alexa Maximum entropy modeling of species geographic distributions.
Environmental Sciences

Environmental Sciences

Journal of Ecosystem & Ecography

Author(s): Steven J Phillips, Anderson RP, Schapire RE

Abstract Share this page

We study the problem of modeling species geographic distributions, a critical problem in conservation biology. We propose the use of maximum-entropy techniques for this prob- lem, specifically, sequential-update algorithms that can handle a very large number of fea- tures. We describe experiments comparing max- ent with a standard distribution-modeling tool, called GARP, on a dataset containing observation data for North American breeding birds. We also study how well maxent performs as a function of the number of training examples and train- ing time, analyze the use of regularization to avoid overfitting when the number of examples is small, and explore the interpretability of mod- els constructed using maxent.

  • To read the full article Visit
  • Open Access
This article was published in Ecological Modeling and referenced in Journal of Ecosystem & Ecography

Relevant Expert PPTs

Relevant Speaker PPTs

Recommended Conferences

Relevant Topics

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version