Create a distance-based weights
distance_weights(
sf_obj,
dist_thres,
power = 1,
is_inverse = FALSE,
is_arc = FALSE,
is_mile = TRUE
)An sf (simple feature) object
A positive numeric value of distance threshold
(optional) The power (or exponent) of a number indicates how many times to use the number in a multiplication.
(optional) FALSE (default) or TRUE, apply inverse on distance value
(optional) FALSE (default) or TRUE, compute arc distance between two observations
(optional) TRUE (default) or FALSE, convert distance unit from mile to km.
An instance of Weight-class
library(sf)
#> Linking to GEOS 3.11.0, GDAL 3.5.3, PROJ 9.1.0; sf_use_s2() is TRUE
guerry_path <- system.file("extdata", "Guerry.shp", package = "rgeoda")
guerry <- st_read(guerry_path)
#> Reading layer `Guerry' from data source
#> `/Users/runner/work/_temp/Library/rgeoda/extdata/Guerry.shp'
#> using driver `ESRI Shapefile'
#> Simple feature collection with 85 features and 29 fields
#> Geometry type: MULTIPOLYGON
#> Dimension: XY
#> Bounding box: xmin: 47680 ymin: 1703258 xmax: 1031401 ymax: 2677441
#> Projected CRS: NTF (Paris) / Lambert zone II
dist_thres <- min_distthreshold(guerry)
dist_w <- distance_weights(guerry, dist_thres)
summary(dist_w)
#> name value
#> 1 number of observations: 85
#> 2 is symmetric: TRUE
#> 3 sparsity: 0.0434602076124567
#> 4 # min neighbors: 1
#> 5 # max neighbors: 7
#> 6 # mean neighbors: 3.69411764705882
#> 7 # median neighbors: 4
#> 8 has isolates: FALSE