Regionalization of Surface-Water Statistics Using Multiple Linear Regression
Techniques and Methods
4-A12
Links
- Document: Report (1.58 MB pdf)
- Data Release: USGS Data Release - An example dataset for exploration of multiple linear regression
- Version History: version history (4.0 kB txt)
- Download citation as: RIS | Dublin Core
Abstract
This report serves as a reference document in support of the regionalization of surface-water statistics using multiple linear regression. Streamflow statistics are quantitative characterizations of hydrology and are often derived from observed streamflow records. In the absence of observed streamflow records, as at unmonitored or ungaged locations, other techniques are required. Multiple linear regression is one tool that is widely used to regionalize or transfer information from gaged to ungaged locations. This report provides the background to support regression-based regionalization of streamflow statistics. This background includes tools for data assembly, exploratory data analysis, model estimation in a least-squares framework, and model evaluation.
Suggested Citation
Farmer, W.H., Kiang, J.E., Feaster, T.D., and Eng, K., 2019, Regionalization of surface-water statistics using multiple linear regression (ver. 1.1, February 2021): U.S. Geological Survey Techniques and Methods, book 4, chap. A12, 40 p., https://doi.org/10.3133/tm4A12.
ISSN: 2328-7055 (online)
Table of Contents
- Abstract
- Introduction
- Data Assembly
- Exploratory Data Analysis
- Model Estimation
- Model Evaluation
- Model Application and Documentation
- Conclusions
- References Cited
- Appendix 1. Glossary of Terms
- Appendix 2. Glossary of Symbols
| Publication type | Report |
|---|---|
| Publication Subtype | USGS Numbered Series |
| Title | Regionalization of surface-water statistics using multiple linear regression |
| Series title | Techniques and Methods |
| Series number | 4-A12 |
| DOI | 10.3133/tm4A12 |
| Edition | Version 1.0: August 29, 2019; Version 1.1: February 18, 2021 |
| Publication Date | August 29, 2019 |
| Year Published | 2019 |
| Language | English |
| Publisher | U.S. Geological Survey |
| Publisher location | Reston, VA |
| Contributing office(s) | WMA - Integrated Modeling and Prediction Division |
| Description | Report: v, 40 p.; Data Release; Version History |
| Online Only (Y/N) | Y |