.. include:: links.rst .. _analysis: Analysis ======== 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. * For R: `lipdR`_ * For Python: `PyLiPD`_ * `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 :ref:`Gallery ` for examples of fully executable notebooks.