data_rainforest

A marked point pattern dataset about four rainforest tree species.

datasets

The heterogeneity of spatial data presenting a finite number of categories can be measured via computation of spatial entropy. Functions are available for the computation of the main entropy and spatial entropy measures in the literature. They include the traditional version of Shannon's entropy, Batty's spatial entropy, O'Neill's entropy, Li and Reynolds' contagion index, Karlstrom and Ceccato's entropy, Leibovici's entropy, Parresol and Edwards' entropy and Altieri's entropy. References for all measures can be found under the topic 'SpatEntropy'. The package is able to work with lattice and point data.

L. Altieri

SpatEntropy

Spatial Entropy Measures

data_rainforest function

A <code>ppp</code> object (see package <code>spatstat</code>) with 7251 points, containing:<dl class="dl-horizontal">
<dt>window</dt><dd>An object of type <code>owin</code> (see package <code>spatstat</code>), the 1000x500 metres observation area</dd>
<dt>x, y</dt><dd>Numeric vectors with points' coordinates</dd>
<dt>marks</dt><dd>A character vector matching the tree species to the data points</dd>
</dl>

Format

Rainforest tree data. — data_rainforest

A <code>ppp</code> object (see package <code>spatstat</code>) with 7251 points, containing:<dl class='dl-horizontal'>
<dt>window</dt><dd>An object of type <code>owin</code> (see package <code>spatstat</code>), the 1000x500 metres observation area</dd>
<dt>x, y</dt><dd>Numeric vectors with points' coordinates</dd>
<dt>marks</dt><dd>A character vector matching the tree species to the data points</dd>
</dl>

data_rainforest: Rainforest tree data.

Description

Usage

Arguments

Format

Details