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| Main Author: | |
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| Format: | Dataset Open Access |
| Language: | en |
| Published: |
PANGAEA
2018
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| Subjects: | |
| Online Access: | https://doi.org/10.1594/PANGAEA.889924 |
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Table of Contents:
- Habitat suitability models (HSMs) are popular and used for a wide variety of applications but most do not include analysis of the uncertainty of the model. Additionally, some over-fit the data and few allow the ability to fill data gaps with expert opinion. HEMI 1 addressed issues with over-fitting data and allowed models to incorporate both occurrence data and expert opinion. HEMI 2 improves on HEMI 1 with a simplified interface and the ability to inject random noise into occurrence locations and environmental variable values to generate uncertainty maps. HEMI 2 uses Monte Carlo methods to perform uncertainty, validation, and sensitivity testing and generates mean and standard deviation habitat suitability maps.