Open source software¶
The LinkedEarth team currently maintain the following open source packages:
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.
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.