Inputs and Selected Predictions of a Differential Spatially Referenced Regression Model for 20-year Changes in Total Nitrogen in the Chesapeake Bay Watershed

Description

The core equations of the SPARROW model (Schwarz and others, 2006) were implemented in differential form using the R programming language (R Core Team, 2017), as the basis of a tool for empirically relating a regional pattern of changes in constituent flux, over a multi-year period, to spatially referenced changes in explanatory variables over the same period. A pilot implementation was developed to explore factors influencing changes in flow-normalized flux of total nitrogen (TN) over the period 1990-2010 at 43 sites in the non-tidal Chesapeake Bay watershed. Model inputs, outputs, and code are included in this data release, and are described below.

Resources

Name Format Description Link
55 Landing page for access to the data https://doi.org/10.5066/P9VLUW2Y
55 The metadata original format https://data.usgs.gov/datacatalog/metadata/USGS.5afc7cd2e4b0da30c1bc200f.xml

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  • nutrients
  • usgs-5afc7cd2e4b0da30c1bc200f

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