Revision 34598372
Added by Benoit Parmentier about 11 years ago
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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: 09/09/2013
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#DATE: 09/10/2013
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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_09092013" #User defined output prefix
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out_suffix<-"_OR_09092013" #Regional suffix
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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_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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"list_models","lst_avg","out_path","script_path","use_clim_image","join_daily", |
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"interpolation_method") |
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debug(raster_prediction_fun) |
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#debug(raster_prediction_fun)
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raster_prediction_obj <-raster_prediction_fun(list_param_raster_prediction) |
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############## STAGE 5: OUTPUT ANALYSES ################## |
Also available in: Unified diff
running gam fusion with 20-30% monthly holdout, multitimescale paper, OR