Appendix B. A summary table of predictive techniques.
TABLE A2. Summary table of predictive techniques. Modeling techniques used for predicting tree-species distribution in Switzrland. Edited extract from Elith et al. (2006).
| No | Method |
Class of model, and explanation |
Data1 |
Software |
Key reference |
Modeler |
1 |
BRUTO |
regression, a fast implementation of a GAM |
pa |
R and S+, mda package |
Hastie et al. (2001), Leathwick et al. in press-b |
J. Elith |
2 |
BRT |
boosted regression trees |
pa |
R, GBM package |
Hastie et al. (2001), Leathwick et al. in press-a |
J. Elith |
3 |
BIOCLIM |
envelope model |
p |
DIVA-GIS |
Busby (1991), Hijmans et al. (2001) |
C. Graham |
4 |
DOMAIN |
multivariate distance |
p |
DIVA-GIS |
Carpenter et al. (1993), Hijmans et al. (2001) |
C. Graham |
5 |
GAM |
regression: generalized additive model |
pa |
S+, GRASP add-on |
Hastie and Tibshirani (1986), Yee and Mitchell (1991) |
A. Guisan |
6 |
OM-GARP |
New version of GARP |
p or pa |
NewDesktopGarp (www. cria.org.br) |
Stockwell and Peters (1999), Anderson et al. (2002) |
A.T. Peterson |
7 |
GLM |
regression; generalized linear model |
pa |
S-Plus, GRASP add-on |
Austin et al. (1983), McCullagh and Nelder (1989) |
A. Guisan |
8 |
MAXENT |
maximum entropy, implemented with thresholds features |
pe |
MAXENT |
Phillips et al. (2006) |
S. Phillips |
9 |
MARS |
regression; multivariate adaptive regression splines |
pa |
R, mda package |
Friedman (1991), Moisen and Frescino (2002) |
J. Elith |
10 |
GDMSS |
generalized dissimilarity modelling – single-species implementation |
pa |
Custom codes |
Ferrier et al. (2002) |
J. Elith |
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