Understanding urban development types and drivers in Wallonia: a multi-density approach
暂无分享,去创建一个
Mario Cools | Jacques Teller | Ismaïl Saadi | Ahmed M. Mustafa | J. Teller | M. Cools | Ismaïl Saadi
[1] C. Dormann. Assessing the validity of autologistic regression , 2007 .
[2] Xijun Yu,et al. Modelling urban expansion using a multi agent-based model in the city of Changsha , 2010 .
[3] Mark Brussel,et al. Logistic regression and cellular automata-based modelling of retail, commercial and residential development in the city of Ahmedabad, India , 2014 .
[4] R. Pontius,et al. Modeling Land-Use and Land-Cover Change , 2006 .
[5] H. Spencer Banzhaf,et al. Can the Land Tax Help Curb Urban Sprawl? Evidence from Growth Patterns in Pennsylvania , 2010 .
[6] Abduwasit Ghulam,et al. Drivers of land cover and land use changes in St. Louis metropolitan area over the past 40 years characterized by remote sensing and census population data , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[7] E. Lambin,et al. Proximate causes of land-use change in Narok District, Kenya: a spatial statistical model , 2001 .
[8] Xiangzheng Deng,et al. Comparison of multinomial logistic regression and logistic regression: which is more efficient in allocating land use? , 2014, Frontiers of Earth Science.
[9] K. Clarke,et al. Diffusion and Coalescence of the Houston Metropolitan Area: Evidence Supporting a New Urban Theory , 2005 .
[10] Hal H. Winsborough,et al. CITY GROWTH AND CITY STRUCTURE , 1962 .
[11] Isabelle Thomas,et al. Defining and characterizing urban boundaries: A fractal analysis of theoretical cities and Belgian cities , 2013, Comput. Environ. Urban Syst..
[12] Paul Schot,et al. Land use change modelling: current practice and research priorities , 2004 .
[13] Andreas Rienow,et al. Supporting SLEUTH - Enhancing a cellular automaton with support vector machines for urban growth modeling , 2015, Comput. Environ. Urban Syst..
[14] Johannes Flacke,et al. Simulating informal settlement growth in Dar es Salaam, Tanzania: An agent-based housing model , 2011, Comput. Environ. Urban Syst..
[15] Jianyu Yang,et al. Simulation of land use spatial pattern of towns and villages based on CA-Markov model , 2011, Math. Comput. Model..
[16] Mohsen Ahadnejad Reveshty,et al. Integrating cellular automata, artificial neural network, and fuzzy set theory to simulate threatened orchards: application to Maragheh, Iran , 2016 .
[17] Alain Bonnafous,et al. Urban simulation with alternative road pricing scenarios , 2015 .
[18] Xiaoping Liu,et al. Simulating urban growth by integrating landscape expansion index (LEI) and cellular automata , 2014, Int. J. Geogr. Inf. Sci..
[19] Chang-hua Liu,et al. Analysis to driving forces of land use change in Lu'an mining area , 2011 .
[20] X. Yu,et al. Spatial and temporal dynamics of urban sprawl along two urban–rural transects: A case study of Guangzhou, China , 2007 .
[21] Xiaodong Zhu,et al. Characterizing growth types and analyzing growth density distribution in response to urban growth patterns in peri-urban areas of Lianyungang City , 2012 .
[22] J. H. Schuenemeyer,et al. Statistical Methods For Geographers , 1986 .
[23] Cheng Sun,et al. Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data , 2013, Int. J. Appl. Earth Obs. Geoinformation.
[24] Annegret H. Thieken,et al. Spatio-temporal dynamics in the flood exposure due to land use changes in the Alpine Lech Valley in Tyrol (Austria) , 2013, Natural Hazards.
[25] David W. Hosmer,et al. Applied Logistic Regression , 1991 .
[26] Lihong Chen,et al. Spatiotemporal variation analysis of driving forces of urban land spatial expansion using logistic regression: A case study of port towns in Taicang City, China , 2014 .
[27] C. Woodcock,et al. Compact, Dispersed, Fragmented, Extensive? A Comparison of Urban Growth in Twenty-five Global Cities using Remotely Sensed Data, Pattern Metrics and Census Information , 2008 .
[28] Michael P. Prisloe,et al. Development of a geospatial model to quantify, describe and map urban growth , 2003 .
[29] A. Braimoh,et al. Spatial determinants of urban land use change in Lagos, Nigeria , 2007 .
[30] Jianguo Wu,et al. A gradient analysis of urban landscape pattern: a case study from the Phoenix metropolitan region, Arizona, USA , 2004, Landscape Ecology.
[31] J. Brueckner. Lectures on Urban Economics , 2011 .
[32] Zhiyong Hu,et al. Modeling urban growth in Atlanta using logistic regression , 2007, Comput. Environ. Urban Syst..
[33] A. Rompaey,et al. Urban growth of Kampala, Uganda: Pattern analysis and scenario development , 2012 .
[34] Perver K. Baran,et al. Suburban change: A time series approach to measuring form and spatial configuration , 2013 .
[35] Peter H. Verburg,et al. Predictive ability of logistic regression, auto-logistic regression and neural network models in empirical land-use change modeling – a case study , 2011, Int. J. Geogr. Inf. Sci..
[36] Yan Liu,et al. Modeling dynamic urban growth using cellular automata and particle swarm optimization rules , 2011 .
[37] Hossein Shafizadeh-Moghadam,et al. Spatiotemporal variability of urban growth factors: A global and local perspective on the megacity of Mumbai , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[38] Richard Tay,et al. Support vector machines for urban growth modeling , 2010, GeoInformatica.
[39] F. Meza,et al. Assessing spatial dynamics of urban growth using an integrated land use model. Application in Santiago Metropolitan Area, 2010-2045 , 2014 .
[40] M. Batty,et al. Modeling urban dynamics through GIS-based cellular automata , 1999 .
[41] Janet Scheel,et al. Spatiotemporal Dynamics , 2017, Encyclopedia of GIS.
[42] Javier Asensio. The success story of Spanish suburban railways: determinants of demand and policy implications , 2000 .
[43] Lien Poelmans. Modelling urban expansion and its hydrological impacts. , 2010 .
[44] Jiang Fang,et al. Measuring urban sprawl in Beijing with geo-spatial indices , 2007 .
[45] Sandeep Maithani,et al. Modelling urban growth in the Indo-Gangetic plain using nighttime OLS data and cellular automata , 2014, Int. J. Appl. Earth Obs. Geoinformation.
[46] Mario Cools,et al. Measuring the Effect of Stochastic Perturbation Component in Cellular Automata Urban Growth Model , 2014 .
[47] Carlo Lavalle,et al. Urban land use scenarios for a tourist region in Europe: Applying the MOLAND model to Algarve, Portugal , 2009 .
[48] Shuangzhe Liu,et al. Regression diagnostics , 2020, Applied Quantitative Analysis for Real Estate.
[49] A. Yeh,et al. A Cellular Automata Model to Simulate Development Density for Urban Planning , 2002 .
[50] P. Waddell. UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning , 2002 .
[51] H. Briassoulis. Analysis of Land Use Change: Theoretical and Modeling Approaches , 2000 .
[52] Lien Poelmans,et al. Complexity and performance of urban expansion models , 2010, Comput. Environ. Urban Syst..
[53] Peter E. Kennedy. A Guide to Econometrics , 1979 .
[54] Hong Yuan,et al. Measuring urban sprawl in Beijing with geo-spatial indices , 2007 .
[55] Xiaoma Li,et al. Forty years of urban expansion in Beijing: What is the relative importance of physical, socioeconomic, and neighborhood factors? , 2013 .
[56] X. Yang,et al. Spatial-temporal pattern and driving forces of land use changes in Xiamen , 2006 .
[57] ZhangChao,et al. Simulation of land use spatial pattern of towns and villages based on CA-Markov model , 2011 .
[58] Mario Cools,et al. Modelling Uncertainties in Long-Term Predictions of Urban Growth: A Coupled Cellular Automata and Agent-Based Approach , 2015 .
[59] S. An,et al. The spatiotemporal dynamics of rapid urban growth in the Nanjing metropolitan region of China , 2007, Landscape Ecology.
[60] I. Masser,et al. Urban growth pattern modeling: a case study of Wuhan city, PR China , 2003 .
[61] Benjamin Dewals,et al. Impacts of urban expansion on future flood damage: A case study in the River Meuse basin, Belgium , 2016 .