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Land use and land cover change has become an important problem in many countries. These changes have direct impacts on component of environment like soil, water and atmosphere and land use changes are key elements in studying global environmental changes. Modeling and simulation of land use changes have an important role in resources management and helps managers to better planning of land use. This research firstly investigated the synthetic method of land use classification in the Ramian city, South of Golestan province. Then land use change between years 2000 and 2012 was determined using remote sensing technique. Land use demand calculated using extrapolating past changes of land use. The rule of effective factors on land use was investigated using logistic regression. Finally land use patterns in Ramian was simulated for the year 2030 from the actual land use data for the year 2000 and the year 2012, respectively, by spatial land allocation of CLUE-s model. The results showed that synthetic classification is a suitable method to prepare land use map. Our findings also showed that the main land use changes in Ramian were the conversion of forest and rangeland areas to agriculture and residential land. Effective information regarding future land use provides useful tools for decision making in land use planning, management and policies.

Keywords: Landuse, Logistic regression, Land use demand, CLUE-s mode, Ramian City

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