Modeling Agricultural Change through Logistic Regression and Cellular Automata: A Case Study on Shifting Cultivation
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چکیده
منابع مشابه
Modeling Agricultural Change through Logistic Regression and Cellular Automata: A Case Study on Shifting Cultivation
Agricultural expansion is one of the prime driving forces of global land cover change. Despite the increasing attention to the factors that cause it, the patterns and processes associated with indigenous cultivation systems are not well understood. This study analyzes agricultural change associated with subsistence-based indigenous production systems in the lower Pastaza River Basin in the Ecua...
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Cities are growing and encountering many changes over time due to population growth and migration. Identification and detection of these changes play important roles in urban management and sustainable development. Urban growth models are divided into two main categories: first cellular models which are further divided into experimental, dynamic, and integrated models and second vector models. ...
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In this paper we will rst discuss computer simulations of social processes as models of qualitative understanding. In the second part of the paper we will present the cellular automata model of dynamic social impact (Nowak et al. 1990) and its applications in the areas of the formation of public opinion and social change as an example of a model of qualitative understanding. As computer simulat...
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15 صفحه اولAnalysis of urban growth pattern using logistic regression modeling, spatial autocorrelation and fractal analysis Case study: Ahvaz city
Transformation of land use-land cover change occurs due to the numbers and activities of people. Urban growth modeling has attracted authentic attention because it helps to comprehend the mechanisms of land use change and thus helps relevant policies made. This study applied logistic regression to model urban growth in the Ahvaz Metropolitan Area of Khuzestan province in IDRISI Selva software a...
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ژورنال
عنوان ژورنال: Journal of Geographic Information System
سال: 2014
ISSN: 2151-1950,2151-1969
DOI: 10.4236/jgis.2014.63021