AHGestimation: An R package for computing robust, mass preserving hydraulic geometries and rating curves

Author:

Johnson J MichaelORCID,Afshari ShahabORCID,Rad Arash ModaresiORCID

Publisher

The Open Journal

Reference28 articles.

1. R Core Team. (2023). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. https://www.R-project.org/

2. Leopold, L. B., & Maddock, T. (1953). The hydraulic geometry of stream channels and some physiographic implications (Vol. 252). US Government Printing Office. https://doi.org/10.3133/pp252

3. Knowledge graphs to support real-time flood impact evaluation;Johnson;AI Magazine,2022

4. Bock, A. R., Blodgett, D. L., Johnson, J., Santiago, M., & Wieczorek, M. E. (2022). National Hydrologic Geospatial Fabric Reference and Derived Hydrofabrics. U.S. Geological Survey software release. https://www.sciencebase.gov/catalog/item/60be0e53d34e86b93891012b

5. National hydrologic geospatial fabric (hydrofabric) for the next generation (NextGen) hydrologic modeling framework;Johnson,2022

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