dataGen

<p>dataGen gives the abundance of 8 common tree genera in the tropical moist forest
of the Congo-Basin and 58 geo-referenced variables on 2615 8-by-8 km plots
 (observations). Each plot's data was obtained by aggregating the data measured on a variable
 number of previously sampled 0.5 ha sub-plots. Geo-referenced environmental variables were
 used to describe the physical factors as well as vegetation characteristics.
 On each plot, 34 physical factors were used pertaining the description of topography, geology, rainfall... 
 Vegetation is characterized through 16-days enhanced vegetation index (EVI) data.</p>

An extension of the Fisher Scoring Algorithm to combine PLS regression with GLM
estimation in the multivariate context. Covariates can also be grouped in themes.

Guillaume Cornu

SCGLR

Supervised Component Generalized Linear Regression

Frederic Mortier

Catherine Trottier

Xavier Bry

Jocelyn Chauvet

Sylvie Gourlet-Fleury

Claude Garcia

GAMBAS 

dataGen function


<table class="table">
<tr><td><code>Y</code></td><td>matrix giving the abundance of 8 common genera (matrix size = 2615*8).</td></tr>
<tr><td><code>X</code></td><td>matrix of 56 geo-referenced environmental variables (matrix size = 2615*56).</td></tr>
<tr><td><code>AX</code></td><td>matrix of 2 additionnal explanatory variables (geology and anthropic interference).</td></tr>
<tr><td><code>offset</code></td><td>sampled area.</td></tr>
<tr><td><code>random</code></td><td>forest concession id number.</td></tr>
</table><p></p><p></p>

Format

Author

Sample dataset of abundance of genera in tropical moist forest — dataGen


<table class='table'>
<tr><td><code>Y</code></td><td>matrix giving the abundance of 8 common genera (matrix size = 2615*8).</td></tr>
<tr><td><code>X</code></td><td>matrix of 56 geo-referenced environmental variables (matrix size = 2615*56).</td></tr>
<tr><td><code>AX</code></td><td>matrix of 2 additionnal explanatory variables (geology and anthropic interference).</td></tr>
<tr><td><code>offset</code></td><td>sampled area.</td></tr>
<tr><td><code>random</code></td><td>forest concession id number.</td></tr>
</table>



Sample dataset of abundance of genera in tropical moist forest

dataGen: Sample dataset of abundance of genera in tropical moist forest

Description

Arguments

Format

Author

References

`Y`	matrix giving the abundance of 8 common genera (matrix size = 2615*8).
`X`	matrix of 56 geo-referenced environmental variables (matrix size = 2615*56).
`AX`	matrix of 2 additionnal explanatory variables (geology and anthropic interference).
`offset`	sampled area.
`random`	forest concession id number.