Metadata-Version: 2.1
Name: hydrostats
Version: 0.74
Summary: Tools for use in comparison studies, specifically for use in the field of hydrology
Home-page: https://github.com/waderoberts123/hydrostats
Author: Wade Roberts
Author-email: waderoberts123@gmail.com
License: MIT
Download-URL: https://github.com/waderoberts123/Hydrostats/archive/0.74.tar.gz
Description: [![Build Status](https://travis-ci.org/BYU-Hydroinformatics/Hydrostats.svg?branch=master)](https://travis-ci.org/BYU-Hydroinformatics/Hydrostats)
        [![codecov](https://codecov.io/gh/BYU-Hydroinformatics/Hydrostats/branch/master/graph/badge.svg)](https://codecov.io/gh/BYU-Hydroinformatics/Hydrostats)
        
        Tools for use in comparison studies, specifically for use in the field of hydrology
        
        - **Documentation:** https://BYU-Hydroinformatics.github.io/Hydrostats/
        - **Source:** https://github.com/BYU-Hydroinformatics/Hydrostats
        - **Bug reports:** https://github.com/BYU-Hydroinformatics/Hydrostats/issues
        
        Hydrostats provides:
        
        - Preprocessing Tools
        - Visualization Tools
        - Access to over 70 error metrics through the [HydroErr package](https://github.com/BYU-Hydroinformatics/HydroErr) dependency
        - A library of relevant metrics to measure forecast skill
        
        Publications:
        - Roberts, W., Williams, G., Jackson, E., Nelson, E., Ames, D., 2018. Hydrostats: A Python Package for Characterizing Errors between Observed and Predicted Time Series. Hydrology 5(4) 66, doi:10.3390/hydrology5040066
        
        We would request that if you use this package that you please cite the above paper. The journal paper is open access and can be found at https://doi.org/10.3390/hydrology5040066. BibTeX, EndNote, and RIS files can be downloaded at the journal site.
        
        [![Powered by BYU Hydroinformatics](https://img.shields.io/badge/powered%20by-BYU%20HydroInformatics-blue.svg)](http://worldwater.byu.edu/)
        
Keywords: hydrology,error,metrics,comparison,statistics,forecast,observed
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
