Mutation count"

In SMMT: The Swiss Municipal Data Merger Tool Maps Municipalities Over Time

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(SMMT)

Let's use the SMMT package and the municipality inventory data to analyse the number of mutations.

By now, we know that municipalities change frequently in Switzerland. To get a better grasp, how often mutations occur, we can analyse the yearly frequency of these changes.

start_date <- seq.Date(as.Date("1960-01-01"), to = as.Date("2022-01-01"), by = "1 year")

res <- mutation_count(mutations = mutations_object$mutations, 
                      start_date, start_date + lubridate::years(1), 
                      territorial_changes_only = FALSE)


p <- ggplot(data = res, aes(start_date, number_of_mutations_in_period)) + geom_bar(stat = "identity")
print(p)

This calculation also includes the administrative changes as well. Mutations that had a territorial effect can be calculated as follows:

res <- territorial_mutation_count(mutations = mutations_object$mutations, 
                      start_date, start_date + lubridate::years(1))

p <- ggplot(data = res, aes(start_date, number_of_mutations_in_period)) + geom_bar(stat = "identity")
print(p)

SMMT documentation built on April 4, 2022, 1:07 a.m.