Result: FLightR result object obtained from run.particle.filter
scheme: either 'vertical' or 'horizontal' layouts
Returns
'NULL'
Examples
File<-system.file("extdata","Godwit_TAGS_format.csv", package ="FLightR")# to run example fast we will cut the real data file by 2013 Aug 20Proc.data<-get.tags.data(File, end.date=as.POSIXct('2013-07-02', tz='GMT'))Calibration.periods<-data.frame( calibration.start=as.POSIXct(c(NA,"2014-05-05"), tz='GMT'), calibration.stop=as.POSIXct(c("2013-08-20",NA), tz='GMT'), lon=5.43, lat=52.93)#use c() also for the geographic coordinates, if you have more than one calibration location# (e. g., lon=c(5.43, 6.00), lat=c(52.93,52.94))# NB Below likelihood.correction is set to FALSE for fast run! # Leave it as default TRUE for real examplesCalibration<-make.calibration(Proc.data, Calibration.periods, likelihood.correction=FALSE)Grid<-make.grid(left=0, bottom=50, right=10, top=56, distance.from.land.allowed.to.use=c(-Inf,Inf), distance.from.land.allowed.to.stay=c(-Inf,Inf))all.in<-make.prerun.object(Proc.data, Grid, start=c(5.43,52.93), Calibration=Calibration, threads=2)# here we will run only 1e4 partilces for a very short track.# One should use 1e6 particles for the full runResult<-run.particle.filter(all.in, threads=1, nParticles=1e3, known.last=TRUE, precision.sd=25, check.outliers=FALSE)plot_lon_lat(Result)