chile_agromet2chillR: Convert a weather file downloaded from the Chilean Agromet...

In chillR: Statistical Methods for Phenology Analysis in Temperate Fruit Trees

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)

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.

Details

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

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.

Note

Many databases have data quality flags, which may sometimes indicate that data aren't reliable. These are not considered by this function!

Author(s)

Eike Luedeling

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)

chillR documentation built on Nov. 28, 2023, 1:09 a.m.