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Map LISA clusters

Source: R/spatial-stats.R
lisa_map.Rd

The map of local_morans(): countries coloured by cluster type, with non-significant ones left neutral. Hot spots (High-High) and cold spots (Low-Low) read immediately; the off-diagonal categories are the spatial outliers.

Usage

lisa_map(data, value, weights = NULL, n_perm = 999, alpha = 0.05, ...)

Arguments

data

A map-ready frame (polygon or sf) with iso3c.

value

The value column (unquoted).

weights

A country_weights() object.

n_perm, alpha

Passed to local_morans().

...

Passed to world_map().

Value

A ggplot object, with the local_morans() table attached as the "countryatlas_lisa" attribute.

See also

local_morans(), morans_i()

Examples

# \donttest{
snap <- countryatlas::world_snapshot$countries
if (requireNamespace("maps", quietly = TRUE)) {
  set.seed(1)
  attach_geometry(snap, geometry = "polygon") |>
    lisa_map(gdp_per_capita, weights = country_weights("knn", k = 5),
             n_perm = 99)
}

# }