57 lines
1.9 KiB
R
57 lines
1.9 KiB
R
MobilityFeatures <-
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function(locations_df,
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ACCURACY_LIM=51, ### meters GPS accuracy
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ITRVL=10, ### seconds (data concatenation)
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nreps=1, ### simulate missing data numer of times
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tz="", ### time zone of data, defaults to current time zone
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CENTERRAD=200, ### meters radius from significant locations considered
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wtype="GLR",
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spread_pars=c(10,1),
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minpausedur=300,
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minpausedist=60,
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rad_fp=NULL,
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wid_fp=NULL
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){
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mobmatmiss=GPS2MobMat(locations_df,itrvl=ITRVL,accuracylim=ACCURACY_LIM,r=rad_fp,w=wid_fp)
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mobmat = GuessPause(mobmatmiss,mindur=minpausedur,r=minpausedist)
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obj=InitializeParams(mobmat)
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qOKmsg=MobmatQualityOK(mobmat,obj)
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if(qOKmsg!=""){
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cat(qOKmsg,"\n")
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return(NULL)
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}
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lsmf = list()
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lssigloc = list()
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for(repnum in 1:nreps){
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if(repnum==1){
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cat("Sim #: 1")
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}else if(repnum<=nreps-1){
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cat(paste(" ",repnum,sep=""))
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}else{
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cat(paste(" ",nreps,"\n",sep=""))
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}
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out3=SimulateMobilityGaps(mobmat,obj,wtype,spread_pars)
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IDundef=which(out3[,1]==3)
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if(length(IDundef)>0){
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out3=out3[-IDundef,]
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}
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obj3=InitializeParams(out3)
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out_GMFM=GetMobilityFeaturesMat(out3,obj3,mobmatmiss,tz,CENTERRAD,ITRVL)
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lsmf[[repnum]]=out_GMFM[[1]]
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lssigloc[[repnum]]=out_GMFM[[2]]
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}
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cat("\n\n")
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if(length(lsmf)!=0){
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featavg = lsmf[[1]]
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if(nreps>1){
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for(i in 2:nreps){
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featavg=featavg+lsmf[[i]]
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}
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featavg=featavg/nreps
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}
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}else{
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featavg=NULL
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}
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return(list('mobmat'=mobmat,'mobmatmiss'=mobmatmiss,'featsims'=lsmf,'siglocsims'=lssigloc,'featavg'=featavg))
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}
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