احدنژاد روشتی، محسن و حسینی، سیداحمد (1390)، ارزیابی و پیشبینی تغییرات و پراکنش افقی شهرها با استفاده از تصاویر ماهوارهای چن زمانه و سیستم اطلاعات جغرافیایی (نمونه موردی: شهر تبریز در مطقع زمانی 1363-1389)، پژوهش و برنامهریزی شهری، 2(4)، 20-1.
حسینعلی، فرهاد؛ آلشیخ، علیاصغر و نوریان، فرشاد (1390)، توسعة مدلی عامل- مبنا برای شبیهسازی گسترش کاربری اراضی شهری(مطالعه موردی: قزوین)، مطالعات و پژوهشهای شهری و منطقهای، 4(4)، 1-22.
داداشپور، هاشم؛ جهانزاد، نریمان و جلیلی، هما (1395)، تحلیل و پیشبینی تحولات ساختار فضایی منطقه کلانشهری مشهد طی دوره 1375-1420، فصلنامه مطالعات شهری.18، 51-62.
داداشپور، هاشم و سالاریان، فردیس (1394الف )، تحلیل تأثیر عوامل جمعیتی و توسعه اراضی ساخته شده بر پراکندهرویی شهر- منطقه مرکزی مازندران، جغرافیا و توسعه ناحیهای، 24، 157-183.
داداشپور، هاشم و سالاریان، فردیس (1394ب)، تحلیل تأثیر پراکندهرویی بر تغییر کاربری زمین در منطقه شهری ساری، پژوهشهای جغرافیایی برنامهریزی شهری. 3(2)، 154-163.
زارعی، رضا و آلشیخ، علیاصغر (191)، مدلسازی توسعه شهری با استفاده از اتوماسیون سلولی و الگوریتم ژنتیک (منطقه مورد مطالعه: شهر شیراز)، پژوهش و برنامهریزی شهری.3(11): 1-16.
شیعه، اسماعیل و انامپور، محمد(1390)، پیادهسازی الگوریتمهای فازی مبتنی بر GIS در الگوهای نوین برنامهریزی برای تهیه برنامه گسترش کالبدی مناسب شهرهای میانه جمعیتی ایران (نمونه موردی: شهر خرمدره)، فصلنامه علمی-پژوهشی مطالعات شهری، شماره 1: 109-127.
Agarwal, A., Giuliano, G., Redfearn, & H., S. (2009), Network Accessibility and Employment Centers, Urban Studies, 49, 77-95.
Giuliano, G., Redfearn, C., Agarwal, A., & He, S. (2012), Network accessibility and employment centres. Urban Studies, 49(1), 77-95.
Al-shalabi, M., Biswajeet, P., Lawal, B., Shattri, M. & Omar, A. (2013), Manifestation of Remote Sensing Data in Modeling Urban Sprawl Using the SLEUTH Model. ISRS.41, 405-416.
Barredo, J. & Demicheli, L. (2003), Urban sustainability in developing countries’ megacities, modelling and predicting future urban growth in Lagos. Cities. 20, 297–310.
Basse, R., Omrani, H., Charif, O., Gerber, Ph. & Bodis, K. (2014), Land use changes modelling using advanced methods, Cellular automata and artificial neural networks. The spatial and explicit representation of land cover dynamics at the cross-border region scale. Applied Geography, 53, 160-171
Chaudhuri, G. & Clarke, K., (2013), The SLEUTH Land Use Change Model, A Review. International Journal of Environmental Resources Research, 89, 1-17.
Clark, J., Ronald, M., Darla, M. & Elena Irwin (2009), Spatial characteristics of exurban settlement pattern in the United States, Landscape and Urban Planning.90, 178-188.
Dadashpoor, H., & Salarian, F. (2018), Urban sprawl on natural lands, analyzing and predicting the trend of land use changes and sprawl in Mazandaran city region, Iran. Environment, Development and Sustainability, 1-22.
Dadashpoor, H., Azizi, P., & Moghadasi, M. (2019), Analyzing spatial patterns, driving forces and predicting future growth scenarios for supporting sustainable urban growth, Evidence from Tabriz metropolitan area, Iran. Sustainable Cities and Society, 47, 101502.
Dadashpoor, H. & Nateghi, M . (2017), Simulating spatial pattern of urban growth using GIS-based SLEUTH model, a case study of eastern corridor of Tehran metropolitan region, Iran. Environmental Development Sustainable. 19(2), 527-547.
Fang, J., Liu, Sh., Yuhan, h. & Zhang, Q. (2007), Measuring urban sprawl in Beijing with geo-spatial indices. Journal of Geographical Sciences, 10, 469-478
Gonzalez, P., Delgado, M. & Benavente, F. (2015), From raster to vector cellular automata models, A new approach to simulate urban growth with the help of graph theory. Computers, Environment and Urban Systems, 54, 119-131.
Greenhalgh, P. (2000), Mechanisms of urban change, Regeneration Companies or Development Corporations? Urban Regeneration Companie
Haase , D. (2010), Land use change modelling in an urban region with simultaneous population growth and shrinkage including planning and governance feedbacks. Brigham Young University.
Han, H., Hwang, Y., Ha, S. & Kim, B. (2015), Modeling Future Land Use Scenarios in South Korea, Applying the IPCC Special Report on Emissions Scenarios and the SLEUTH Model on a Local Scale. Environmental management.
He, Y., Ai, B., Yao, Y., & Zhong, F. (2015), Deriving urban dynamic evolution rules from self-adaptive cellular automata with multi-temporal remote sensing images. International Journal of Applied Earth Observation and Geoinformation, 38, 164-174.
He, Y., Ai, B., Yao, Y. & Zhong, F. (2015), Deriving urban dynamic evolution rules from self-adaptive cellular automata with multi-temporal remote sensing images. International Journal of Applied Earth Observation and Geoinformation, 38, 164-174.
Huang, J., Zhang, J. & Lu, X (2008), Applying SLEUTH for simulating and assessing urban growth scenario based on time series TM images, referencing to a case study of Chongqing China. The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, 37, 1-15.
Jantz, C., Drzyzga, S., & Maret, M. (2014). Calibrating and validating a simulation model to
identify drivers of urban land cover change in the Baltimore, MD metropolitan region. Land, 3(3), 1158-1179.
Jantz, C., Drzyzga, S. & Maret, M. (2014), Calibrating and Validating a Simulation Model to Identify Drivers of Urban Land Cover Change in the Baltimore MD Metropolitan Region. Land. 3, 1158-1179.
Jiang, F., Liu, S., Yuan, H., & Zhang, Q. (2007), Measuring urban sprawl in Beijing with geo-spatial indices. Journal of Geographical Sciences, 17(4), 469-478. Fang, Jiang, Liu Shenghe, Yuhan hong and Zhang Qing (2007), Measuring urban sprawl in Beijing with geo-spatial indices. Journal of Geographical Sciences, 10, 469-478.
Loibl, W., & Toetzer, T. (2003), Modeling growth and densification processes in suburban regions—simulation of landscape transition with spatial agents. Environmental Modelling & Software, 18(6), 553-563.
Loibl, W. & Ted T. (2003), Modeling growth and identification processes in suburban regions—simulation of landscape transition with spatial agents. Environmental Modelling & Software, 18 , 553–563.
Natale, V. & Junquera, Z (2015), Assessment of the Conservation Status of Natural and Semi-Natural Patches Associated with urban Areas Through Habitat Suitability Indices. International journal environmental research, 9, 495-504.
Natale, E. S., Villalba, G., Junquera, J. E., & Zalba, S. M. (2015). Assessment of the conservation status of natural and semi-natural patches associated with urban areas through habitat suitability indices.
Penteado, cC. (2014), Comparison of scenarios for the integrated management of construction and demolition waste by life cycle assessment, A case study in Brazil. , Waste Management & Research, 34, 146-162.
Reis, J. P., Silva, E. A., & Pinho, P. (2016), Spatial metrics to study urban patterns in growing and shrinking cities. Urban Geography, 37(2), 246-271.
Reis, J., Silva, E. & Pinho, P. (2015), Spatial metrics to study urban patterns in growing and shrinking cities. Urban geograohy, 37, 246-271.
Savage, L. & Lapping, M. (2003), Sprawl and Its Discontents, The Rural Dimension. In Suburban Sprawl, Culture, Theory, and Politicsed. M. Lindstrom and H. Bartling. Lanham, MD. Rowman and Littlefield.
Shahumyan, H. & Jankowski, P. (2010), Integration of the MOLAND Model with GeoChoicePerspectives Spatial Decision Support Software for Scenario Evaluation. International Conference on Geographic Information Science, Portugal.
Tang, Z., Engel, B., Pijanowski, B. & Lim, k. (2005), Forecasting land use change and its environmental impact at a watershed scale. Environmental Management. 76, 35-45.
Wu , Yue.(2008), Measuring sprawl in the United States. The State University of New Jersey.