Revision 60e1d33c
Added by Benoit Parmentier about 11 years ago
| climate/research/oregon/interpolation/master_script_temp.R | ||
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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_gwr_CAI_lst_comb3_09162013" #User defined output prefix
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out_suffix<-"_OR_09142013" #Regional suffix
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out_prefix<-"_365d_gwr_CAI_lst_comb3_09172013" #User defined output prefix
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out_suffix<-"_OR_09172013" #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(0,0.1) #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(0.2,0.3) #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")
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Also available in: Unified diff
running gwr CAI with monthly hold out from 0.2 to 0.3 in OR,paper analyses