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Revision 79b398dd

Added by Benoit Parmentier about 9 years ago

testing plotting of mosaics

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climate/research/oregon/interpolation/global_run_scalingup_mosaicing.R
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#Analyses, figures, tables and data are also produced in the script.
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#AUTHOR: Benoit Parmentier 
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#CREATED ON: 04/14/2015  
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#MODIFIED ON: 10/28/2015            
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#MODIFIED ON: 11/09/2015            
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#Version: 5
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#PROJECT: Environmental Layers project     
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#COMMENTS: analyses run for reg4 1992 for test of mosaicing using 1500x4500km and other tiles
......
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#MODULEPATH=$MODULEPATH:/nex/modules/files
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#module load pythonkits/gdal_1.10.0_python_2.7.3_nex
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#
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#setfacl -Rm user:aguzman4:rwx /nobackupp8/bparmen1/output_run10_1500x4500_global_analyses_pred_1992_10052015
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#
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#################################################################################################
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......
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#### FUNCTION USED IN SCRIPT
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function_mosaicing <-"global_run_scalingup_mosaicing_function_10282015.R"
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function_mosaicing <-"global_run_scalingup_mosaicing_function_11092015.R"
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#in_dir_script <-"/home/parmentier/Data/IPLANT_project/env_layers_scripts" #NCEAS UCSB
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in_dir_script <- "/nobackupp8/bparmen1/env_layers_scripts" #NASA NEX
......
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  mosaic_method <- "use_edge_weights" #this is distance from edge
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  out_suffix_tmp <- paste(interpolation_method,y_var_name,day_to_mosaic[i],out_suffix,sep="_")
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  debug(mosaicFiles)
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  #debug(mosaicFiles)
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  #can also loop through methods!!!
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  #python_bin <- "/usr/bin/" #python gdal bin, on Atlas NCEAS
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  #python_bin <- "/nobackupp6/aguzman4/climateLayers/sharedModules/bin" #on NEX
......
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lf_mean_mosaic <- lf_plot
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list_param_plot_mosaic <- list(lf_raster_fname=unlist(lf_mean_mosaic[1:3]),
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                               screenRast=FALSE,
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list_param_plot_mosaic <- list(lf_raster_fname=unlist(lf_mean_mosaic[1:2]),
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                               screenRast=TRUE,
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                               l_dates=day_to_mosaic,
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                               out_dir_str=out_dir,
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                               out_prefix_str <- "dailyTmax_",
......
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#plot_screen_raster_val(3,list_param_plot_mosaic)
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#debug(plot_screen_raster_val)
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num_cores <- 3
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l_png_files <- mclapply(1:length(unlist(lf_mean_mosaic)[1:3]),FUN=plot_screen_raster_val,
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num_cores <- 1
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l_png_files <- mclapply(1:length(unlist(lf_mean_mosaic)[1:2]),FUN=plot_screen_raster_val,
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                        list_param= list_param_plot_mosaic,
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                        mc.preschedule=FALSE,mc.cores = num_cores)
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