Simulating the Expansion of Built-Up Areas using the Models of Logistic Regression, Artificial Neural Network, and Geo-Mod in Marivan City, Iran

Application of geospatial techniques and binary logistic regression model for analyzing driving factors of urban growth in Bahir Dar city, Ethiopia

“…Land use land cover change in urban areas has significantly increased in the past decades due to rapid urban growth [ 12 , 13 ]. Therefore, different land cover classes such as forests, farms, mountain ranges and water bodies have changed into urban areas and infrastructures [ 14 , 15 ] (see Table 10 ).…”

“…Models may be the most effective tools for comprehending changes in land use and land cover as well as for careful planning to improve the management of cities and towns [ 32 , 38 ]. Rapid developments in modeling have made it possible to simulate and plan unique land use and land cover changes [ 14 , 39 , 40 ]. To model, predict and simulate urban growth and LULC changes, many scholars have employed various empirical and theoretical modeling techniques [ [41] , [42] , [43] , [44] ].…”