Alexander, R.B. and Sanisaca, L.G., 2019, RSPARROW 2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9LKQ80K.
Summary
RSPARROW is an open-source system of R scripts and functions for executing and evaluating SPARROW models, with output generated in graphical, map, and tabular forms. Users operate the system in RStudio from a single R control script that manages access to the supporting input files and functions. The documentation describes the steps necessary to estimate the static version of the model. Static SPARROW models provide reach-level predictions (and uncertainties) of the long-term mean annual water-quality loads and flow-weighted concentrations. The predictions also include the shares of the load attributable to individual upstream sources and predictions of the mass quantities of the total load and individual sources that are delivered [...]
Summary
RSPARROW is an open-source system of R scripts and functions for executing and evaluating SPARROW models, with output generated in graphical, map, and tabular forms. Users operate the system in RStudio from a single R control script that manages access to the supporting input files and functions. The documentation describes the steps necessary to estimate the static version of the model. Static SPARROW models provide reach-level predictions (and uncertainties) of the long-term mean annual water-quality loads and flow-weighted concentrations. The predictions also include the shares of the load attributable to individual upstream sources and predictions of the mass quantities of the total load and individual sources that are delivered to downstream water bodies. RSPARROW is downloadable from the USGS code.usgs.gov repository (https://doi.org/10.5066/P9UAZ6FO) and includes R scripts, functions, and supporting information (e.g., documentation, tutorials, R libraries). The R functions and scripts, coded according to standardized open-source R protocols with supporting documentation of the design elements and developer search tools, promote work environment efficiencies that encourage the collaborative development of sharable SPARROW methods and functions.
The objective was to create an open-source R version of the software for developing and executing SPARROW static water-quality models, including the use of code.usgs.gov to ensure standardized methods of storage, maintenance, documentation, and retrieval of the R functions and control scripts.