hydroTSM (version 0.5-1)

hydroTSM-package: Management, analysis, interpolation and plot of hydrological time series, with focus on hydrological modelling

Description

S3 functions for management, analysis, interpolation and plotting of time series used in hydrology and related environmental sciences. In particular, this package is highly oriented to hydrological modelling tasks. The focus of this package has been put in providing a collection of tools useful for the daily work of hydrologists (although an effort was made to optimise each function as much as possible, functionality has had priority over speed). Bugs / comments / questions / collaboration of any kind are very welcomed, and in particular, datasets that can be included in this package for academic purposes.

Details

Package:	hydroTSM
Type:	Package
Version:	0.5-1
Date:	2017-08-07
License:	GPL >= 2
LazyLoad:	yes
Packaged:	Mon Aug 7 16:23:05 CLT 2017; MZB
BuiltUnder:	R version 3.4.1 (2017-06-30) -- "Single Candle" ; x86_64-pc-linux-gnu (64-bit)

See Also

https://github.com/hzambran/hydroGOF. https://github.com/hzambran/hydroPSO.

Examples

# NOT RUN {
## Loading the monthly time series (10 years) of precipitation for the Ebro River basin.
data(EbroPPtsMonthly)

#######
## Ex1) Graphical correlation among the ts of monthly precipitation of the first 
##      3 stations in 'EbroPPtsMonthly' (its first column stores the dates).
hydropairs(EbroPPtsMonthly[,2:4])

#######
## Ex2) Annual values of precipitation at the station "P9001"
sname2ts(EbroPPtsMonthly, sname="P9001", dates=1, var.type="Precipitation", 
         tstep.out="annual")

#######
## Ex3) Monthly and annual plots
sname2plot(EbroPPtsMonthly, sname="P9001", var.type="Precipitation", pfreq="ma")

#######
## Ex4) IDW interpolation and plot

## Loading the spatial data corresponding to 'EbroPPtsMonthly'
data(EbroPPgis)

## Loading the shapefile (polygon) with the subcatchments
data(EbroCatchmentsCHE)

## Selecting the first day of 'EbroPPtsMonthly' for all the stations
x.ts <- as.numeric(EbroPPtsMonthly[1, 2:ncol(EbroPPtsMonthly)])

## Setting the name of the gauging stations
names(x.ts) <- colnames(EbroPPtsMonthly[1,2:ncol(EbroPPtsMonthly)])

# Computing the interpolated values and plotting them
# Probably you will need to resize your window
# }
# NOT RUN {
x.idw <- hydrokrige(x.ts= x.ts, x.gis=EbroPPgis, 
                    X="EAST_ED50" , Y="NORTH_ED50" , sname="ID", 
                    bname= "CHE_BASIN_NAME", elevation="ELEVATION",
                    type= "both",
                    subcatchments= EbroCatchmentsCHE,
                    cell.size= 1000)
# }
# NOT RUN {
#######
## Ex5)  Mean monthly values of streamflows
## Loading daily streamflows (3 years) at the station 
## Oca en Ona (Ebro River basin, Spain)
data(OcaEnOnaQts)
monthlyfunction(OcaEnOnaQts, FUN=mean, na.rm=TRUE)

# }