neighbor_match_test {rgeoda}

Local Neighbor Match Test

Description

The local neighbor match test is to assess the extent of overlap between k-nearest neighbors in geographical space and k-nearest neighbors in multi-attribute space.

Usage

neighbor_match_test(
  df,
  k,
  scale_method = "standardize",
  distance_method = "euclidean",
  power = 1,
  is_inverse = FALSE,
  is_arc = FALSE,
  is_mile = TRUE
)

Arguments

df

A subset of sf object with selected variables. E.g. guerry[c("Crm_prs", "Crm_prp", "Litercy")]

k

a positive integer number for k-nearest neighbors searching.

scale_method

(optional) One of the scaling methods 'raw', 'standardize', 'demean', 'mad', 'range_standardize', 'range_adjust' to apply on input data. Default is 'standardize' (Z-score normalization).

distance_method

(optional) The type of distance metrics used to measure the distance between input data. Options are 'euclidean', 'manhattan'. Default is 'euclidean'.

power

(optional) The power (or exponent) of a number says how many times to use the number in a multiplication.

is_inverse

(optional) FALSE (default) or TRUE, apply inverse on distance value.

is_arc

(optional) FALSE (default) or TRUE, compute arc distance between two observations.

is_mile

(optional) TRUE (default) or FALSE, convert distance unit from mile to km.

Value

A data.frame with two columns "Cardinality" and "Probability".

Examples

library(sf)
guerry_path <- system.file("extdata", "Guerry.shp", package = "rgeoda")
guerry <- st_read(guerry_path)
data <- guerry[c('Crm_prs','Crm_prp','Litercy','Donatns','Infants','Suicids')]
nbr_test <- neighbor_match_test(data, 6)
nbr_test