climatol (version 4.1.0)

daily2climatol: Convert daily data files to climatol input format

Description

This function can be useful to prepare the climatol input files when the users have their daily data in per station individual files.

Usage

daily2climatol(stfile, stcol=1:6, datcol=1:4, varcli, anyi=NA, anyf=NA,
  mindat=365, sep=',', dec='.', na.strings='NA', dateformat='%Y-%m-%d',
  header=TRUE)

Arguments

stfile

File with file names and station coordinates, codes and names.

stcol

Columns in stfile holding data file names, longitudes, latitudes, elevations and station codes and names. (Defaults to 1:6. Use 0 for codes and/or names columns if they are missing, and numeric values will be assigned.)

datcol

Columns in data files holding year, month, day, value.

varcli

Short name of the studied climatic variable.

anyi

First year to study (defaults to the first year of available data).

anyf

Last year to study (defaults to the last year of available data).

mindat

Minimum required number of data per station. (Defaults to 365 daily data.)

sep

Field separator in all files, whether data or stations. (',' by default.)

dec

Decimal point. ('.' by default.)

na.strings

Strings coding missing data ('NA' by default).

dateformat

Format of dates if not in separate columns. ('%Y-%m-%d' by default.)

header

Logical value indicating whether input files have a header line or not. (TRUE by default.)

Details

Many users have their daily series in separate files (one per station). This function can be used to read these daily data files and write the input files needed by the homogen function of this climatol package.

When either station codes or names are missing in the stations file, its corresponding column must be set to 0. In this case, codes and/or names will be assigned with numeric values.

Field separator, decimal point and the presence of a header line must be consistent in all files (data files and stations file).

If your files follow the RClimDex convention, you can use the rclimdex2climatol function instead.

See Also

rclimdex2climatol, homogen

Examples

## Set a temporal working directory and write example input files:
wd <- tempdir()
wd0 <- setwd(wd)
data(climatol_data)
df=cbind(File=c('p064.csv','p084.csv','p082.csv'),SIstations)
write.csv(df,'stations.csv',row.names=FALSE,quote=FALSE)
write.csv(p064.df,'p064.csv',row.names=FALSE,quote=FALSE)
write.csv(p084.df,'p084.csv',row.names=FALSE,quote=FALSE)
write.csv(p082.df,'p082.csv',row.names=FALSE,quote=FALSE)

## Now run the example:
daily2climatol(stfile='stations.csv',varcli='RR')

## Return to user's working directory:
setwd(wd0)

## Input and output files can be found in directory:
print(wd)