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A python code for automatic construction of Fischer plots using proxy data.

Daming Yang1,2, Yongjian Huang3,4, Zongyang Chen1,2

  • 1State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing, 100083, China.

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|May 19, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces PyFISCHERPLOT, an open-source Python code for automating the creation of Fischer plots from paleoenvironmental proxy data. This tool simplifies the analysis of sea- and lake-level changes, overcoming manual limitations.

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Area of Science:

  • Paleoenvironmental research
  • Geological sciences
  • Data science applications in Earth sciences

Background:

  • Fischer plots are crucial for visualizing sea- and lake-level fluctuations.
  • Paleoenvironmental proxy data, like natural gamma-ray logs, contain valuable cyclic signals.
  • Manual cycle counting for Fischer plots is time-consuming and labor-intensive.

Purpose of the Study:

  • To introduce an open-source Python code, PyFISCHERPLOT, for automated Fischer plot construction.
  • To facilitate batch processing of paleoenvironmental proxy data for Fischer plot generation.
  • To provide a more efficient method for analyzing cyclic signals in geological data.

Main Methods:

  • Development of an original open-source Python code (PyFISCHERPLOT).
  • Utilizing paleoenvironmental proxy data series (e.g., natural gamma-ray logs).
  • Automated cycle detection and Fischer plot mapping.

Main Results:

  • PyFISCHERPLOT enables batch construction of Fischer plots.
  • The code streamlines the analysis of sea- and lake-level changes from proxy data.
  • Demonstration of the code's principle, data processing, and application cases.

Conclusions:

  • PyFISCHERPLOT offers an efficient alternative to manual methods for Fischer plot construction.
  • The code enhances the accessibility and utility of paleoenvironmental proxy data for sea-level studies.
  • The open-source nature promotes wider adoption and further development in paleoenvironmental research.