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A New Approach for the Comparative Analysis of Multiprotein Complexes Based on 15N Metabolic Labeling and Quantitative Mass Spectrometry
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Analyzing and comparing complex environmental time series using a cumulative sums approach.

Peter Regier1, Henry Briceño2, Joseph N Boyer3

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|April 25, 2019
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Summary

Cumulative sums (Cusums) offer a robust statistical method for analyzing environmental time series. This approach effectively reveals trends, patterns, and thresholds, even with complex data challenges.

Keywords:
Applying cumulative sums to environmental dataCumulative sumsDriver-responseEverglades restorationNutrientsTime seriesWater management

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Area of Science:

  • Environmental Science
  • Statistics
  • Data Analysis

Background:

  • Cumulative sums (Cusums) are established statistical tools for process control.
  • Their application is expanding to uncover hidden patterns in time series data.
  • Environmental time series often present complexities that challenge traditional analysis.

Purpose of the Study:

  • To present two novel applications of Cusums for environmental time series analysis.
  • To explore the utility of Cusums in understanding driver-response relationships.
  • To assess the robustness of the Cusum transform against common time series issues.

Main Methods:

  • Application of Cusum methods in the time domain.
  • Plotting Cusum-transformed variables against non-transformed variables.
  • Investigating the impact of time series characteristics on Cusum analysis.

Main Results:

  • Cusum analysis successfully extracts meaningful trends, patterns, and thresholds from environmental data.
  • The method demonstrates value in identifying relationships between environmental drivers and responses.
  • The robustness of the Cusum transform was evaluated against various data challenges.

Conclusions:

  • Cusum methods provide a simple yet powerful approach to interpreting complex environmental time series.
  • These techniques offer valuable insights into temporal dynamics and driver-specific impacts.
  • The study validates Cusums as a reliable tool for environmental data analysis.