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Revision f6e04a80

Added by Benoit Parmentier almost 11 years ago

running kriging cai, 0 to 70% monthly holdout comb5 for multi-time scale paper, max temp OR

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climate/research/oregon/interpolation/master_script_temp.R
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#STAGE 5: Output analyses: assessment of results for specific dates...
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#
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#AUTHOR: Benoit Parmentier                                                                       
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#DATE: 11/16/2013                                                                                 
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#DATE: 11/27/2013                                                                                 
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#PROJECT: NCEAS INPLANT: Environment and Organisms --TASK#363, TASK$568--   
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......
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var<-"TMAX" # variable being interpolated
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#out_prefix<-"_365d_gam_cai_lst_comb3_10102013"                #User defined output prefix
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out_prefix<-"_365d_gwr_fss_lst_mults_0_70_comb5_11162013"                #User defined output prefix
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out_prefix<-"_365d_kriging_cai_lst_mults_0_70_comb5_11272013"                #User defined output prefix
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out_suffix<-"_OR_11162013"                                       #Regional suffix
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out_suffix<-"_OR_11272013"                                       #Regional suffix
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out_suffix_modis <-"_05302013"                       #pattern to find tiles produced previously     
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#interpolation_method<-c("gam_fusion","gam_CAI","gam_daily") #other otpions to be added later
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#interpolation_method<-c("gam_CAI") #other otpions to be added later
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#interpolation_method<-c("gam_fusion") #other otpions to be added later
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#interpolation_method<-c("kriging_fusion") #other otpions to be added later
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interpolation_method<-c("gwr_fusion") #other otpions to be added later
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#interpolation_method<-c("gwr_fusion") #other otpions to be added later
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#interpolation_method<-c("gwr_CAI") #other otpions to be added later
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#interpolation_method<-c("kriging_CAI") 
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interpolation_method<-c("kriging_CAI") 
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#interpolation_method<-c("gam_daily") #other otpions to be added later
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#interpolation_method<-c("kriging_daily") #other otpions to be added later
......
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#prop_minmax<-c(0.1,0.7)  #if prop_min=prop_max and step=0 then predictions are done for the number of dates...
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seed_number_month <- 100
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nb_sample_month <-1           #number of time random sampling must be repeated for every hold out proportion
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nb_sample_month <- 1           #number of time random sampling must be repeated for every hold out proportion
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#step_month <-0         
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step_month <-0.1
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constant_month <- 0             #if value 1 then use the same samples as date one for the all set of dates

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