User's Booklet

Simple, ecologically reasonable response surfaces pose difficult
challenges to traditional habitat modeling tools.  HyperNiche
provides tools that easily find complex response surfaces, such
as this hump that combines sigmoid and Gaussian curves.

• Build habitat models for species presence-absence (estimate likelihood of occurrence in relation to multiple habitat parameters or other predictors).
  
  
• Build habitat models for species abundance (estimate abundance in relation to predictors).
  
  
• Estimate physiological response surfaces in relation to 1, 2, or more environmental parameters.  Open your physiological variables as the response matrix and your environmental variables as the predictor matrix.
  
  
• Build empirical models of species diversity in relation to multiple predictors.  Place your diversity measures (calculated with PC-ORD or a spreadsheet) in the response matrix.
  
  
• Relate community ordination scores to multiple environmental variables.  Save your ordination scores in a spreadsheet, then open this as the response matrix and your environmental variables as the predictors.
  
  
• Optimize sample stratification – choose combinations of variable to maximize differences in a response variable among strata.  Place potential stratifying variables in the predictor matrix, then conduct a free search to find the best combination of variables for predicting the response.
  
  
• Build multiple regression models for any nonlinear response to multiple interacting factors.