csv2climatol | R Documentation |
climatol
input formatThis function helps to prepare the climatol
input files when the users
have their data in a single CSV file, as the output of xls2csv().
csv2climatol(csvfile, datacol=6:8, stnfile=csvfile, stncol=1:5, varcli,
anyi=NA, anyf=NA, mindat=NA, sep=',', dec='.', na.strings='NA',
dateformat='%Y-%m-%d', cf=1, ndec=1, header=TRUE)
csvfile |
name of the CSV file containing the data. |
datacol |
column(s) holding station codes, dates and data. |
stnfile |
name of the CSV file containing station codes, names and coordinates (if these data are not in the csvfile). |
stncol |
columns holding longitudes, latitudes, elevations and station codes and names. |
varcli |
short name of the climatic variable under study. |
anyi |
first year to study. |
anyf |
last year to study. |
mindat |
minimum required number of data per station (by default, 60 monthly data or 365 daily data). |
sep |
data separator (',' by default: Comma Separated Values). |
dec |
decimal point ('.' by default). |
na.strings |
strings coding missing data ('NA' by default). |
dateformat |
format of dates (if not in separate columns.
Default: |
cf |
conversion factor to apply if data units need to be changed. |
ndec |
no. of decimals to round to. |
header |
|
If datacol
holds 4 (or 5) values, dates are expected to appear as
year, month (and days) in separate columns. Otherwise, dates will be provided
as character strings (see parameter dateformat
).
Station codes, names and coordinates can go in a separate file
stnfile
. At least coordinates and station codes must be present in
either csvfile
or stnfile
. Put a zero for any inexistent
columns. Example when stnfile
contains only, in this order, latitudes,
longitudes and station names: stncol=c(2,1,0,3,0)
.
Note that if a stnfile is provided, then sep, dec, na.strings and header
defined for csvfile will also be applied to stnfile.
xls2csv
, homogen
## Set a temporal working directory:
wd <- tempdir()
wd0 <- setwd(wd)
## Create origin and destination directories and copy example input files:
dir.create('dir1'); dir.create('dir2')
file.copy(exampleFiles('p064.xlsx'),'dir1')
file.copy(exampleFiles('p082.xlsx'),'dir1')
file.copy(exampleFiles('p084.xlsx'),'dir1')
## Create input files for csv2climatol with the function xls2csv:
xls2csv('dir1','dir2','RR')
## Add bogus coordinates and elevations to the station file:
est=read.table('xls_RR_stations.csv',sep=',')
est=data.frame(1:3,21:23,101:103,est)
write.table(est,'xls_RR_stations.csv',sep=',',row.names=FALSE,col.names=FALSE)
## Now run the example of csv2climatol:
csv2climatol('xls_RR_data.csv', datacol=1:5, stnfile='xls_RR_stations.csv',
varcli='RR',header=FALSE)
## Return to user's working directory:
setwd(wd0)
## Input and output files can be found in directory:
print(wd)
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