کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7478504 | 1485212 | 2018 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Deriving suitability factors for CA-Markov land use simulation model based on local historical data
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Deriving suitability factors for CA-Markov land use simulation model based on local historical data Deriving suitability factors for CA-Markov land use simulation model based on local historical data](/preview/png/7478504.png)
چکیده انگلیسی
Multiple Criteria Evaluation (MCE) is a multi-attributes decision making tool often used in land suitability analysis and land use simulation using Cellular Automata (CA)-Markov model. The goal of this research is to explore the feasibility of using historical data of a study area to select, score, and weight factors quantitatively in the MCE. We have developed logistic regression models fitted by the historical land use changes to select and score each potential factor, and used the Entropy method to determine weights for the selected factors. The MCE output is then used as the input of CA-Markov model to simulate land use changes from 2001 to 2011. The land use simulation result was compared against observed 2011 land use in order to examine the performance of the updated MCE method. The result shows that the use of MCE factors derived from historical data produces reasonable goodness of fit, based on current literature. The major advantage of the updated MCE method is that the factor selection, scores, and weights are all derived from local data reflecting the actual historical trend. This quantitative approach also allows one to efficiently calibrate CA-Markov model and develop different land use planning scenarios by adjusting scores and weights for different factors with the knowledge of historical change.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Environmental Management - Volume 206, 15 January 2018, Pages 10-19
Journal: Journal of Environmental Management - Volume 206, 15 January 2018, Pages 10-19
نویسندگان
Xin Fu, Xinhao Wang, Y. Jeffrey Yang,