Displaying 1 result from an estimated 1 matches for "filtared".
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_filtered
2011 Jul 01
0
How to filter XY pairs of inacurate gps position along track, taking into account the time index to not mix track from different days in one average track
...3,48.95956167,48.95956833,48.95957167,48.95958167,48.95958833)
t_index<-1:(length(Lat))
Raw<-as.data.frame(cbind(t_index,Lon,Lat))
colnames(Raw)<-c('t_index','Lon','Lat')
plot(Raw$Lon,Raw$Lat,type="l",main = "lowess(cars)")
# data should be or filtared or ...?
#expected answer:
# ver 1 ------------------------------------------------------------------------------
#Raw$Lon_v2<- f_x (x=Raw$Lon, y=Raw$Lat)
#Raw$Lat_v2 <- f_y (x=Raw$Lon, y=Raw$Lat)
#lines(Raw$Lon_v2,Raw$Lat_v2,col=2)
# ver 2 ---------------------------------------...