کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
392858 665182 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Estimating spatial logistic model: A deterministic approach or a heuristic approach?
ترجمه فارسی عنوان
برآورد مدل لجستیک فضایی: یک رویکرد قطعی یا یک رویکرد اکتشافی؟
کلمات کلیدی
مدل رگرسیون لجستیک، نمونه برداری فضایی و فیلتر کردن، روش نیوتن-رافسون، الگوریتم ژنتیک، استفاده از زمین
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

This paper evaluates the performance of a deterministic method (Newton–Raphson, NR) and a heuristic method (Genetic Algorithm, GA) for solving the maximum likelihood estimation in spatial logistic analysis. A spatial logistic regression model equipped with a filtering process is formulated to examine the relationship between land use change and various spatial determinants such as population density, distance to road, distance to commercial center and neighborhood characteristics. Geographic Information System (GIS) is used to acquire spatial samples and perform spatial analysis. The NR method and GA are utilized, respectively, to estimate the coefficients that maximize the likelihood of the spatial logistic regression model. Both methods are compared in terms of the maximum likelihood and computing time. The experimental results show that the NR method can achieve a better likelihood and is also much faster than the GA method. Therefore, the NR method is recommended for estimating a spatial logistic regression model although GA can also be employed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 330, 10 February 2016, Pages 358–369
نویسندگان
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