Interpolation - Interpolate a surface from point data using either a weighted-distance or potential surface model.
- Interpolate a surface from a set of contours by linear interpolation.
- Produce Thiessen polygons (a Voronoi Tessellation) about a set of irregularly distributed points.
- Calculate the best fit using up to a 9th order trend surface to a set of irregular cell control points by least-squares procedures.
TIN Interpolation - Generate a Triangulated Irregular Network (TIN) model from either isoline vertices or vector point input data using either a constrained or non-constrained Delaunay triangulation. Includes an optimization routine to remove bridge and tunnel edges.
- Generate a raster surface image from an existing TIN model.
Geostatistics - Spatial Dependence Modeler - modeling tools for spatial variability or spatial continuity using semivariogram, robust semivariogram, covariogram and correlogram, cross variogram, cross covariogram, and cross correlogram methods. Directional and surface variograms, h-scatterplots, indicator transform, and thresholding supported.
- Mathematical fitting of model variogram to sample variogram using spherical, exponential, Gaussian, linear, linear-with-sill, power, logarithmic, circular, pentaspherical, Bessel and periodic curves. Modeling geometric and zonal anisotropy supported.
- Surface interpolation using simple and ordinary kriging, simple and ordinary cokriging, and Gaussian simulation. Kriging options include cross-validation, block averaging, and stratified kriging. Statistical options for distance to simulation, nearest/farthest observation for each pixel, number of observations in neighborhood, and local quantile or median estimation are also supported. Local neighborhood and sample selection supported by a variety of methods.
Topographic Variables - Produce a slope gradient image from a surface model.
- Produce an aspect image from a surface model.
- Produce an analytical hillshading image from a surface model.
- Calculate the maximum rate of change along the slope of a pixel in the aspect and orthogonal directions.
- Calculate the fractal dimension of a surface.
Feature Extraction - Generate contours from any raster surface image at user-defined intervals.
- Classify a surface into eleven different features including: peak, ridge, saddle, flat, ravine, pit, convex hillside, saddle hillside, slope hillside, concave hillside, and inflection hillside.
- Remove local depressions from a surface image.
- Calculate convergent flow accumulation using a modified aspect algorithm.
- Calculate flow direction.
- Revised Universal Soil Loss Equation (RUSLE) model for modeling erosion potential.
- Determine the boundaries of watersheds and subwatersheds given a minimum subwatershed size or a seed image.
- Calculate slope length and determine image homogeneity.
 |
|
| | IDRISI includes a wide range of surface generation, interpolation and analysis routines. Upper left, Triangulated Irregular Network model created from digital contour data. Upper right, digital elevation model (DEM) created from the TIN with original contours overlaid. Lower right, illuminated DEM emphasizes relief. Lower left, false color composite image (TM bands 234) draped over the DEM. All data in this screenshot are from the Sierra de Gredos area of Spain. | |  |
 |
|
| | IDRISI provides a graphical user interface to Gstat, a program for geostatistical modeling, prediction and simulation written by Edzer J. Pebesma (Dept. of Physical Geography, Utrecht Univ.). Gstat is freely available under the GNU General Public License from http://www.gstat.org. Clark Labs' modifications of the Gstat code are available from Downloads. Three interfaces are provided -- Spatial Dependence Modeler, Model Fitting, and Kriging/Conditional Simulation. The screenshot shows some of the steps used to model a full rainfall surface from point data locations. | |  |
|