Compute Local Moran's I

Compute Local Moran's I

local_morans(shp, adj, wts, spatial_mat, epsg = 3857)

Arguments

shp

sf data frame. Optional if adj or spatial_mat provided.

adj

zero indexed adjacency list. Optional if shp or spatial_mat provided.

wts

Required. Numeric vector with weights to use for Moran's I.

spatial_mat

matrix of spatial weights. Optional if shp or adj provided.

epsg

numeric EPSG code to planarize to. Default is 3857.

Value

tibble

Examples

library(dplyr)
data('checkerboard')
checkerboard <- checkerboard %>% mutate(m = as.numeric((id + i) %% 2 == 0))
local_morans(shp = checkerboard, wts = checkerboard$m)
#> Warning: Planarizing skipped. `x` missing CRS.
#> # A tibble: 64 × 3
#>    moran expectation variance
#>    <dbl>       <dbl>    <dbl>
#>  1    -2     -0.0317     1.97
#>  2    -3     -0.0476     2.90
#>  3    -3     -0.0476     2.90
#>  4    -3     -0.0476     2.90
#>  5    -3     -0.0476     2.90
#>  6    -3     -0.0476     2.90
#>  7    -3     -0.0476     2.90
#>  8    -2     -0.0317     1.97
#>  9    -3     -0.0476     2.90
#> 10    -4     -0.0635     3.81
#> # ℹ 54 more rows