کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6962508 1452270 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops
ترجمه فارسی عنوان
ارزیابی دقت هشت طرح نمونه برداری فضایی در برآورد روش های منطقه ای عملکرد شبیه سازی شده برای دو محصول
کلمات کلیدی
مدل محصول، نمونه گیری تصادفی طبقه بندی شده، نمونه گیری تصادفی ساده، خوشه بندی مقیاس بالا مقایسه مدل، افزایش دقیق،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
چکیده انگلیسی
We compared the precision of simple random sampling (SimRS) and seven types of stratified random sampling (StrRS) schemes in estimating regional mean of water-limited yields for two crops (winter wheat and silage maize) that were simulated by fourteen crop models. We found that the precision gains of StrRS varied considerably across stratification methods and crop models. Precision gains for compact geographical stratification were positive, stable and consistent across crop models. Stratification with soil water holding capacity had very high precision gains for twelve models, but resulted in negative gains for two models. Increasing the sample size monotonously decreased the sampling errors for all the sampling schemes. We conclude that compact geographical stratification can modestly but consistently improve the precision in estimating regional mean yields. Using the most influential environmental variable for stratification can notably improve the sampling precision, especially when the sensitivity behavior of a crop model is known.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Modelling & Software - Volume 80, June 2016, Pages 100-112
نویسندگان
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