st_block_nb

libpysal write that "block contiguity structures are relevant when defining neighbor relations based on membership in a regime. For example, all counties belonging to the same state could be defined as neighbors, in an analysis of all counties in the US."
Source: <a href="https://pysal.org/libpysal/generated/libpysal.weights.block_weights.html">libpysal</a>

An interface to 'spdep' to integrate with 'sf' objects and the 'tidyverse'.

Dexter Locke

sfdep

Spatial Dependence for Simple Features

Josiah Parry

st_block_nb function

<dl><dt>regime</dt>
<dd>a column identifying which spatial regime each element of <code>id</code> belongs</dd>
<dt>id</dt>
<dd>a column identifying unique observations</dd>
<dt>diag</dt>
<dd>default <code>FALSE</code>. If <code>TRUE</code>, includes diagonal element / the self.</dd></dl>

Arguments

libpysal write that "block contiguity structures are relevant when defining neighbor relations based on membership in a regime. For example, all counties belonging to the same state could be defined as neighbors, in an analysis of all counties in the US."
Source: <a href='https://pysal.org/libpysal/generated/libpysal.weights.block_weights.html'>libpysal</a>

Create Block Contiguity for Spatial Regimes — st_block_nb

<dl>

<dt>regime</dt>
<dd>a column identifying which spatial regime each element of <code>id</code> belongs</dd>


<dt>id</dt>
<dd>a column identifying unique observations</dd>


<dt>diag</dt>
<dd>default <code>FALSE</code>. If <code>TRUE</code>, includes diagonal element / the self.</dd>

</dl>

st_block_nb: Create Block Contiguity for Spatial Regimes

Description

Usage

Value

Arguments

Examples