toydata_sp1po

A small, synthetic data set for distribution modeling, consisting of
occurrence and environmental data, from Halvorsen (2013). The study area
consists of 40 grid cells, with 8 row and 5 columns, in which 10 presences
occur.

datasets

Tools for training, selecting, and evaluating maximum entropy
(and standard logistic regression) distribution models. This package
provides tools for user-controlled transformation of explanatory variables,
selection of variables by nested model comparison, and flexible model
evaluation and projection. It follows principles based on the maximum-
likelihood interpretation of maximum entropy modeling, and uses infinitely-
weighted logistic regression for model fitting. The package is described in
Vollering et al. (2019; <doi:10.1002/ece3.5654>).

Julien Vollering

MIAmaxent

A Modular, Integrated Approach to Maximum Entropy Distribution
Modeling

Sabrina Mazzoni

Rune Halvorsen

Steven Phillips

Michael Bedward

toydata_sp1po function

A data frame with 40 rows and 5 variables:<dl>
 <dt>RV</dt>
<dd>response variable, occurrence either presence or uninformed
 background</dd>
 <dt>EV11</dt>
<dd>explanatory variable: northing</dd> <dt>EV12</dt>
<dd>explanatory variable: easting</dd>
 <dt>EV13</dt>
<dd>explanatory
 variable: modified random uniform</dd>
 <dt>EV14</dt>
<dd>explanatory variable: random
 uniform</dd>
 
</dl>

Format

Occurrence and environmental toy data. — toydata_sp1po

A data frame with 40 rows and 5 variables:<dl>
 <dt>RV</dt>
<dd>response variable, occurrence either presence or uninformed
 background</dd>
 <dt>EV11</dt>
<dd>explanatory variable: northing</dd>

 <dt>EV12</dt>
<dd>explanatory variable: easting</dd>
 <dt>EV13</dt>
<dd>explanatory
 variable: modified random uniform</dd>
 <dt>EV14</dt>
<dd>explanatory variable: random
 uniform</dd>
 
</dl>

toydata_sp1po: Occurrence and environmental toy data.

Description

Usage

Arguments

Format