clust_it: Function for iterative clustering

In RichDeto/EPP: Evaluation of Proximity Programs

Function for iterative clustering

Description

The function clusters population to create service's centers. Iterates EPP::clust_pop for the remaining population in each step. It allows to define two distances of service and two group sizes for several rounds of iteration.

Usage

clust_it(pop, m = 5, l = 4, g1 = 5, g2 = g1 * 0.5, d1 = 1000, d2 = d1 * 2)

Arguments

pop	Population to attend (dataframe with three variables: x, y, and weight). x and y are plain coordinates in the defined CRS
m	Number of iteration rounds. Default 5
l	Number of iteration rounds with the first group size (g1). Default 4
g1	Size of the groups for the first l iterations. Default 50
g2	Size of the groups for the last m-l iterations. Default g1 * 0.5
d1	Distance range of service for the first iterations Default 1000
d2	Second distance range of service. Default double of d1

Value

Return a LIST with:

Clustered	Population assigned to created centers by clusterization
pop	Remaining non-assigned population

Examples

clu <- clust_it(pop = pop_epp)

RichDeto/EPP documentation built on May 5, 2022, 10:23 p.m.