Calculate distance between multiple coordinates of different ID's-CodePudding

I want to calculate the distance between coordinates (I have them in WGS84 and RD, doesn't matter which one you use). I have a column HEX_Tag_ID with coordinates on different dates Datum. My final output must be the euclidean-distance between the coordinates of each HEX_Tag_ID per the given Date Datum. Which means the output will have a column with the ID numbers, Dates and to add on that the columns Lengte_(cm), Geslacht and Sloot. So for example: ID number with 3D6.15341BF512 travelled 0 meter on 2022-04-21(start date is always 0 meters), 10 meters on 2022-05-23 (distance between the start date and first date), etc. There must be a simple solution for my question, but I am unable to solve this. How should I approach this?

structure(list(Datum_Tijd = structure(c(1654599940, 1653640149, 
1653901765, 1654245381, 1654586176, 1653025946, 1653631734, 1653026906, 
1653302935, 1653023250, 1654238061, 1653032624, 1654245293, 1654581147, 
1653901687, 1653033025, 1653632179, 1653303295, 1654238248, 1653893632, 
1654587124, 1654844943, 1654586291, 1654235481, 1654237268, 1653901422, 
1654580969, 1653639860, 1653638587, 1654243414, 1653900236, 1653286536, 
1653630510, 1653631222, 1654586182, 1653023955, 1655099520, 1654235294, 
1654584672, 1653300704, 1653630658, 1653033025, 1654581063, 1654236753, 
1655101055, 1653301844, 1653025058, 1653892075, 1654244816, 1653032338, 
1654845399, 1653026007, 1654842827, 1654235008, 1655099217, 1654584305, 
1654244048, 1654580038, 1653286599, 1653638813, 1653292705, 1654600259, 
1654586176, 1653025977, 1654844943, 1653892729, 1653901102, 1653631309, 
1653300852, 1654842919, 1654585758, 1653630307, 1653031974, 1653639528, 
1653901569, 1653630713, 1654236641, 1653025310, 1654585645, 1653301970, 
1654236526, 1653892176, 1653301970, 1653630307, 1654843996, 1654585479, 
1653026906, 1654586432, 1654237699, 1653893062, 1653303309, 1653026990, 
1653631709, 1654600151, 1655123100, 1653300857, 1655101751, 1653639666, 
1654244963, 1653639743, 1653901791, 1654245420, 1655101326, 1654845521, 
1653632032, 1653893478, 1654238048, 1653302358, 1653027080, 1654238053, 
1653893460, 1653631928, 1655103098, 1654838433, 1655109536, 1654579930, 
1653891610, 1653023256, 1653301384, 1653301069, 1654585048, 1654235912, 
1654845726, 1653638389, 1653286087, 1654579725, 1653900204, 1653900967, 
1653287064, 1653639241, 1655111038, 1654839303, 1653301359, 1653023103, 
1653022257, 1654585645, 1654844287, 1653023789, 1654236992, 1654237269, 
1653631090, 1653025947, 1653023792, 1653301006, 1655100212, 1654584948, 
1653629670, 1654235809, 1654585387, 1654838820, 1653286385, 1653900459, 
1654243915, 1654594795, 1653629089, 1653890934, 1653300279, 1655118390, 
1653032025, 1654235007, 1655100030, 1654584868, 1654237883, 1654586799, 
1653904978, 1653290733, 1655114189, 1654599824, 1654236016, 1654843618, 
1653891825, 1654585307, 1654236207, 1653301534, 1655100739, 1653629934, 
1653286092, 1654838117, 1654243157, 1653900023, 1655109075, 1653030923, 
1654237467, 1653026216, 1653302633, 1654586302, 1653631495, 1653031865, 
1654244428, 1653286665, 1654580433, 1653638972, 1653900853, 1654580154, 
1654838661, 1655110042, 1653910340, 1655118041, 1654600083, 1653628861
), tzone = "", class = c("POSIXct", "POSIXt")), Datum = structure(c(19150, 
19139, 19142, 19146, 19150, 19132, 19139, 19132, 19135, 19132, 
19146, 19132, 19146, 19150, 19142, 19132, 19139, 19135, 19146, 
19142, 19150, 19153, 19150, 19146, 19146, 19142, 19150, 19139, 
19139, 19146, 19142, 19135, 19139, 19139, 19150, 19132, 19156, 
19146, 19150, 19135, 19139, 19132, 19150, 19146, 19156, 19135, 
19132, 19142, 19146, 19132, 19153, 19132, 19153, 19146, 19156, 
19150, 19146, 19150, 19135, 19139, 19135, 19150, 19150, 19132, 
19153, 19142, 19142, 19139, 19135, 19153, 19150, 19139, 19132, 
19139, 19142, 19139, 19146, 19132, 19150, 19135, 19146, 19142, 
19135, 19139, 19153, 19150, 19132, 19150, 19146, 19142, 19135, 
19132, 19139, 19150, 19156, 19135, 19156, 19139, 19146, 19139, 
19142, 19146, 19156, 19153, 19139, 19142, 19146, 19135, 19132, 
19146, 19142, 19139, 19156, 19153, 19156, 19150, 19142, 19132, 
19135, 19135, 19150, 19146, 19153, 19139, 19135, 19150, 19142, 
19142, 19135, 19139, 19156, 19153, 19135, 19132, 19132, 19150, 
19153, 19132, 19146, 19146, 19139, 19132, 19132, 19135, 19156, 
19150, 19139, 19146, 19150, 19153, 19135, 19142, 19146, 19150, 
19139, 19142, 19135, 19156, 19132, 19146, 19156, 19150, 19146, 
19150, 19142, 19135, 19156, 19150, 19146, 19153, 19142, 19150, 
19146, 19135, 19156, 19139, 19135, 19153, 19146, 19142, 19156, 
19132, 19146, 19132, 19135, 19150, 19139, 19132, 19146, 19135, 
19150, 19139, 19142, 19150, 19153, 19156, 19142, 19156, 19150, 
19139), class = "Date"), Tijd = c("13:05:40", "10:29:09", "11:09:25", 
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"09:50:25", "08:16:19", "12:54:55", "08:37:28", "08:53:52", "09:32:04", 
"09:09:03", "09:18:11", "07:51:21", "08:21:08", "11:03:42", "07:49:29", 
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"07:53:27", "08:33:47", "07:43:28", "07:46:57", "08:45:05", "10:14:08", 
"07:33:58", "08:16:39", "10:06:53", "09:58:25", "13:10:59", "09:16:16", 
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"09:20:32", "08:28:19", "08:44:22", "12:55:09", "08:09:50", "08:08:29", 
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"08:51:18", "08:34:08", "12:39:18", "08:11:20", "08:34:13", "08:51:00", 
"08:12:08", "08:51:38", "07:20:33", "10:38:56", "07:32:10", "08:20:10", 
"07:07:36", "12:23:04", "12:17:49", "08:57:28", "07:58:32", "09:22:06", 
"09:59:49", "08:08:07", "07:28:45", "10:43:24", "10:56:07", "08:24:24", 
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CodePudding user response：

Assuming that the data is assigned to df.
The key is to use the lag function.

library(dplyr); library(tidyr)
df_dist <- df %>% 
  group_by(HEX_Tag_ID) %>% 
  arrange(Datum) %>%  # Sort the dataframe by Date                                     
  mutate(
    distance = sqrt((x - lag(x))^2   (y - lag(y))^2),  # The "lag" function shifts a vector 
    date_start = lag(Datum),
    date_end = Datum) %>%
  drop_na(distance) %>% # Removes rows with distance == NA, because the lag function return an NA for the first element 
  select(HEX_Tag_ID, date_start, date_end, , distance, `Lengte_(cm)`, Geslacht, Sloot)