chillR (version 0.75)

chile_agromet2chillR: Convert a weather file downloaded from the Chilean Agromet website to chillR format

Description

Convert downloaded weather data into a data frame that makes running other chillR functions easy.

Usage

chile_agromet2chillR(downloaded_weather_file, drop_most = TRUE)

Value

a data.frame with weather data, according to the downloaded file provided as input. If drop_most is FALSE, all columns from the original dataset are preserved, although some column names are adjusted to chillR's preferences ("Year","Month","Day","Tmin","Tmax","Tmean","Prec", if these columns are present). If drop_most is TRUE, only columns likely to be of interest to chillR users are retained.

Arguments

downloaded_weather_file

full path of a weather file downloaded from the Chilean Agromet website as an alleged Excel file (it has some formatting issues).

drop_most

boolean variable indicating if most columns should be dropped from the file. If set to TRUE (default), only essential columns for running chillR functions are retained.

Author

Eike Luedeling

Details

Processing the data with this function will make the data work well with the remainder of this package.

References

The chillR package:

Luedeling E, Kunz A and Blanke M, 2013. Identification of chilling and heat requirements of cherry trees - a statistical approach. International Journal of Biometeorology 57,679-689.

Examples

weather<-fix_weather(KA_weather[which(KA_weather$Year>2005),])  # this line is
#only here to make the example run, even without downloading a file

# FOLLOW THE INSTRUCTIONS IN THE LINE BELOW THIS; AND THEN  RUN THE LINE
# AFTER THAT (without the #)
# download an Excel file from the website and save it to disk (path: {X}) 
#weather<-fix_weather(chile_agromet2chillR({x}))

hourtemps<-stack_hourly_temps(weather, latitude=50.4)
chilling(hourtemps,305,60)