genus

<p>Genus gives the abundance of 27 common tree genera in the tropical moist forest 
of the Congo-Basin and 40 geo-referenced environmental variables on one thousand 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. 
 14 physical factors were used pertaining the description of topography, geology and rainfall 
 of each plot. 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 

genus function


<table class="table">
<tr><td><code>gen1 to gen27</code></td><td>abundance of the 27 common genera.</td></tr>
<tr><td><code>altitude</code></td><td>above-sea level in meters.</td></tr>
<tr><td><code>pluvio_yr</code></td><td>mean annual rainfall.</td></tr>
<tr><td><code>forest</code></td><td>classified into seven classes.</td></tr>
<tr><td><code>pluvio_1 to pluvio_12</code></td><td>monthly rainfalls.</td></tr>
<tr><td><code>geology</code></td><td>5-level geological substrate.</td></tr>
<tr><td><code>evi_1 to evi_23</code></td><td>16-days enhanced vegetation indexes.</td></tr>
<tr><td><code>lon and lat</code></td><td>position of the plot centers.</td></tr>
<tr><td><code>surface</code></td><td>sampled area.</td></tr>
</table><p></p><p></p>

Format

Author

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


<table class='table'>
<tr><td><code>gen1 to gen27</code></td><td>abundance of the 27 common genera.</td></tr>
<tr><td><code>altitude</code></td><td>above-sea level in meters.</td></tr>
<tr><td><code>pluvio_yr</code></td><td>mean annual rainfall.</td></tr>
<tr><td><code>forest</code></td><td>classified into seven classes.</td></tr>
<tr><td><code>pluvio_1 to pluvio_12</code></td><td>monthly rainfalls.</td></tr>
<tr><td><code>geology</code></td><td>5-level geological substrate.</td></tr>
<tr><td><code>evi_1 to evi_23</code></td><td>16-days enhanced vegetation indexes.</td></tr>
<tr><td><code>lon and lat</code></td><td>position of the plot centers.</td></tr>
<tr><td><code>surface</code></td><td>sampled area.</td></tr>
</table>



Sample dataset of abundance of genera in tropical moist forest

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

Description

Arguments

Format

Author

References

`gen1 to gen27`	abundance of the 27 common genera.
`altitude`	above-sea level in meters.
`pluvio_yr`	mean annual rainfall.
`forest`	classified into seven classes.
`pluvio_1 to pluvio_12`	monthly rainfalls.
`geology`	5-level geological substrate.
`evi_1 to evi_23`	16-days enhanced vegetation indexes.
`lon and lat`	position of the plot centers.
`surface`	sampled area.