#This part 2 of the assessment focuses on graphics to explore the spatial patterns of raster times series as figures and movie

#AUTHOR: Benoit Parmentier 

#CREATED ON: 10/03/2016  

#Version: 1

#PROJECT: Environmental Layers project     

#COMMENTS: Initial commit, script based on part NASA biodiversity conferenc 

#source /nobackupp6/aguzman4/climateLayers/sharedModules2/etc/environ.sh 

#

#setfacl -Rm u:aguzman4:rwx /nobackupp6/aguzman4/climateLayers/LST_tempSpline/

#################################################################################################

#master directory containing the definition of tile size and tiles predicted

#in_dir <- "/data/project/layers/commons/NEX_data/climateLayers/out/reg5/assessment"

#in_dir_mosaic <- "/data/project/layers/commons/NEX_data/climateLayers/out/reg5/mosaic/mosaic"

#in_dir_mosaic <- "/data/project/layers/commons/NEX_data/climateLayers/out/reg6/mosaics/mosaic" #predicted mosaic

#in_dir_mosaic <- "/data/project/layers/commons/NEX_data/climateLayers/out/reg1/mosaics/mosaic"

create_out_dir_param <- TRUE #param 9, arg 6

#run_figure_by_year <- TRUE # param 10, arg 7

#date_end <- day_end

#infile_mask <- "/nobackupp8/bparmen1/NEX_data/regions_input_files/r_mask_LST_reg4.tif"

#run_figure_by_year <- TRUE # param 10, arg 7

list_year_predicted <- "1984,2014"

scaling <- 0.01 #was scaled on 100 

#if scaling is null then perform no scaling!!

#df_centroids_fname <- "/data/project/layers/commons/NEX_data/climateLayers/out/reg6/mosaic/output_reg6_1984/df_centroids_19840101_reg6_1984.txt"

#/nobackupp6/aguzman4/climateLayers/out/reg1/assessment//output_reg1_1984/df_assessment_files_reg1_1984_reg1_1984.txt

                                                     out_suffix=out_suffix_str,

                                                     out_dir=out_dir)

############################ END OF SCRIPT ##################################