Revision 73777986
Added by Benoit Parmentier almost 9 years ago
climate/research/oregon/interpolation/global_run_scalingup_assessment_part3.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: 03/23/2014 |
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#MODIFIED ON: 02/08/2016
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#MODIFIED ON: 02/09/2016
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#Version: 5 |
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#PROJECT: Environmental Layers project |
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#COMMENTS: Initial commit, script based on part 2 of assessment, will be modified further for overall assessment |
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plot_region <- list_param_run_assessment_plotting$plot_region # PARAM13 |
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num_cores <- list_param_run_assessment_plotting$num_cores # 6 #PARAM 14 |
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region_name <- list_param_run_assessment_plotting$region_name #<- "world" #PARAM 15 |
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df_assessment_files_name <- list_param_run_assessment_plotting$df_assessment_files_name #PARAM 16 |
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#df_assessment_files_name <- list_param_run_assessment_plotting$df_assessment_files_name #PARAM 16
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threshold_missing_day <- list_param_run_assessment_plotting$threshold_missing_day #PARM17 |
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year_predicted <- list_param_run_assessment_plotting$year_predicted |
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################ |
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### Figure 4: plot predicted tiff for specific date per model |
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## Replace by break out by season? |
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#y_var_name <-"dailyTmax" |
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#index <-244 #index corresponding to Sept 1 |
Also available in: Unified diff
assessment part3, replacing slight bug