Comments (5)
Real quick on mobile, untested: basically
dataDWD(base=sub("climate", "phenology", dwdbase), file="some/url", joinbf=TRUE, read=FALSE, dir="DWDdata")
If you send me a reading function for an example file, I can incorporate that as well.
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Thanks for the quick rresponse! Resolved this issue with 👍
dwdphenology <- paste(sub("climate$", "phenology", dwdbase),"/annual_reporters/crops/historical/",sep="")
dataDWD(base=dwdphenology, file="PH_Jahresmelder_Landwirtschaft_Kulturpflanze_Winterweizen_1925_2018_hist.txt", joinbf=TRUE, read=FALSE, dir="DWDdata")
Now next step is to read in the metadata and join the two tables.
Thanks a lot,
Etienne
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Nice. I might add a short example to the use cases vignette. If you have ideas for an example analysis, they'd be welcome ;-)
Note to self: Here's a basic outline for a smaller file:
phenocrop_base <- paste0(sub("climate$", "phenology", dwdbase),
"/annual_reporters/crops/historical/")
# pheno_urls <- indexFTP("", base=phenocrop_base, dir="Pheno")
kohl_url <- "PH_Jahresmelder_Landwirtschaft_Kulturpflanze_Weisskohl_1951_1990_hist.txt"
kohl_file <- dataDWD(base=phenocrop_base, file=kohl_url, joinbf=TRUE,
read=FALSE, dir="Pheno") # 9 MB
kohl <- read.table(kohl_file, sep=";", header=TRUE)
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Thanks Berry, this is exactly what I was just writing this morning! Ill make sure I'll send you a short version of my analysis once i am done. I think we can close the case!
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The use case as a direct link: https://bookdown.org/brry/rdwd/use-case-phenology-data.html
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Related Issues (20)
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