cluster_map: Visualize dialect groups with clustering methods
In dialectR: Doing Dialectometry in R

Description Usage Arguments Value Examples

Input a distance matrix, upon which clustering will be performed and projected unto a map.

1	cluster_map(dist_mat, kml_points, kml_polygon, cluster_num, method)

`dist_mat`	A distance matrix.
`kml_points`	A dataframe of kml (Keyhole Markup Language) points, as retrieved by `get_points`.
`kml_polygon`	A dataframe of kml polygons, as retrieved by `get_polygons`.
`cluster_num`	Number of clusters.
`method`	The agglomeration method that is passed to `hclust`. This can be chosen from the following: "ward.D", "ward.D2", "single", "complete", "average" (= UPGMA), "mcquitty" (= WPGMA), "median" (= WPGMC) or "centroid" (= UPGMC).

A map upon which dialect areas are clustered.

# Example 1: A cluster map of Dutch dialects
data(distDutch)
dutch_points <- get_points(system.file("extdata", "DutchKML.kml", package="dialectR"))
dutch_polygons <- get_polygons(system.file("extdata", "DutchKML.kml", package="dialectR"))
cluster_map(distDutch[1:100,1:100], dutch_points, dutch_polygons, 5, "ward.D2")