Urban spatial growth modeling using logistic regression and cellular automata: A case study of Hangzhou
نویسندگان
چکیده
منابع مشابه
Analysis 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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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. ...
متن کاملanalysis 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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Urban modeling is an important tool for efficient policy designing. We herein present a methodological framework for urban modeling which attempts to access the multi-level urban growth dynamics and express them in linguistic terms. The suggested framework incorporates a set of fuzzy systems, each one of which focuses on different aspects of the urban growth dynamics, while the systems’ structu...
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ژورنال
عنوان ژورنال: Ecological Indicators
سال: 2020
ISSN: 1470-160X
DOI: 10.1016/j.ecolind.2020.106200