summary.nb {spdep}

Print and summary function for neighbours and weights lists

Description

The function prints summary measures for links in a neighbours list. If a matrix of coordinates is given as well, summary descriptive measures for the link lengths are also printed. Print and summary functions are also available for "listw" weights list objects, also reporting constants (S0, S1, S2) used in inference for global spatial autocorrelation statistics such as Moran's I, Geary's C, join-count tests and Getis-Ord G.

Usage

## S3 method for class 'nb'
summary(object, coords=NULL, longlat = NULL, scale = 1, ...)
## S3 method for class 'nb'
print(x, ...)
## S3 method for class 'listw'
summary(object, coords, longlat, zero.policy = attr(object, "zero.policy"), 
 scale = 1, adjust.n=TRUE, ...)
## S3 method for class 'listw'
print(x, zero.policy = attr(x, "zero.policy"), ...)

Arguments

object

an object of class nb

coords

matrix of region point coordinates or a SpatialPoints object or an sfc points object

longlat

TRUE if point coordinates are longitude-latitude decimal degrees, in which case distances are measured in kilometers; if coords is a SpatialPoints object, the value is taken from the object itself

...

additional arguments affecting the output produced

x

an object of class nb

zero.policy

default attr(listw, "zero.policy") as set when listw was created, if attribute not set, use global option value; if FALSE stop with error for any empty neighbour sets

scale

passed through to stem() for control of plot length

adjust.n

default TRUE, if FALSE the number of observations is not adjusted for no-neighbour observations, if TRUE, the number of observations in spweights.constants is adjusted

Author(s)

Roger Bivand [e-mail]

See Also

plot.nb

Examples

columbus <- st_read(system.file("shapes/columbus.gpkg", package="spData")[1], quiet=TRUE)
col.gal.nb <- read.gal(system.file("weights/columbus.gal", package="spData")[1])
coords <- st_centroid(st_geometry(columbus), of_largest_polygon=TRUE)
col.gal.nb
summary(col.gal.nb, coords)
col.listw <- nb2listw(col.gal.nb, style="W")
col.listw
summary(col.listw)
col_geoms <- st_geometry(columbus)
col_geoms[21] <- st_buffer(col_geoms[21], dist=-0.05)
st_geometry(columbus) <- col_geoms
nb <- poly2nb(columbus)
summary(nb)
try(nb2listw(nb, style="W"))
summary(nb2listw(nb, style="W", zero.policy=TRUE))
summary(nb2listw(nb, style="W", zero.policy=TRUE), adjust.n=FALSE)