Revision 7cd6d106
Added by Benoit Parmentier over 11 years ago
climate/research/oregon/interpolation/GAM_fusion_function_multisampling.R | ||
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# 5)runGAMFusion <- function(i,list_param) : daily step for fusion method, perform daily prediction |
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# |
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#AUTHOR: Benoit Parmentier |
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#DATE: 04/20/2013
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#DATE: 04/30/2013
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#PROJECT: NCEAS INPLANT: Environment and Organisms --TASK#363-- |
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##Comments and TODO: |
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#j indicate which month is predicted, var indicates TMIN or TMAX |
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data_name<-paste(var,"_bias_LST_month_",j,"_",cname[k],"_",prop_month, |
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"_",run_samp,sep="") |
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raster_name<-paste("fusion_",data_name,out_prefix,".tif", sep="")
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raster_name<-paste("fusion",data_name,out_prefix,".tif", sep="") |
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list_out_filename[[k]]<-raster_name |
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} |
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#Saving kriged surface in raster images |
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data_name<-paste("daily_delta_",y_var_name,"_",sampling_dat$date[i],"_",sampling_dat$prop[i], |
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"_",sampling_dat$run_samp[i],sep="") |
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raster_name_delta<-paste("fusion_",var,"_",data_name,out_prefix,".tif", sep="")
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raster_name_delta<-paste(interpolation_method,"_",var,"_",data_name,out_prefix,".tif", sep="")
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writeRaster(daily_delta_rast, filename=raster_name_delta,overwrite=TRUE) #Writing the data in a raster file format...(IDRISI) |
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#Now predict daily after having selected the relevant month |
Also available in: Unified diff
gam cai funciton test run