Add clustering information to a dataframe

Clustering is used to assign individual measurements to deployment locations.

The value of clusterRadius is compared with the output of cluster::pam(...)$clusinfo[,'av_diss'] to determine the number of clusters.

addClustering(
  tbl,
  clusterDiameter = 1000,
  lonVar = "longitude",
  latVar = "latitude",
  maxClusters = 50,
  flagAndKeep = FALSE
)

Arguments

tbl	tibble with geolocation information (e.g. created by wrcc_qualityControl() or airsis_qualityControl)
clusterDiameter	diameter in meters used to determine the number of clusters (see description)
lonVar	name of longitude variable in the incoming tibble
latVar	name of the latitude variable in the incoming tibble
maxClusters	maximum number of clusters to try
flagAndKeep	flag, rather then remove, bad data during clustering

Value

Input tibble with additional columns: deploymentID, medoidLon, mediodLat.

References

When k-means clustering fails