Revision c850f186
Added by Benoit Parmentier about 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: 11/22/2013
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#DATE: 11/29/2013
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#PROJECT: NCEAS INPLANT: Environment and Organisms --TASK#363, TASK$568-- |
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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_cai_lst_mults_0_70_comb5_11222013" #User defined output prefix
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out_prefix<-"_365d_gwr_daily_lst_comb5p4_7_11292013" #User defined output prefix
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out_suffix<-"_OR_11222013" #Regional suffix
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out_suffix<-"_OR_11292013" #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_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_CAI") #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("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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#interpolation_method<-c("gwr_daily") #other otpions to be added later
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interpolation_method<-c("gwr_daily") #other otpions to be added later |
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#out_path<-"/home/parmentier/Data/IPLANT_project/Oregon_interpolation/Oregon_03142013/output_data" |
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out_path <- "/data/project/layers/commons/Oregon_interpolation/output_data" |
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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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#step_month <-0
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step_month <-0.1 |
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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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prop_minmax_month <-c(0,0.7) #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(0,0) #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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# "y_var ~ s(lat,lon) + s(elev_s) + s(LST) + ti(LST,LC1)") |
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#Combination 5: for paper multi-timescale paper |
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list_models<-c("y_var ~ lat*lon", |
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"y_var ~ lat*lon + LST", |
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"y_var ~ lat*lon + elev_s",
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"y_var ~ lat*lon + elev_s + N_w*E_w",
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#list_models<-c("y_var ~ lat*lon",
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# "y_var ~ lat*lon + LST",
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# "y_var ~ lat*lon + elev_s")
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list_models<-c("y_var ~ lat*lon + elev_s + N_w*E_w",
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"y_var ~ lat*lon + elev_s + DISTOC", |
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"y_var ~ lat*lon + elev_s + LST", |
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"y_var ~ lat*lon + elev_s + LST + I(LST*LC1)") |
Also available in: Unified diff
running gwr daily, mod4 to mod7, 0-70% onthly holdout comb5 for multi-time scale paper, max temp OR