Metadata-Version: 2.1
Name: pyPhenology
Version: 0.7.1
Summary: Plant phenology models in python
Home-page: https://github.com/sdtaylor/pyPhenology
Author: Shawn Taylor
License: MIT
Description: 
        # pyPhenology  
        pyPheonology is a software package for building plant phenology models. It has
        numpy at it’s core, making model building and prediction extremely fast. The
        core code was written to model phenology observations from the National
        Phenology Network, where abundant species have several thousand observations.
        The API is inspired by scikit-learn, so all models can work interchangeably
        with the same code. pyPhenology is currently used to build the continental
        scale phenology forecasts on http://phenology.naturecast.org
        
        ## Full documentation  
        
        [http://pyphenology.readthedocs.io/en/master/](http://pyphenology.readthedocs.io/en/master/)
        
        
        ## Installation
        Requires: scipy, pandas, joblib, and numpy
        
        Install via pip
        
        ```
        pip install pyPhenology
        ```
        
        Or install the latest version from Github  
        
        ```
        pip install git+git://github.com/sdtaylor/pyPhenology
        ```
        
        ## Get in touch
        See the [GitHub Repo](https://github.com/sdtaylor/pyPhenology) to see the 
        source code or submit issues and feature requests.
        
        ## Citation
        
        If you use this software in your research please cite it as:
        
        Taylor, S. D. (2018). pyPhenology: A python framework for plant phenology 
        modelling. Journal of Open Source Software, 3(28), 827. https://doi.org/10.21105/joss.00827
        
        Bibtex:
        ```
        @article{Taylor2018,
        author = {Taylor, Shawn David},
        doi = {10.21105/joss.00827},
        journal = {Journal of Open Source Software},
        mendeley-groups = {Software/Data},
        month = {aug},
        number = {28},
        pages = {827},
        title = {{pyPhenology: A python framework for plant phenology modelling}},
        url = {http://joss.theoj.org/papers/10.21105/joss.00827},
        volume = {3},
        year = {2018}
        }
        
        ```
        
        ## Acknowledgments
        
        Development of this software was funded by
        [the Gordon and Betty Moore Foundation's Data-Driven Discovery Initiative](http://www.moore.org/programs/science/data-driven-discovery) through
        [Grant GBMF4563](http://www.moore.org/grants/list/GBMF4563) to Ethan P. White.
        
        
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