Environmental Engineering Reference
In-Depth Information
Fig. 14.4 Classification of presence of oilseed rape by crop type (C2-Type: crop type 2 years
before the sampling date; C5-Type: crop type 5 years before the sampling date; types are Oilseed,
Miscellaneous (Misc.), Cereal, Vegetable, grass ley or set aside (Ley)) (correctly classified
instances: 60.7%) (Debeljak et al. 2008)
Fig. 14.5 Classification of
presence of oilseed rape by
the abundance of plants (m 2 )
of particular functional
groups (SloDet - slow,
determinate development;
SloOut - slow development
living below the crop canopy;
FasIdt - fast indeterminate
development) (correctly
classified instances: 63.8%)
(Debeljak et al. 2008)
14.6 Conclusion
This chapter introduced decision trees as one of the most popular machine learning
techniques used for ecological modelling. It also gave an overview of the use of
decision trees in ecological modelling with a particular focus on population
dynamic and habitat suitability modelling. We have shown that the applications
of machine learning to population dynamic and habitat suitability modelling can be
grouped along two dimensions. One dimension is the type of environment where
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