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Revision 3a8a8e72

Added by Benoit Parmentier over 11 years ago

slight modifications, solving issues for covariate brick production

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climate/research/oregon/interpolation/covariates_production_temperatures.R
283 283
  pat_str1 <- glob2rx(paste("mean","*",lst_pat,"*",out_suffix_modis,"*.tif",sep=""))
284 284
  tmp_str1 <- mixedsort(list.files(path=hdfdir_lst_avg,pattern=pat_str1,full.names=TRUE))
285 285
  #add lines using grep to select tiles...
286
 
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  keywords <- list_tiles_modis
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  #screen for relevant tiles...
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  tmp_str2 <-unlist(lapply(keywords,grep,tmp_str2,value=TRUE))
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  tmp_str1 <-unlist(lapply(keywords,grep,tmp_str1,value=TRUE))
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287 291
  #Format list for mosaicing: mosaic for every month the relevant number of files
288 292
  out_rastnames<-paste("_",lst_pat,"_","nobs",out_suffix,sep="")
289 293
  list_date_names<-c("jan","feb","mar","apr","may","jun","jul","aug","sep","oct","nov","dec")

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