summary.SpatPatterns

Returns the below information about the <code>object</code>:
<code>call</code> of the function defining the <code>object</code>, the <code>type</code> of the pattern, <code>parameters</code> of the pattern,
study window, some sample points from the generated pattern, reference points (if any for the bivariate pattern),
and number of points for each class

Contains the functions for testing the spatial patterns (of segregation, spatial symmetry,
association, disease clustering, species correspondence, and reflexivity) based on nearest neighbor relations,
especially using contingency tables such as
nearest neighbor contingency tables (Ceyhan (2010) <doi:10.1007/s10651-008-0104-x> and
Ceyhan (2017) <doi:10.1016/j.jkss.2016.10.002> and references therein),
nearest neighbor symmetry contingency tables (Ceyhan (2014) <doi:10.1155/2014/698296>),
species correspondence contingency tables and reflexivity contingency tables (Ceyhan (2018)
<doi:10.2436/20.8080.02.72> for two (or higher) dimensional data.
The package also contains functions for generating patterns of segregation, association,
uniformity in a multi-class setting (Ceyhan (2014) <doi:10.1007/s00477-013-0824-9>),
and various non-random labeling patterns for disease clustering
in two dimensional cases (Ceyhan (2014)
<doi:10.1002/sim.6053>), and for visualization of all these patterns
for the two dimensional data.
The tests are usually (asymptotic) normal z-tests or chi-square tests.

Elvan Ceyhan

nnspat

Nearest Neighbor Methods for Spatial Patterns

summary.SpatPatterns function

<dl><dt>object</dt>
<dd>Object of class <code>SpatPatterns</code>.</dd>
<dt>...</dt>
<dd>Additional parameters for <code>summary</code>.</dd></dl>

Arguments

Return a summary of a SpatPatterns object — summary.SpatPatterns

<dl>

<dt>object</dt>
<dd>Object of class <code>SpatPatterns</code>.</dd>


<dt>...</dt>
<dd>Additional parameters for <code>summary</code>.</dd>

</dl>

summary.SpatPatterns: Return a summary of a `SpatPatterns` object

Description

Usage

Value

Arguments

Examples