tdtr | R Documentation |
Perform Top-Down Time Ratio segmentation
tdtr( data, col_names = list(entity_id_col = "entity_id", timestamp_col = "timestamp", latitude_col = "lat", longitude_col = "lon"), group_col = "state_id", max_segs = 5000, n_segs = max_segs, max_error = 200, add_iterations = FALSE )
data |
is a data.frame or data.table with timestamp, lat and lon |
col_names |
named list with existing column names for timestamp, latitude and longitude column (these are changed to 'timestamp', 'lat' and 'lon' respectively) |
group_col |
NULL for no grouping, or string column name representing a grouping in the data where initial segments will be drawn. |
max_segs |
with maximum number of segments allowed, default is 5000 |
n_segs |
used to generate a specific number of segments |
max_error |
used as stopping criteria, default is 200 |
add_iterations |
Add iterations to previous |
data.table with segment information
df <- data.frame(person = rep(1, 12), time = c(1, 2, 4, 10, 14, 18, 20, 21, 24, 25, 28, 29), longitude = c(5.1299311, 5.129979, 5.129597, 5.130028, 5.130555, 5.131083, 5.132101, 5.132704, 5.133326, 5.133904, 5.134746, 5.135613), lat = c(52.092839, 52.092827, 52.092571, 52.092292, 52.092076, 52.091821, 52.091420, 52.091219, 52.091343, 52.091651, 52.092138, 52.092698)) # Generate segments under a max error of 100m res100 <- tdtr(df, col_names = list(entity_id_col = "person", timestamp_col = "time", latitude_col = "lat", longitude_col = "longitude"), group_col = NULL, max_error = 100) # Generate segments under a max error of 30m res30 <- tdtr(df, col_names = list(entity_id_col = "person", timestamp_col = "time", latitude_col = "lat", longitude_col = "longitude"), group_col = NULL, max_error = 30) plot(df$lon, df$lat) segments(res100$seg_start_lon, res100$seg_start_lat, res100$seg_end_lon, res100$seg_end_lat, col = "blue") segments(res30$seg_start_lon, res30$seg_start_lat, res30$seg_end_lon, res30$seg_end_lat, col = "red")
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