Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content
  • Feedback

    • Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the Northeastern United States (2019)

    Metadata Updated: July 6, 2024

    Tables are presented listing parameters used in logistic regression equations describing drought streamflow probabilities in the Northeastern United States. Streamflow daily data, streamflow monthly mean data, maximum likelihood logistic regression (MLLR) equation explanatory parameters, equation goodness of fit parameters, and Receiver Operating Characteristic (ROC) AUC values identifying the utility of each relation, describe each model of the probability (chance) of a particular streamflow daily value exceeding or not exceeding an identified drought streamflow threshold. These models are key inputs to drought forecasting web applications for the northeastern United states {https://usgs.maps.arcgis.com/apps/MapSeries/index.html?appid=b8c5da617a0e4d628e3e39f7dbd512da}

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date June 1, 2023
    Metadata Updated Date July 6, 2024

    Metadata Source

    Harvested from DOI EDI

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date June 1, 2023
    Metadata Updated Date July 6, 2024
    Publisher U.S. Geological Survey
    Maintainer
    @Id http://datainventory.doi.gov/id/dataset/90e1e52886020c07e5614dda75948e24
    Identifier USGS:5d681d5de4b0c4f70cf15c9b
    Data Last Modified 20210903
    Category geospatial
    Public Access Level public
    Bureau Code 010:12
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://datainventory.doi.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id db7bc71a-2f93-4272-a7e3-3ce1850e9e9e
    Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
    Harvest Source Title DOI EDI
    Metadata Type geospatial
    Old Spatial -84.067382812719,35.977652111331,-66.137695313435,47.768574328315
    Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
    Source Datajson Identifier True
    Source Hash 79958c6a9921e08955cbf07ba9c456c02934a8d41549359b507dc74cc8a76c72
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -84.067382812719, 35.977652111331, -84.067382812719, 47.768574328315, -66.137695313435, 47.768574328315, -66.137695313435, 35.977652111331, -84.067382812719, 35.977652111331}

    Didn't find what you're looking for? Suggest a dataset here.