Extracts the intermediate .putative_cluster assignments recorded during
cluster_track() when called with trace = TRUE.
Value
If bind = FALSE, a data.table containing .id and one column for each
recorded clustering stage. If bind = TRUE, a ctdf with the trace
columns appended. Returns NULL if no trace is stored.
Details
The stored trace is aligned to the ctdf by .id. When bind = TRUE,
.id must be identical in the trace and x; otherwise an error is raised.
The input x is not modified.
Examples
data(mini_ruff)
x = as_ctdf(mini_ruff)
cluster_track(x, trace = TRUE)
#> → Find putative cluster regions.
#> ! Repairing[1]...
#> → Local clustering.
#> ! Repairing[2]...
#> ! Compute lof scores...
putative_cluster_trace(x)
#> .id slice spatial_repair_1 dtscan spatial_repair_2 subset_by_minCluster
#> <int> <int> <int> <int> <int> <int>
#> 1: 1 NA NA NA NA NA
#> 2: 2 NA NA NA NA NA
#> 3: 3 1 1 NA NA NA
#> 4: 4 1 1 NA NA NA
#> 5: 5 1 1 1 1 1
#> ---
#> 272: 272 7 4 4 4 4
#> 273: 273 7 4 4 4 4
#> 274: 274 7 4 4 4 4
#> 275: 275 7 4 4 4 4
#> 276: 276 7 4 4 4 4
#> drop_false_cluster temporal_repair
#> <int> <int>
#> 1: NA NA
#> 2: NA NA
#> 3: NA NA
#> 4: NA NA
#> 5: 1 1
#> ---
#> 272: 4 4
#> 273: 4 4
#> 274: 4 4
#> 275: 4 4
#> 276: 4 4
putative_cluster_trace(x, bind = TRUE)
#> <ctdf: 276 locations, 4 clusters, 51 unassigned>
#>
#> timestamp location .id cluster lof slice
#> <POSc> <sfc_POINT> <int> <int> <num> <int>
#> 1: 2015-05-31 14:33:09 POINT (2768520 7462407) 1 0 NA NA
#> 2: 2015-05-31 15:12:44 POINT (2754196 7461678) 2 0 NA NA
#> 3: 2015-05-31 16:41:01 POINT (2750888 7456491) 3 0 NA 1
#> ---
#> 274: 2015-06-08 17:29:12 POINT (2866087 7439689) 274 4 1.463335 7
#> 275: 2015-06-08 18:17:42 POINT (2864375 7440720) 275 4 1.014616 7
#> 276: 2015-06-08 19:05:21 POINT (2869939 7439689) 276 4 1.124653 7
#> spatial_repair_1 dtscan spatial_repair_2 subset_by_minCluster
#> <int> <int> <int> <int>
#> 1: NA NA NA NA
#> 2: NA NA NA NA
#> 3: 1 NA NA NA
#> ---
#> 274: 4 4 4 4
#> 275: 4 4 4 4
#> 276: 4 4 4 4
#> drop_false_cluster temporal_repair
#> <int> <int>
#> 1: NA NA
#> 2: NA NA
#> 3: NA NA
#> ---
#> 274: 4 4
#> 275: 4 4
#> 276: 4 4