Project

General

Profile

« Previous | Next » 

Revision 1fe9e0ed

Added by Benoit Parmentier over 9 years ago

more modifications to mosaicing function

View differences:

climate/research/oregon/interpolation/global_run_scalingup_mosaicing_function.R
403 403
  raster_name <- file.path(out_dir_str,paste(raster_name_tmp,"_","m_",out_suffix,file_format,sep=""))#output file
404 404
  r_ref <- init(r_m, fun=set1f, filename=raster_name, overwrite=TRUE)
405 405
  #NAvalue(r_ref) <- -9999
406

  
407
  cmd_str <- paste("/usr/bin/gdalwarp",inFilename,raster_name,sep=" ") #this may be a problem
406
  python_cmd <- file.path(python_bin,"gdalwarp")
407

  
408
  #cmd_str <- paste("/usr/bin/gdalwarp",inFilename,raster_name,sep=" ") #this may be a problem
409
  cmd_str <- paste(python_cmd,inFilename,raster_name,sep=" ") #this may be a problem
410
      
411
      
412
      
413
      
414
      
408 415
  #gdalwarp -t_srs '+proj=utm +zone=11 +datum=WGS84' raw_spot.tif utm11.tif
409 416

  
410 417
  system(cmd_str)
......
435 442
  #9)out_dir: output directory, default is NULL
436 443
  #
437 444
  #OUTPUT:
438
  # Ojbec is produced with 3 components:
445
  # Object is produced with 3 components:
439 446
  # 1) mean_mosaic: list of raster files from produced mosaic ,
440 447
  # 2) r_weights: list of raster files from weights 
441 448
  # 3) r_weights_prod: list of raster files from product weights (weights*value)

Also available in: Unified diff