Species Distribution Modeling Applications

In this application, we demonstrate how to spatially model biodiversity and the utility of Boosted Regression Trees (BRT) using methods and modified code from Elith et al. (2008). This application uses a combination of remotely sensed and GIS environmental layers to model floral diversity in the Bale Mountain, Ethiopia. The BRT model determines mathematical relationships between physical characteristics of a landscape (i.e., environmental layers) and unique species count data collected at geo-referenced field plots (i.e., response variable), to make spatially explicit predictions across the larger study site.

Modeling Spatial Biodiversity using Boosted Regression Trees PDF | DATA