کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11024795 | 1701069 | 2019 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Pre-treatment of soil X-ray powder diffraction data for cluster analysis
ترجمه فارسی عنوان
پیش پردازش داده های پراش پودر اشعه ایکس خاک برای تجزیه و تحلیل خوشه ای
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کلمات کلیدی
کانی شناسی خاک، پراش پودر اشعه ایکس، آنالیز خوشه ای،
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
فرآیندهای سطح زمین
چکیده انگلیسی
A 24 factorial design was used to investigate the most effective data pre-treatment protocol for the cluster analysis of XRPD data from 12 African soils, each analysed once by five different personnel. Sample-independent effects of displacement error, noise and signal intensity variation were pre-treated using peak alignment, binning and scaling, respectively. The sample-dependent effect of strongly diffracting minerals overwhelming the signal of weakly diffracting minerals was pre-treated using a square-root transformation. Without pre-treatment, the 60 XRPD measurements failed to provide informative clusters. Pre-treatment via peak alignment, square-root transformation, and scaling each resulted in significantly improved partitioning of the groups (pâ¯<â¯0.05). Data pre-treatment via binning reduced the computational demands of cluster analysis, but did not significantly affect the partitioning (pâ¯>â¯0.1). Applying all four pre-treatments proved to be the most suitable protocol for both non-hierarchical and hierarchical cluster analysis. Deducing such a protocol is considered a prerequisite to the wider application of cluster analysis in exploring soil property - soil mineralogy relationships in larger datasets.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Geoderma - Volume 337, 1 March 2019, Pages 413-424
Journal: Geoderma - Volume 337, 1 March 2019, Pages 413-424
نویسندگان
Benjamin M. Butler, Andrew M. Sila, Keith D. Shepherd, Mercy Nyambura, Chris J. Gilmore, Nikolaos Kourkoumelis, Stephen Hillier,