A Spatially Heterogeneous Expert Based (SHEB) Urban Growth Model using Model Regionalization
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Giorgos Mountrakis | Dimitrios P. Triantakonstantis | Jida Wang | G. Mountrakis | Jida Wang | D. Triantakonstantis
[1] K. Lu,et al. Modeling and Prediction of Future Urban Growth in the Charleston Region of South Carolina: a GIS-based Integrated Approach , 2003 .
[2] S. Simard,et al. Neighborhood size effects on mortality, growth and crown morphology of paper birch , 2005 .
[3] Bryan C. Pijanowski,et al. Calibrating a neural network‐based urban change model for two metropolitan areas of the Upper Midwest of the United States , 2005, Int. J. Geogr. Inf. Sci..
[4] Kor de Jong,et al. A method to analyse neighbourhood characteristics of land use patterns , 2004, Comput. Environ. Urban Syst..
[5] M Tate,et al. [The state of the world population]. , 1968, Sanfujinka no jissai. Practice of gynecology and obstetrics.
[6] Lin Liu,et al. A bottom‐up approach to discover transition rules of cellular automata using ant intelligence , 2008, Int. J. Geogr. Inf. Sci..
[7] A. Getis,et al. Comparative Spatial Filtering in Regression Analysis , 2002 .
[8] Zhiyong Hu,et al. Modeling urban growth in Atlanta using logistic regression , 2007, Comput. Environ. Urban Syst..
[9] Xia Li,et al. Calibration of Cellular Automata by Using Neural Networks for the Simulation of Complex Urban Systems , 2001 .
[10] C. Lavalle,et al. Modelling dynamic spatial processes: simulation of urban future scenarios through cellular automata , 2003 .
[11] S. Linden,et al. Cross-border Comparison of Post-socialist Farmland Abandonment in the Carpathians , 2008, Ecosystems.
[12] K. P. Overmarsa,et al. Spatial autocorrelation in multi-scale land use models , 2003 .
[13] S. T. Buckland,et al. An autologistic model for the spatial distribution of wildlife , 1996 .
[14] R. White,et al. High-resolution integrated modelling of the spatial dynamics of urban and regional systems , 2000 .
[15] Chengquan Huang,et al. Use of a dark object concept and support vector machines to automate forest cover change analysis , 2008 .
[16] Suzana Dragicevic,et al. Modeling urban growth using a variable grid cellular automaton , 2009, Comput. Environ. Urban Syst..
[17] Xia Li,et al. Cellular automata for simulating land use changes based on support vector machines , 2008, Comput. Geosci..
[18] Henry L. Gholz,et al. Land use dynamics and landscape history in La Montaña, Campeche, Mexico , 2007 .
[19] A Veldkamp,et al. Modelling land use change and environmental impact. , 2004, Journal of environmental management.
[20] Eric Koomen,et al. Comparing the input, output, and validation maps for several models of land change , 2008 .
[21] Kevin McGarigal,et al. Surface metrics: an alternative to patch metrics for the quantification of landscape structure , 2009, Landscape Ecology.
[22] V. Tsihrintzis,et al. Combining geographic information system, multicriteria evaluation techniques and fuzzy logic in siting MSW landfills , 2006 .
[23] Giorgos Mountrakis,et al. Developing a multi-network urbanization model: A case study of urban growth in Denver, Colorado , 2011, Int. J. Geogr. Inf. Sci..
[24] Emiliano Ferreira Castejon,et al. Using neural networks and cellular automata for modelling intra‐urban land‐use dynamics , 2008, Int. J. Geogr. Inf. Sci..
[25] Fabio Del Frate,et al. Use of Neural Networks for Automatic Classification From High-Resolution Images , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[26] B. Pijanowski,et al. Using neural networks and GIS to forecast land use changes: a Land Transformation Model , 2002 .
[27] Xia Bei-cheng,et al. Spatial heterogeneity of urban land-cover landscape in Guangzhou from 1990 to 2005 , 2009 .
[28] J. Qi,et al. Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization , 2009 .
[29] J. Klaus,et al. The relative dominance hypothesis explains interaction dynamics in mixed species Alnus rubra/Pseudotsuga menziesii stands , 2004 .
[30] Tobia Lakes,et al. Cropland change in southern Romania: a comparison of logistic regressions and artificial neural networks , 2009, Landscape Ecology.
[31] Karen C. Seto,et al. Using the ART-MMAP neural network to model and predict urban growth : a spatiotemporal data mining approach , 2008 .
[32] Philip J. Burton,et al. Some limitations inherent to static indices of plant competition , 1993 .
[33] Philip H. Page,et al. Complexity theory, spatial simulation models, and land use dynamics in the Northern Ecuadorian Amazon , 2008 .
[34] Xia Li,et al. Simulating complex urban development using kernel-based non-linear cellular automata , 2008 .
[35] Morton J. Canty,et al. Boosting a fast neural network for supervised land cover classification , 2009, Comput. Geosci..
[36] R. Congalton,et al. Accuracy assessment: a user's perspective , 1986 .
[37] Taskin Kavzoglu,et al. Increasing the accuracy of neural network classification using refined training data , 2009, Environ. Model. Softw..
[38] C. Dormann. Assessing the validity of autologistic regression , 2007 .
[39] R. Costanza. MODEL GOODNESS OF FIT: A MULTIPLE RESOLUTION PROCEDURE , 1989 .
[40] Yogesh Kumar,et al. Urbanization and Quality of Urban Environment Using Remote Sensing and GIS Techniques in East Delhi-India , 2011, J. Geogr. Inf. Syst..
[41] Helen Couclelis,et al. From Cellular Automata to Urban Models: New Principles for Model Development and Implementation , 1997 .
[42] J. Malczewski,et al. Ordered weighted averaging with fuzzy quantifiers: GIS-based multicriteria evaluation for land-use suitability analysis , 2006 .
[43] Paul E. Gessler,et al. Integrating Landsat TM and SRTM-DEM derived variables with decision trees for habitat classification and change detection in complex neotropical environments , 2008 .
[44] Apostolos Lagarias,et al. Fractal analysis of the urbanization at the outskirts of the city: Models, measurement and explanation , 2006 .
[45] Jianguo Liu,et al. Integrating landscape ecology into natural resource management , 2002 .
[46] A. Sebastián-López,et al. Integration of socio-economic and environmental variables for modelling long-term fire danger in Southern Europe , 2008, European Journal of Forest Research.
[47] J. Chan,et al. Detecting the nature of change in an urban environment : A comparison of machine learning algorithms , 2001 .
[48] John W. Crawford,et al. An Efficient Markov Chain Model for the Simulation of Heterogeneous Soil Structure , 2004 .
[49] Nafis Sadik,et al. The state of world population. , 1995 .
[50] Michael Batty,et al. Agents, Cells, and Cities: New Representational Models for Simulating Multiscale Urban Dynamics , 2005 .
[51] R. Hobbs,et al. Key issues and research priorities in landscape ecology: An idiosyncratic synthesis , 2002, Landscape Ecology.
[52] Robert K Swihart,et al. Forecasting the Effects of Land-Use Change on Forest Rodents in Indiana , 2009, Environmental management.
[53] Li Zhang,et al. Spatiotemporal analysis of rural–urban land conversion , 2009, Int. J. Geogr. Inf. Sci..
[54] Xiang Li,et al. A Spatial Entropy‐Based Decision Tree for Classification of Geographical Information , 2006, Trans. GIS.
[55] Richard Aspinall,et al. Modelling land use change with generalized linear models--a multi-model analysis of change between 1860 and 2000 in Gallatin Valley, Montana. , 2004, Journal of environmental management.
[56] H. Briassoulis. Analysis of Land Use Change: Theoretical and Modeling Approaches , 2000 .
[57] Parvatham Venkatachalam,et al. Neural Network Based Cellular Automata Model for Dynamic Spatial Modeling in GIS , 2009, ICCSA.
[58] Anthony Gar-On Yeh,et al. Analyzing spatial restructuring of land use patterns in a fast growing region using remote sensing and GIS , 2004 .
[59] Deborah E. Goldberg,et al. NEIGHBORHOOD COMPETITION IN AN OLD-FIELD PLANT COMMUNITY' , 1987 .
[60] P. Shi,et al. Modelling dynamic urban expansion processes incorporating a potential model with cellular automata , 2008 .
[61] Dean L. Urban,et al. Spatially varying rules of landscape change: lessons from a case study , 2006 .
[62] Mahdi Zarghami,et al. Fuzzy quantifiers in sensitivity analysis of OWA operator , 2008, Comput. Ind. Eng..
[63] E. Irwin,et al. New Directions for Urban Economic Models of Land Use Change: Incorporating Spatial Dynamics and Heterogeneity , 2010 .
[64] Reinaldo Lorandi,et al. Geospatial Analysis of Geotechnical Data Applied to Urban Infrastructure Planning , 2010, J. Geogr. Inf. Syst..
[65] Stuart L. Barr,et al. A Region-Based, Graph-Theoretic Data Model for the Inference of Second-Order Thematic Information from Remotely-Sensed Images , 1997, Int. J. Geogr. Inf. Sci..
[66] D. Marceau,et al. Simulating the impact of forest management scenarios in an agricultural landscape of southern Quebec, Canada, using a geographic cellular automata , 2007 .
[67] A. Veldkamp,et al. Introduction to the Special Issue on Spatial modeling to explore land use dynamics , 2005, Int. J. Geogr. Inf. Sci..
[68] Jacob Cohen. A Coefficient of Agreement for Nominal Scales , 1960 .
[69] William Rand,et al. Path dependence and the validation of agent‐based spatial models of land use , 2005, Int. J. Geogr. Inf. Sci..
[70] Stuart L. Barr,et al. A Spatial Structural and Statistical Approach to Building Classification of Residential Function for City-Scale Impact Assessment Studies , 2009, ICCSA.
[71] Kurt H. Riitters,et al. A multi-scale method of mapping urban influence , 2009, Environ. Model. Softw..
[72] Yansui Liu,et al. Spatial heterogeneity of urban land-cover landscape in Guangzhou from 1990 to 2005 , 2009 .
[73] C. Lahariya. The state of the world population 2007: unleashing the potential of urban growth. , 2008, Indian pediatrics.
[74] Russell G. Congalton,et al. A review of assessing the accuracy of classifications of remotely sensed data , 1991 .
[75] Annika Kangas,et al. Localizing general models with classification and regression trees , 2008 .
[76] Keith C. Clarke,et al. The role of spatial metrics in the analysis and modeling of urban land use change , 2005, Comput. Environ. Urban Syst..
[77] Mohammad Javad Yazdanpanah,et al. URBAN EXPANSION SIMULATION USING GEOSPATIAL INFORMATION SYSTEM AND ARTIFICIAL NEURAL NETWORKS , 2009 .
[78] Keith C. Clarke,et al. An Artificial-Neural-Network-based, Constrained CA Model for Simulating Urban Growth , 2005 .