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Manual for Spy4Cast, a Python Tool for statistical seasonal forecast based in maximum covariance analysis

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Spy4CastManual

Spy4Cast is an open-source python implementation of a maximum convariance analysis (MCA) statistical model.

In this manual we explain the steps to take to install and run for the first time this model.

Full documentation is available at https://spy4cast-docs.netlify.app

Link to GitHub repository with the latest code: https://github.com/pabloduran016/Spy4CastManual

Installation

You have to have installed git (Install Git https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)

You have to have installed anaconda (Install Anaconda https://docs.anaconda.com/anaconda/install/index.html)

    $ conda create -n <your-env-name> python=3.9
    $ conda activate <your-env-name>
    (<your-env-name>) $ conda install pip
    (<your-env-name>) $ conda install cartopy
    (<your-env-name>) $ pip install git+https://github.com/pabloduran016/Spy4Cast

Cartopy has to be installed with conda because pip version does not work

Usage

For usage example look at file EquatorialAtlantic_Impact_Nino.py in this repository.

How to cite this material

DOI: https://10.5281/zenodo.8162066

BibTex:

@software{duran_fonseca_pablo_2023_8219489,
  author       = {Duran-Fonseca, Pablo and
                  Rodriguez-Fonseca, Belen},
  title        = {Spy4CastManual},
  month        = aug,
  year         = 2023,
  publisher    = {Zenodo},
  version      = {1.0.0},
  doi          = {10.5281/zenodo.8219489},
  url          = {https://doi.org/10.5281/zenodo.8219489}
}

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Manual for Spy4Cast, a Python Tool for statistical seasonal forecast based in maximum covariance analysis

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