Revision de8a9a29
Added by Benoit Parmentier over 11 years ago
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: 09/10/2013
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#DATE: 09/11/2013
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#PROJECT: NCEAS INPLANT: Environment and Organisms --TASK#363, TASK$568-- |
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#met_stations_outfiles_obj_file<-"met_stations_outfiles_obj_gam_CAI__365d_gam_CAI_lst_comb3_08252013.RData" |
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var<-"TMAX" # variable being interpolated |
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out_prefix<-"_365d_gam_fus_lst_comb3_09102013" #User defined output prefix
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out_suffix<-"_OR_09102013" #Regional suffix
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out_prefix<-"_365d_gam_fus_lst_comb3_09112013" #User defined output prefix
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out_suffix<-"_OR_09112013" #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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nb_sample_month <-1 #number of time random sampling must be repeated for every hold out proportion |
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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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prop_minmax_month <-c(0.2,0.3) #if prop_min=prop_max and step=0 then predictions are done for the number of dates...
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prop_minmax_month <-c(0.4,0.7) #if prop_min=prop_max and step=0 then predictions are done for the number of dates...
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#dates_selected<-c("20100101","20100102","20100103","20100901") # Note that the dates set must have a specific format: yyymmdd |
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#dates_selected<-c("20100101","20100102","20100301","20100302","20100501","20100502","20100701","20100702","20100901","20100902","20101101","20101102") |
Also available in: Unified diff
running gam fusion with 40 to 70% monthly holdout for multitimescale paper, OR