Information theory and adaptivity in the species distribution modeling. / Teoria da informação e adaptatividade na modelagem de distribuição de espécies.


IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia




Species distribution modeling is a technique the purpose of which is to estimate models based on ecological niche. These models can assist decision making processes, planning and carrying out actions aiming at environmental conservation and preservation. There are several tools designed for species distribution modeling, such as the open- Modeller framework, in which this work is inserted. Several Artificial Intelligence techniques have been used to develop algorithms for species distribution modeling, such as Maximum Entropy. However, traditional statistical tools do not offer packages with the Maximum Entropy algorithm, which is common to other techniques. Furthermore, although there is specific free software for species distribution modeling with the Maximum Entropy algorithm, this software is not open source. The basis of this work is the investigation of the species distribution modeling using Maximum Entropy. Thus, its aim is to define different strategies for the Maximum Entropy algorithm in the context of the species distribution modeling. For this, a set of possible alternatives to be explored and a set of metrics for evaluation and comparison of the different strategies were established. The most important results were: an adaptive Maximum Entropy algorithm, a parallel Maximum Entropy algorithm, an analysis of the regularization parameter and a variable selection method based on the Minimum Description Length principle, which uses learning by data compression.


minimum description length modelagem de distribuição de espécies species distribution modeling tecnologia adaptativa adaptive technology descrição com comprimento mínimo entropia máxima maximum entropy

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