usgsGages

List of core USGS gages for CBP trend analyses

datasets

Enable users to evaluate long-term trends using a Generalized
Additive Modeling (GAM) approach. The model development includes selecting a
GAM structure to describe nonlinear seasonally-varying changes over time,
incorporation of hydrologic variability via either a river flow or salinity,
the use of an intervention to deal with method or laboratory changes
suspected to impact data values, and representation of left- and
interval-censored data. The approach has been applied to water quality data
in the Chesapeake Bay, a major estuary on the east coast of the United
States to provide insights to a range of management- and research-focused
questions.

Erik Leppo

baytrends

Long Term Water Quality Trend Analysis

usgsGages function

A data frame with 9 rows and 2 variables:<dl class="dl-horizontal">
 <dt>usgsGageID</dt><dd>USGS Gage ID</dd>
 <dt>siteName</dt><dd>USGS Site Name</dd>
</dl>

Format

USGS Gages — usgsGages

A data frame with 9 rows and 2 variables:<dl class='dl-horizontal'>
 <dt>usgsGageID</dt><dd>USGS Gage ID</dd>
 <dt>siteName</dt><dd>USGS Site Name</dd>
</dl>

usgsGages: USGS Gages

Description

Usage

Arguments

Format