as.datcli: as.datcli

In ecor/ClimClass: Climate Classification According To Several Indices

Description

Tranforms a data frame (see example dataset) into a data frame format like 'datcli' in 'climatol' package

Usage

as.datcli(df, station, MonthField = "month", PrecField = "P",
  MinTempField = "Tn", MaxTempField = "Tx", MeanTempField = "Tm",
  AbsMinTempField = "AbsTn", AbsMinTempOffset = 4,
  StationField = "station")

Arguments

df	data frame or list
station	name
MonthField	character string for month field in df. Default is "month".
PrecField	character string for Mean Precipitation field in df. Default is "P".
MinTempField	character string for Mean Daily Minimum Temperature field in df. Default is "Tn".
MaxTempField	character string for Mean Daily Maximum Temperature field in df. Default is "Tx".
MeanTempField	character string for Mean Daily Maximum Temperature field in df. Default is "Tm".
AbsMinTempField	character string for Absolute Monthly Minimum Temperature field in df. Default is "AbsTn".
AbsMinTempOffset	estimated offset between Average Min Temperature and Absolute Min Temperature.
StationField	character string for Station field in df. Default is "station".

Author(s)

Emanuele Cordano

See Also

http://www.climatol.eu/, http://www.zoolex.org/walter.html

Examples

### Not Run!!
# Install 'climatol' from 'http://www.climatol.eu/' first
### Then load the package, uncomment and run the following line
# library(climatol)
	library(stringr)
 data(Trent_climate)

 TrentinoClimateDf <- do.call(rbind,clima_81_10)
 names <- rownames(TrentinoClimateDf)
 TrentinoClimateDf$station <-
 unlist(lapply(X=str_split(names,pattern="[.]"),FUN=function(x) {x[1]}))


 station <- "T0129"
datcli <- as.datcli(TrentinoClimateDf,station=station)

### Not Run!!
# Install 'climatol' from 'http://www.climatol.eu/' first
### Then load the package, uncomment and run the following line
# diagwl(datcli,est=station,alt=100,per="Period",mlab="en") ## plots a Walter-Lieth's climograph

ecor/ClimClass documentation built on May 15, 2019, 8 p.m.