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

In SCnext/SCGLR: Supervised Component Generalized Linear Regression

Sample dataset of abundance of genera in tropical moist forest

Description

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.

Format

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.

Note

The use of this dataset for publication must make reference to the CoForChange project.

Author(s)

CoForChange project

References

S. Gourlet-Fleury et al. (2009–2014) CoForChange project: http://coforchange.cirad.fr/

C. Garcia et al. (2013–2015) CoForTips project: https://www.cofortips.org/

SCnext/SCGLR documentation built on Feb. 10, 2024, 1:44 p.m.