کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7496377 | 1485778 | 2018 | 18 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Disaggregating statistical data at the field level: An entropy approach
ترجمه فارسی عنوان
تجزیه آماری داده ها در سطح مزرعه: رویکرد آنتروپی
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
علوم زمین و سیاره ای (عمومی)
چکیده انگلیسی
This paper provides an alternative approach to disaggregating agricultural data concerning land-use at the detailed pixel level. The proposed approach combines several techniques, such as Hj-Biplot, cluster analysis, dasymetric mapping and cross-entropy, and it is implemented in two steps. First, prior information is estimated based on the application of a HJ-Biplot and cluster analysis and using a dasymetric mapping methodology. Then, the estimated prior information is used in a cross-entropy model to disaggregate data at the pixel level in a context of incomplete information. This approach is applied to the Algarve region in southern Portugal. The results show a significant correlation between observed and estimated land-uses and are relevant in terms of information gains.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Spatial Statistics - Volume 23, March 2018, Pages 91-108
Journal: Spatial Statistics - Volume 23, March 2018, Pages 91-108
نویسندگان
António Xavier, Maria de Belém Costa Freitas, Maria do Socorro Rosário, Rui Fragoso,