baytrends
Long Term Water Quality Trend Analysis
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. Methodology described in Murphy (2019) <doi:10.1016/j.envsoft.2019.03.027>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.14 |
2026-04-09 windows/windows R-4.5 | baytrends_2.0.14.zip |
2.0 MiB |