knn_weights {rgeoda}

K-Nearest Neighbors-based Spatial Weights

Description

Create a k-nearest neighbors based spatial weights

Usage

knn_weights(
  sf_obj,
  k,
  power = 1,
  is_inverse = FALSE,
  is_arc = FALSE,
  is_mile = TRUE
)

Arguments

sf_obj

An sf (simple feature) object

k

a positive integer number for k-nearest neighbors

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

An instance of Weight-class

Examples

library(sf)
guerry_path <- system.file("extdata", "Guerry.shp", package = "rgeoda")
guerry <- st_read(guerry_path)
knn6_w <- knn_weights(guerry, 6)
summary(knn6_w)