Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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  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.  studied simulated sequences as ll as real data in order to illustrate the methodology.  deal with the spectral analysis of categorical time series.The proposed full indicator approach is exact and easy to interpret. illustrate the case study with a nominal variable: a time series of itchnofabrics.
['Eulogio Pardo-Igúzquiza', 'Francisco J. Rodríguez-Tovar', 'Javier Dorador']
I am writing a research paper on a idea Spectral analysis of time series of categorical variables in earth sciences
[{"from": "human", "value": "I am writing a research paper on a idea Spectral analysis of time series of categorical variables in earth sciences"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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  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.  studied simulated sequences as ll as real data in order to illustrate the methodology.  deal with the spectral analysis of categorical time series.The proposed full indicator approach is exact and easy to interpret. illustrate the case study with a nominal variable: a time series of itchnofabrics."}]