Open source software

The LinkedEarth team currently maintain the following open source packages:

  • Utilities that enable users to open, manipulate, and write files using the Linked Paleo Data (LiPD) format.
  • GeoChronR: an integrated framework in R that allows scientists to generate state-of-the-art age models for their records, create time-uncertain ensembles of their data, analyze those ensembles with a number of commonly-used techniques, and visualize their results in an intuitive way.

  • Pyleoclim: a Python package designed for the analysis of paleoclimate data. Pyleoclim leverages various data science libraries (numpy, pandas, scikit-learn) for time series analysis, as well as and Matplotlib and Cartopy for the creation of publication-quality figures. The package is designed around object-oriented Series, which can be directly manipulated for plotting, spectral and wavelet analysis, and other time series-appropriate operations.

Both GeoChronR and Pyleoclim natively “speaks” the language of LiPD.

Computational Narratives

  • We have a library of Jupyter Notebooks illustrating the use of Pyleoclim in paleoclimate research.

  • We maintain a a compendium of digital resources called PaleoBooks to bridge the gap between paleoclimate observations and models.

  • R vignettes are available from the GeoChronR Github repository.

  • autoTS: an automated system for time series analysis.

  • ClimateDISK: a framework to test and revise hypotheses based on automatic analysis of scientific data as it becomes available over time.

See our Gallery for examples of fully executable notebooks.