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Simapse – simulation maps for ecological niche modelling
Article first published online: 10 MAY 2012
© 2012 The Authors. Methods in Ecology and Evolution © 2012 British Ecological Society
Methods in Ecology and Evolution
Volume 3, Issue 5, pages 787–791, October 2012
How to Cite
Tarroso, P., Carvalho, S. B. and Brito, J. C. (2012), Simapse – simulation maps for ecological niche modelling. Methods in Ecology and Evolution, 3: 787–791. doi: 10.1111/j.2041-210X.2012.00210.x
- Issue published online: 5 OCT 2012
- Article first published online: 10 MAY 2012
- Received 22 February 2012; accepted 26 March 2012 Handling Editor: Robert Freckleton
- artificial neural networks;
- ecological niche modelling;
- species distribution
1. Artificial neural networks (ANNs) are known for their powerful predictive power in the analysis of both linear and nonlinear relationships. They have been successfully applied to several fields including ecological modelling and predictive species’ distributions.
2. Here we present Simapse – Simulation Maps for Ecological Niche Modelling, a free and open-source application written in Python and available to the most common platforms. It uses ANNs with back-propagation to build spatially explicit distribution models from species data (presence/absence, presence-only and abundance).
3. The main features include the automatic production of replicates with different sub-sampling methods and total control of ANN structure and learning parameters.
4. Simapse uses common text formats as main input and output and provides assessment of variable importance and behaviour and measurement of model fitness.