Giter Site home page Giter Site logo

dblodgett-usgs / eflowstats Goto Github PK

View Code? Open in Web Editor NEW

This project forked from doi-usgs/eflowstats

0.0 1.0 0.0 16.63 MB

Calculates Hydrologic Indicator stats and fundamental properties of daily streamflow for a given set of data

License: Creative Commons Zero v1.0 Universal

R 100.00%

eflowstats's Introduction

EflowStats

Calculates a suite of ecological flow statistics and fundamental properties of daily streamflow for a given set of data.

Installation

To install the latest release of EflowStats see releases to find the latest version and use:

remotes::install_github("doi-usgs/[email protected]")

Code of Conduct

We want to encourage a warm, welcoming, and safe environment for contributing to this project. See the code of conduct for more information.

Reporting bugs

Please consider reporting bugs and asking questions on the Issues page.

Package Support

The Water Mission Area of the USGS has supported the development and maintenance of the EflowStats R-package. Further maintenance is expected to be stable until further notice. Resources are available primarily for maintenance and responding to user questions. Priorities on the development of new features are determined by the EflowStats development team.

USGS

USGS

Overview

The EflowStats package was created to simplify the process of generating hydrologic indicator statistics using daily streamflow records. It has been specifically designed to work seamlessly with U.S. Geological Survey (USGS) National Water Information System (NWIS) data. This package is intended to be an update of the previously existing USGS National Hydrologic Assessment Tool (NAHAT) program with additional statistics previously published by Archfield et al (Archfield).

References

Henriksen, J.A., Heasley, J. Kennen, J.G., and Nieswand, S., 2006, Users’ manual for the Hydroecological Integrity Assessment Process software (including the New Jersey Assessment Tools): U.S. Geological Survey Open-File Report 2006-1093. 72 p. (https://pubs.usgs.gov/of/2006/1093/report.pdf)

Archfield, S.A., J.G. Kennen, D.M. Carlisle, and D.M. Wolock. 2013. An Objective and Parsimonious Approach for Classifying Natural Flow Regimes at a Continental Scale. River Res. Applic. doi: 10.1002/rra.2710 (http://onlinelibrary.wiley.com/doi/10.1002/rra.2710/abstract)

Disclaimer

This software is preliminary or provisional and is subject to revision. It is being provided to meet the need for timely best science. The software has not received final approval by the U.S. Geological Survey (USGS). No warranty, expressed or implied, is made by the USGS or the U.S. Government as to the functionality of the software and related material nor shall the fact of release constitute any such warranty. The software is provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the software.

CC0

eflowstats's People

Contributors

cpenn-usgs avatar dblodgett-usgs avatar doug-friedman avatar jds485 avatar jenskiesel avatar ldecicco-usgs avatar tjmills avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.