HyperNiche Specifications

Model Fitting
Prediction
Data Types
Data Modifications
Data Formats
GIS Functionality
Graphs
Graph Examples
Help System
Limitations
System Requirements

HyperNiche Interface
HyperNiche Graphing Interface
 

 

Model Fitting
Nonparametric Multiplicative Regression
  • Local mean - uniform weights in window
  • Local mean - Gaussian weights
  • Local linear - Gaussian weights
Least-squares Multiple Linear Regression
  • Direct entry
  • Backwards elimination
  • Cross-validation
  • Monte-carlo test
Overfitting and Parsimony Controls
  • Built-in leave-one-out cross validation
  • Minimum average neighborhood size
  • Data:predictor ratio
  • Improvement criterion
  • Monte Carlo test
 
Prediction
  • GIS application - input of predictors grids, output of response grids
  • Predict responses for new cases
  • Estimate responses to categorical variables
 
Data Types
Response Variables
  • presence/absence
  • quantitative
Predictor Variables
  • quantitative
  • categorical
 
Data Modifications
  • Power transform
  • Log
  • Arcsine squareroot
  • Delete rows or columns
  • Multiply or add a constant
  • Shuffle within columns
  • Matrix editing
 
Data Formats
  • *.wk1
    (easy import/export from Excel and most statistical software)
  • File structure compatible with PC-ORD
  • Import/export *.xls, *.xlsx, *.csv format
  • GIS grid file (*.asc) input/output
 
GIS Functionality
  • Read multiple input grids
  • Write response grids for import to ESRI software
 
Graphs
  • Scatterplots of observations, estimates, and residuals
  • Simple scatterplots among all pairs of variables
  • Matrix scatterplots
  • Distributions
  • Boxplots
  • 2D response curves
  • 3D response surfaces
  • 3D contour plots
  • 3D rotation
  • Save as Windows metafile or paste into Office document
  • Color or black/white
 
Graph Examples
Response Points | Response Curves
Contour | Projection | Slices
Scatterplot | Scatterplot Matrix
Distributions | Boxplot

Help System
  • Context sensitive
  • Detailed and extensive
  • Companion pdf document explaining the rationale and detailing the underlying math
 
Limitations
  • 30 GIS input files (one file for each predictor variable)
  • 100 GIS output files (one file for each species)
  • 246-character file names
  • 1000 species
  • 500 habitat variables in the model at once (more can be included as potential variables)
  • 32,000 sample units (rows)
 
System Requirements
  • Operating System: Windows 98, NT, ME, 2000, XP, Vista, 7, 8, and 10
  • 80486 or higher CPU (including Pentium 4, Athlon, Celeron, etc.)
  • 8 MB RAM (more RAM means ability to analyze larger data sets)
  • 6 MB of available hard disk space
  • Guidelines for Network Installation of HyperNiche