查找数据差距并拆分为更多轨道

Find data gaps and split in more tracks

我有一些动物的追踪数据,我想知道我的追踪是否在每个 id 的卫星传输中有超过 1 天的间隔。

并且,如果有的话,我需要将相同 ID 的曲目拆分为 2 个或更多子曲目。所以,有些人会不止一次爆发。

我的数据是这样的(dput):

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首先,我们可以计算每次采样之间的天数:

gap_days<-vector() #Create an empty vector we will fill in later
for (i in 1:dim(df)[1]){ #Iterate of each row in your dataframe
  if (i==1){ 
    gap_days<-c(gap_days,NA) #For the first observation there is no gap
  } else if (df$id[i] != df$id[i-1]){ 
    gap_days<-c(gap_days,NA) #For the first observation of a new ID there is no gap
  } else {
    gap_days<-c(gap_days,difftime(df$date[i],df$date[i-1], units = "days")[[1]]) #Calculate the time between observations in days
  }
}

df<-cbind(df,gap_days) #Bind our new column onto your data
Over1Day<-subset(df, gap_days > 1) #Save a dataframe of those observations of more than 1 day
Over1Day #print that df to the screen
      id                date lc     lon     lat gap_days
20162.03 2003-10-21 12:19:00  1 -38.517 -18.253 1.906944
20162.03 2003-10-23 10:33:00  B -38.674 -19.824 1.654861
20162.03 2003-11-02 08:14:00  B -42.084 -24.071 9.598611

我不确定您所说的需要将同一 id 的曲目分成 2 个或更多 sub-tracks 是什么意思,有些人会有不止一个爆发,但我希望这能让您开始。