hemi 2 hyper-envelope modeling interface 2 uses bezier curves to minimize over- fitting allows...

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HEMI 2 Hyper-Envelope Modeling Interface 2 Uses Bezier curves to minimize over-fitting Allows automatic fitting with manual adjustment Provides interactive mode for developing models and batch model (“Monte Carlo”) for validation and uncertainty analysis.

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  • Slide 1
  • HEMI 2 Hyper-Envelope Modeling Interface 2 Uses Bezier curves to minimize over- fitting Allows automatic fitting with manual adjustment Provides interactive mode for developing models and batch model (Monte Carlo) for validation and uncertainty analysis.
  • Slide 2
  • Germination Percentage Shrestha, A., E. S. Roman, A. G. Thomas, and C. J. Swanton. 1999. Modeling germination and shoot-radicle elongation of Ambrosia artemisiifolia. Weed Science 47:557-562.
  • Slide 3
  • Maraghni, M., M. Gorai, and M. Neffati. 2010. Seed germination at different temperatures and water stress levels, and seedling emergence from different depths of Ziziphus lotus. South African Journal of Botany 76:453-459. Over-fitting The Data? What should the model look like? Maxent model for Tamarix in the US: response to temperature when modeled with temperature and precipitation
  • Slide 4
  • Niche Temperature Salinity Population Growth +0-+0- +0-+0- Temperature Salinity From the Theory of Biogeography Brown, J.H., Lomolino, M.V. 1998, Biogeography: Second Edition. Sinauer Associates, Sinauer Massachusetts Environmental Space
  • Slide 5
  • Problems with Polynomials Lack flexibility Not well behaved at boundaries f(x) = a 0 + a 1 x + a 2 x 2 +... + a n x n, where a n 0 and n 2 Wikipedia.com
  • Slide 6
  • US Environmental Space
  • Slide 7
  • Tamarisk Occurrences United States Environmental Space
  • Slide 8
  • Alternatives to Polynomials BioClim max and max boxes BioMapper 25x25 grid of boxes DOMAIN Distance to existing point NPMR Hyper-Envelope Modeling Bezier Curves Multivariate adaptive regression splines
  • Slide 9
  • Bezier and Spline Curves Wikiepedia.com P1P1 P0P0 P2P2 P3P3
  • Slide 10
  • Modified Bezier Curves 08/10/2009International Biological Information Science P2P2 P3P3 P0P0 P1P1 S2S2 S1S1 S0S0 S3S3
  • Slide 11
  • Tamarisk Occurrences United States Environmental Space
  • Slide 12
  • HEMI Tamarix Model 08/10/2009International Biological Information Science 338546 Annual Precipitation (mm) 107 -231 Min Temp of coldest Month (C*10) Potential Habitat Unsuitable Habitat 5 Points -> 10 Parameters AUC: 0.76
  • Slide 13
  • Models for Tamarisk in W.U.S.
  • Slide 14
  • Results MethodTrain AUC Number of Parameters Test AUC HEMI Automatic0.75100.76 HEMI Edited0.73100.73 BioClim0.6780.68 BioMapper Median0.746250.72 Maxent0.771820.78
  • Slide 15
  • Potential Habitat 08/10/2009International Biological Information Science Potential Habitat Unsuitable Habitat
  • Slide 16
  • Global Tamarisk Map? 08/10/2009International Biological Information Science 1.0 Habitat Suitability 2.0
  • Slide 17
  • Limits of HEMI 1 Computation limits as the number of predictors increased Problems visualizing combinations of predictors beyond 2
  • Slide 18
  • HEMI 2 Limited to one response curve per predictor Similar to MaxEnt and traditional regression Predictors can be transformed to adapt for this to some extent Up to 10 predictors New interactive interface with immediate feedback
  • Slide 19
  • HEMI Model 1 st point is tied to the left edge and the bottom Last point is tied to the left edge and the bottom Remaining Points can be moved vertically and horizontally