Graham, Jim (2018): Environmental layers and synthetic data for visualizing uncertainty in habitat suitability models with HEMI 2 [dataset]. Humboldt State University, CA, PANGAEA, https://doi.org/10.1594/PANGAEA.889924

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.