gtclust_poly: Hierarchical clustering with contiguity constraints between...

In comeetie/gtclust: Hierarchal clustering of geographic or temporal object with contiguity constraints

Hierarchical clustering with contiguity constraints between polygons

Description

This function take an sf data.frame and performs hierarchical clustering with contiguity constraints.

Usage

gtclust_poly(
  df,
  method = "ward",
  adjacency = "rook",
  scaling = "raw",
  display_progress = FALSE
)

Arguments

df	an sf data.frame with polygons like features
method	linkage criterion in ward (default) or average, median
adjacency	adjacency type to use "rook" (default) or queen
scaling	default scaling of the features in zscore (default) or raw (i.e. no scaling)
display_progress	boolean to set progression bar

Value

an hclust like object with additional slots

leafs_geometry

geometries of the dendrogram leafs as an sfc list

geotree

geometries of the dendrogram no-leafs node as an sfc list

data

The numeric data (eventually scaled) used for the clustering

centers

The protoypes of each tree nodes

comeetie/gtclust documentation built on Sept. 17, 2024, 12:45 a.m.