#STAGE 5: Output analyses: assessment of results for specific dates...

#

#AUTHOR: Benoit Parmentier                                                                       

#PROJECT: NCEAS INPLANT: Environment and Organisms --TASK#363, TASK$568--   

#source(file.path(script_path,"download_and_produce_MODIS_LST_climatology_06112013.R"))

source(file.path(script_path,"covariates_production_temperatures_08052013.R"))

source(file.path(script_path,"Database_stations_covariates_processing_function_06112013.R"))

source(file.path(script_path,"results_interpolation_date_output_analyses_08052013.R"))

#source(file.path(script_path,"results_covariates_database_stations_output_analyses_04012013.R")) #to be completed

#FUNCTIONS CALLED FROM GAM ANALYSIS RASTER PREDICTION ARE FOUND IN...

source(file.path(script_path,"sampling_script_functions_08252013.R"))

source(file.path(script_path,"interpolation_method_day_function_multisampling_07052013.R")) #Include GAM_day

#stages_to_run<-c(1,2,3,4,5) #May decide on antoher strategy later on...

#stages_to_run<-c(0,2,3,4,5) #May decide on antoher strategy later on...

#met_stations_outfiles_obj_file<-"met_stations_outfiles_obj_gam_CAI__365d_gam_CAI_lst_comb3_08252013.RData"

var<-"TMAX" # variable being interpolated

out_suffix_modis <-"_05302013"                       #pattern to find tiles produced previously     

#interpolation_method<-c("gam_fusion","gam_CAI","gam_daily") #other otpions to be added later

nb_sample_month <-1           #number of time random sampling must be repeated for every hold out proportion

step_month <-0.1         

constant_month <-0             #if value 1 then use the same samples as date one for the all set of dates

#dates_selected<-c("20100101","20100102","20100103","20100901") # Note that the dates set must have a specific format: yyymmdd

#dates_selected<-c("20100101","20100102","20100301","20100302","20100501","20100502","20100701","20100702","20100901","20100902","20101101","20101102")