کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
506793 865040 2016 6 صفحه PDF ندارد دانلود رایگان
عنوان انگلیسی مقاله
Spectral analysis of time series of categorical variables in earth sciences
ترجمه فارسی عنوان
تجزیه و تحلیل طیفی از سری زمانی متغیرهای قطعی در علوم زمین
کلمات کلیدی
دسته بندی ها؛ متغیر شاخص؛ Ichnofabric
Categories; Spectral envelope; Indicator variable; Ichnofabric
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• We deal with the spectral analysis of categorical time series.
• The proposed full indicator approach is exact and easy to interpret.
• We illustrate the case study with a nominal variable: a time series of itchnofabrics.

Time series of categorical variables often appear in Earth Science disciplines and there is considerable interest in studying their cyclic behavior. This is true, for example, when the type of facies, petrofabric features, ichnofabrics, fossil assemblages or mineral compositions are measured continuously over a core or throughout a stratigraphic succession. Here we deal with the problem of applying spectral analysis to such sequences. A full indicator approach is proposed to complement the spectral envelope often used in other disciplines. Additionally, a stand-alone computer program is provided for calculating the spectral envelope, in this case implementing the permutation test to assess the statistical significance of the spectral peaks. We studied simulated sequences as well as real data in order to illustrate the methodology.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 95, October 2016, Pages 99–104
نویسندگان
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