Summarizing spatiotemporal clustering result

summary.spotoroo() is the summary method of the class spotoroo. It is a simple wrapper of summary_spotoroo().

Usage

# S3 method for spotoroo
summary(object, ...)

Arguments

object

spotoroo object. A result of a call to hotspot_cluster().

...

Additional arguments pass to summary_spotoroo()

Value

No return value, called for side effects

Examples

# \donttest{

  # Time consuming functions (>5 seconds)


  # Get clustering results
  result <- hotspot_cluster(hotspots,
                           lon = "lon",
                           lat = "lat",
                           obsTime = "obsTime",
                           activeTime = 24,
                           adjDist = 3000,
                           minPts = 4,
                           minTime = 3,
                           ignitionCenter = "mean",
                           timeUnit = "h",
                           timeStep = 1)
#> 
#> ──────────────────────────────── SPOTOROO 0.1.4 ────────────────────────────────
#> 
#> ── Calling Core Function : `hotspot_cluster()` ──
#> 
#> ── "1" time index = 1 hour 
#> ✔ Transform observed time → time indexes
#> ℹ 970 time indexes found
#> 
#> ── activeTime = 24 time indexes | adjDist = 3000 meters 
#> ✔ Cluster
#> ℹ 16 clusters found (including noise)
#> 
#> ── minPts = 4 hot spots | minTime = 3 time indexes 
#> ✔ Handle noise
#> ℹ 6 clusters left
#> ℹ noise proportion : 0.935 %
#> 
#> ── ignitionCenter = "mean" 
#> ✔ Compute ignition points for clusters
#> ℹ average hot spots : 176.7
#> ℹ average duration : 131.9 hours
#> 
#> ── Time taken = 0 mins 1 sec for 1070 hot spots 
#> ℹ 0.001 secs per hot spot
#> 
#> ────────────────────────────────────────────────────────────────────────────────


  # Make a summary
  summary(result)
#> 
#> ──────────────────────────────── SPOTOROO 0.1.4 ────────────────────────────────
#> 
#> ── Calling Core Function : `summary_spotoroo()` ──
#> 
#> CLUSTERS: ALL
#> OBSERVATIONS: 1070
#> FROM: 2019-12-29 13:10:00
#> TO:   2020-02-07 22:50:00
#> 
#> 
#> ── Clusters 
#> ℹ Number of clusters: 6
#> 
#> Observations in cluster
#>         Min.     1st Qu.        Mean     3rd Qu.        Max.
#>        111.0       131.0       176.7       233.2       256.0
#> Duration of cluster (hours)
#>         Min.     1st Qu.        Mean     3rd Qu.        Max.
#>        111.2       118.2       131.9       146.1       148.3
#> 
#> ── Hot spots (excluding noise) 
#> ℹ Number of hot spots: 1060
#> 
#> Distance to ignition points (m)
#>         Min.     1st Qu.        Mean     3rd Qu.        Max.
#>          0.0      2840.3      5058.2      6981.6     13452.7
#> Time from ignition (hours)
#>         Min.     1st Qu.        Mean     3rd Qu.        Max.
#>          0.0        25.2        62.5        98.2       148.3
#> 
#> ── Noise 
#> ℹ Number of noise points: 10 (0.93 %)
#> 
#> 
#> ────────────────────────────────────────────────────────────────────────────────
# }