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Revision 893b8668

Added by Benoit Parmentier over 9 years ago

presentation slidify for 1982 first modifications

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climate/research/oregon/interpolation/presentation_global_run_scalingup_assessment.Rmd
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---
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title       : Summary for year 1992, region 4 -Africa
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title       : Summary for year 1982, region 4 -Africa
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subtitle    : Global assessment interpolation
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author      : Benoit Parmentier and Alberto Guzman
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job         : NEX job world
......
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#First let's set up the input parameters for the script in R:
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in_dir <- "/data/project/layers/commons/NEX_data/output_run10_1500x4500_global_analyses_pred_1992_09012015"
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#in_dir <- "/data/project/layers/commons/NEX_data/output_run10_1500x4500_global_analyses_pr#ed_1982_09152015"
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in_dir <- "/home/bparmentier/Dropbox/Data/NCEAS/env_layers_documents/output_run10_1500x4500_global_analyses_pred_1982_09152015"
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#region_name <- "reg4" #PARAM 13 #reg4 South America, Africa reg5,Europe reg2, North America reg1, Asia reg3
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#out_suffix <- paste(region_name,"_","pred_1992_09032015",sep="") 
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out_suffix <- "pred_1992_09032015"
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out_suffix <- "pred_1982_09152015"
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#day_to_mosaic <- c("20100831",
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#                   "20100901") #PARAM7
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......
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There were 43 tiles for region 4 (Africa)
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1. Tiles were run for 365 days.
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2. Year tested was 1992.
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2. Year tested was 1982.
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3. Assessments for the number of days predicted and accuracy were carried out.
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......
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```{r, echo=FALSE}
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#image_file1 <- file.path(in_dir,"Figure9_clim_mosaics_day_test_unweighted_20100831_world_mosaic_07092015")
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fname <- paste("Figure1_tile_processed_region_world_run10_1500x4500_global_analyses_pred_1992_09012015.png")
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fname <- paste("Figure1_tile_processed_region_world_run10_1500x4500_global_analyses_",out_suffix)
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image_file1 <- file.path(in_dir,fname)
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......
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```{r, echo=FALSE}
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fname <- paste("Figure2a_boxplot_with_oultiers_by_tiles_mod1_run10_1500x4500_global_analyses_pred_1992_09012015.png")
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fname <- paste("Figure2a_boxplot_with_oultiers_by_tiles_mod1_run10_1500x4500_global_analyses_",out_suffix,sep="")
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image_file2 <- file.path(in_dir,fname)
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fname <- paste("Figure2b_boxplot_scaling_by_tiles_mod1_run10_1500x4500_global_analyses_pred_1992_09012015.png")
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fname <- paste("Figure2b_boxplot_scaling_by_tiles_mod1_run10_1500x4500_global_analyses_",out_suffix,sep="")
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image_file3 <- file.path(in_dir,fname)
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```
......
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#image_file2 <- file.path(in_dir,"Figure9_clim_mosaics_day_test_edge_weighted_20100831_world_mosaic_07092015.png")
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fname <- paste("Figure3a_boxplot_overall_region_with_oultiers_mod_kr_run10_1500x4500_global_analyses_pred_1992_09012015.png")
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fname <- paste("Figure3a_boxplot_overall_region_with_oultiers_mod_kr_run10_1500x4500_global_analyses_",out_suffix,sep="")
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image_file4 <- file.path(in_dir,fname)
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fname <- paste("Figure3b_boxplot_overall_region_scaling_mod_kr_run10_1500x4500_global_analyses_pred_1992_09012015.png")
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fname <- paste("Figure3b_boxplot_overall_region_scaling_mod_kr_run10_1500x4500_global_analyses_",out_suffix,sep="")
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image_file5 <- file.path(in_dir,fname)
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```
......
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#image_file2 <- file.path(in_dir,"Figure9_clim_mosaics_day_test_edge_weighted_20100831_world_mosaic_07092015.png")
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fname <- paste("Figure5_ac_metrics_ranked_mod1_run10_1500x4500_global_analyses_pred_1992_09012015.png")
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fname <- paste("Figure5_ac_metrics_ranked_mod1_run10_1500x4500_global_analyses_",out_suffix,sep="")
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image_file6 <- file.path(in_dir,fname)
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fname <- paste("Figure5_ac_metrics_ranked_mod_kr_run10_1500x4500_global_analyses_pred_1992_09012015.png")
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fname <- paste("Figure5_ac_metrics_ranked_mod_kr_run10_1500x4500_global_analyses_",out_suffix,sep="")
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image_file7 <- file.path(in_dir,fname)
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```
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```{r, echo=FALSE}
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#image_file1 <- file.path(in_dir,"Figure9_clim_mosaics_day_test_unweighted_20100831_world_mosaic_07092015")
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fname <- paste("Figure6_ac_metrics_map_centroids_tile_mod1_run10_1500x4500_global_analyses_pred_1992_09012015.png")
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fname <- paste("Figure6_ac_metrics_map_centroids_tile_mod1_run10_1500x4500_global_analyses_",out_suffix, sep="")
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image_file8 <- file.path(in_dir,fname)
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......
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---
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# Predicted tiles for 1992
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# Predicted tiles for 1982
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```{r, echo=FALSE}
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#image_file1 <- file.path(in_dir,"Figure9_clim_mosaics_day_test_unweighted_20100831_world_mosaic_07092015")
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fname <- paste("Figure7a_ac_metrics_map_centroids_tile_mod1_missing_day_367_run10_1500x4500_global_analyses_pred_1992_09012015.png")
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fname <- paste("Figure7a_ac_metrics_map_centroids_tile_mod1_missing_day_367_run10_1500x4500_global_analyses_",out_suffix,sep="")
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image_file9 <- file.path(in_dir,fname)
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......
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```{r, echo=FALSE}
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#image_file1 <- file.path(in_dir,"Figure9_clim_mosaics_day_test_unweighted_20100831_world_mosaic_07092015")
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fname <- paste("Figure7a_ac_metrics_map_centroids_tile_mod1_missing_day_365_run10_1500x4500_global_analyses_pred_1992_09012015.png")
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fname <- paste("Figure7a_ac_metrics_map_centroids_tile_mod1_missing_day_365_run10_1500x4500_global_analyses_",out_suffix,sep="")
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image_file10 <- file.path(in_dir,fname)
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......
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```{r echo = F}
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#tb <- read.table(file=file.path(out_dir,paste("tb_diagnostic_v_NA","_",out_suffix,".txt",sep="")),sep=",")
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tb <- read.table(file.path("/data/project/layers/commons/NEX_data/output_run10_1500x4500_global_analyses_pred_1992_09012015","tb_diagnostic_v_NA_run10_1500x4500_global_analyses_pred_1992_09012015.txt"),sep=",")
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#tb <- read.table(file.path(in_dir,"tb_diagnostic_v_NA_run10_1500x4500_global_analyses_pred#_1992_09012015.txt"),sep=",")
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tb_s <- read.table(file=file.path(in_dir,paste("tb_diagnostic_v_NA","_",out_suffix,".txt",sep="")),sep=",")
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#table(tb$pred_mod)
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#table(tb$index_d)

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