NeuralEnsembles: A neural network based ensemble forecasting program for habitat and bioclimatic suitability analysis

O'Hanley, J.R. (2009) NeuralEnsembles: A neural network based ensemble forecasting program for habitat and bioclimatic suitability analysis. Ecography, 32 (1). pp. 89-93. ISSN 0906-7590 . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1111/j.1600-0587.2008.05601.x...

Abstract

NeuralEnsembles is an integrated modeling and assessment tool for predicting areas of species habitat/bioclimatic suitability based on presence/absence data. This free, Windows based program, which comes with a friendly graphical user interface, generates predictions using ensembles of artificial neural networks. Models can quickly and easily be produced for multiple species and subsequently be extrapolated either to new regions or under different future climate scenarios. An array of options is provided for optimizing the construction and training of ensemble models. Main outputs of the program include text files of suitability predictions, maps and various statistical measures of model performance and accuracy.

Item Type: Article
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Faculties > Social Sciences > Kent Business School > Management Science
Depositing User: Jesse O'Hanley
Date Deposited: 03 Sep 2010 15:45
Last Modified: 05 Jan 2015 13:36
Resource URI: https://kar.kent.ac.uk/id/eprint/25472 (The current URI for this page, for reference purposes)
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