé-Riveira,et al. Calibration of an urban cellular automaton model by using statistical techniques and a genetic algorithm. Application to a small urban settlement of NW Spain , 2013, Int. J. Geogr. Inf. Sci..
[37] M. Helbich,et al. Spatiotemporal urbanization processes in the megacity of Mumbai, India: A Markov chains-cellular automata urban growth model , 2013 .
[38] K. Seto,et al. A Meta-Analysis of Global Urban Land Expansion , 2011, PloS one.
[39] C. Brodley,et al. Decision tree classification of land cover from remotely sensed data , 1997 .
[40] T. Edwin Chow,et al. An agent-integrated irregular automata model of urban land-use dynamics , 2014, Int. J. Geogr. Inf. Sci..
[41] Suzana Dragicevic,et al. Modeling urban growth using a variable grid cellular automaton , 2009, Comput. Environ. Urban Syst..