کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6921972 864894 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling the effect of scale on clustering of spatial points
ترجمه فارسی عنوان
مدل سازی اثر مقیاس بر خوشه بندی نقاط فضایی
کلمات کلیدی
خوشه بندی نقاط فضایی، مقیاس فضایی، اصل طبیعی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
It has been established that spatial clustering patterns are scale-dependent. However, scale is still not explicitly handled in existing methods to detect clusters in spatial points; thus, users are often puzzled by the varied clustering results obtained by different spatial clustering methods and/or parameters. To handle the effect of scale on the cluster detection of spatial points, two kinds of scales are first specified in this study: scale of data and scale of analysis. These two kinds of scales are embodied by a set of three indictors: data resolution, spatial extent, and analysis resolution. Further, a scale-driven clustering model with these three scale indicators as parameters is statistically constructed based on the Natural Principle and graph theory. A comparative study of this scale-driven clustering model with existing methods is carried out with a simulated spatial dataset. It is found that only this new method is able to discover the multi-scale spatial clustering patterns defined in the benchmarks. Further, Carex lasiocarpa population data is used to illustrate the practical value of the proposed scale-driven clustering model.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers, Environment and Urban Systems - Volume 52, July 2015, Pages 81-92
نویسندگان
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