saltriver: Data from the Salt River near Roosevelt, AZ, USA, for...

In kerdiest: Nonparametric kernel estimation of the distribution function. Bandwidth selection and estimation of related functions.

Description

The annual peak instantaneous flow of the Salt River near Roosevelt, AZ, USA, for 1924-2009. Data are in cfs (0.028317 m3/s); water year October-September. The data were examined in several papers related with extreme values in hydrology. Among others, they were analyzed by Anderson and Meerschaert (1998) and Dettinger and Diaz (2000), where they were fitted to a GEV and a GPD distribution. In Quintela del Rio (2011), a nonparametric analysis for this data set is made.

Usage

data(saltriver)

Format

A data frame with 85 observations on the following 2 variables.

year

Year

peakflow

The annual observed maximum peak flow

Source

US Geological Survey http://water.usgs.gov/nwis/peak.

References

Anderson, P.L. and Meerschaert, M.M. (1998) Modeling river flows with heavy tails, Water Resources Research 34, pp. 2271–2280.

Dettinger, M.D. and Diaz, H.F. (2000) Global characteristics of stream flow seasonality and variability, Journal of Hydrometeorology 1, pp. 289–310.

Quintela-del-Rio, A. (2011) On bandwidth selection for nonparametric estimation in flood frequency analysis. Hydrological Processes 25, pp. 671–678.

Quintela-del-Rio, A. and Estevez-Perez, G. (2012) Nonparametric Kernel Distribution Function Estimation with kerdiest: An R Package for Bandwidth Choice and Applications, Journal of Statistical Software 50(8), pp. 1-21. URL http://www.jstatsoft.org/v50/i08/.

Examples

data(saltriver)
peak<-saltriver$peakflow
year<-saltriver$year
plot(year,peak, type="l",ylab="Annual peak flow")

Example output

Loading required package: date
Loading required package: chron
Loading required package: evir

kerdiest documentation built on May 2, 2019, 3:24 a.m.