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
st_lnmt(
sfj,
varcol,
k,
unit = "km",
scale_method = "standardize",
distance_method = "euclidean",
power = 1,
is_inverse = FALSE
)Arguments
- sfj
An sf (simple feature) object.
- varcol
The variables selected to run local neighbor match test.
- k
A positive integer number for k-nearest neighbors searching.
- unit
(optional) The unit for calculating spatial distance, can be 'km'(default) or 'mile'.
- 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.
Author
Wenbo Lv lyu.geosocial@gmail.com
Examples
library(sf)
guerry = read_sf(system.file("extdata","Guerry.shp",package = "rgeoda"))
st_lnmt(guerry,c('Crm_prs','Crm_prp','Litercy','Donatns',
'Infants','Suicids'),6)
#> # A tibble: 85 × 2
#> Cardinality Probability
#> <int> <dbl>
#> 1 2 0.0526
#> 2 3 0.00374
#> 3 2 0.0526
#> 4 2 0.0526
#> 5 0 NA
#> 6 1 0.312
#> 7 1 0.312
#> 8 2 0.0526
#> 9 3 0.00374
#> 10 1 0.312
#> # ℹ 75 more rows