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The algorithms

Here is a list of the geoanalysis algorithms currently available in SEXTANTE:

  • Analysis tools for raster layers
    • Analytical Hierarchy Process (AHP).
    • Change Vector Analysis.
    • Ordered Weighted Average (OWA).
    • Predictive models.
    • ROC Curve.
    • Soft classification
    • Supervised Classification
    • Unsupervised classification (clustering).
  • Basic hydrological analysis
    • A simple hydrological model.
    • Channel network.
    • Creature synthetic hyetograph.
    • Flow accumulation.
    • Geomorphological instantaneous Unit Hydrograph.
    • Sink filling.
    • Time to outlet.
    • Upslope area from outlet zone.
    • Upslope area from a single point.
    • Watersheds.
  • Basic tools for raster layers
    • Aggregate.
    • Basic statistics.
    • Change data type.
    • Complete grid.
    • Correlation between layers.
    • Crop grid with polygon layer.
    • Crop to valid data cells.
    • Gradient lines.
    • Histogram.
    • Invert mask.
    • Merge grids.
    • Mirror/flip.
    • Normalize.
    • Sort.
    • User-defined 3 X 3 filter.
    • Void filling.
    • Void filling (nearest neighbour).
    • Volume calculation. .
    • Volumen between two layers.
  • Raster buffers
    • Buffer.
    • Threshold buffer.
  • Calculus tools for raster layer
    • Raster calculator.
  • Cost, distances and routes
    • Accumulated cost (anisotropic).
    • Accumulated cost (combined).
    • Accumulated cost (isotropic).
    • Cost in predefined routes.
    • Cost in predefined routes (anisotropic).
    • Generate alternative routes.
    • Least cost path.
    • Polar to rect.
    • Rect to polar.
    • Sum of cost to all points.
  • Focal statistics
    • Equal values count.
    • Kurtosis (neighbourhood).
    • Larger values count (neighbourhood).
    • Lower values count (neighbourhood).
    • Maximum (neighbourhood)
    • Mayority (neighbourhood)
    • Mean (neighbourhood)
    • Median (neighbourhood).
    • Minimum (neighbourhood).
    • Minority (neighbourhood).
    • Radius of variance.
    • Range (neighbourhood).
    • Skeweness (neighbourhood).
    • Variance (neighbourhood).
  • Fuzzy logic
    • Fuzzify.
  • Geomorphometry and terrain analysis
    • Anisotropic coefficient of variation.
    • Aspect.
    • Convergence index.
    • Curvatures.
    • Elevation-relief ratio.
    • Hypsometry.
    • Landform classification.
    • Protection index.
    • Real area.
    • Slope.
  • Geostatistics
    • Semivariances (raster).
  • Image processing
    • Calibrate an image.
    • Calibrate an image (regression).
    • Contrast stretching.
    • Detect and vectorize individual trees.
    • Equalize.
    • Erosion/Dilation.
    • HIS -> RGB.
    • RGB -> HIS.
    • Thinning.
  • Indices and other hydrological parameters
    • C factor from NDVI.
    • Distance to channel network.
    • Edge contamination.
    • Elevation over channel network.
    • Max. value uphill.
    • Mean value uphill.
    • Net Balance.
    • Slope length.
    • Strahler Order.
    • Topographic indices.
  • Local statistics
    • Equal values count.
    • Kurtosis.
    • Larger values count.
    • Lower values count.
    • Maximum.
    • Maximum value layer.
    • Mayority.
    • Mean.
    • Median.
    • Minimum.
    • Minimum value layer.
    • Minority.
    • Range.
    • Skewness.
    • Variance.
  • Location/allocation
    • Location/allocation.
  • Pattern analysis
    • Diversity.
    • Dominace.
    • Fragmentation. .
    • Number of different classes.
  • Profiles
    • Cross sections.
    • Flow line profile.
    • Profile.
  • Raster creation tools
    • Constant grid.
    • Grid from function.
    • Random DEM.
    • Random grid (Bernoulli).
    • Random grid (normal).
    • Random grid (uniform).
  • Rasterizacion and interpolation
    • Density.
    • Density (kernel).
    • Inverse Distance Weighting (IDW).
    • Kriging.
    • Linear decrease.
    • Nearest neighbour.
    • Rasterize vector layer.
    • Universal Kriging.
  • Reclassify raster layers
    • Divide in n classes of equal amplitude.
    • Divide in n classes of equal area.
    • Reclassify.
    • Reclassify in disjoint classes.
    • Reclassify in ordered classes.
  • Statistical methods
    • Bernoulli probability distribution.
    • Chi squared probability distribution.
    • Covariance matrix.
    • Exponencial probability distribution.
    • Multiple regression.
    • Normal probability distribution.
    • Principal Components Analysis.
    • Regression.
    • Student's probability distribution.
  • Table tools
    • Basic statistics.
    • Correlation between fields.
    • Save as CSV.
  • Tools for categorical raster layers
    • Aggregation index.
    • Class statistics.
    • Combine grids.
    • Cross checking(Kappa index).
    • Filter clumps.
    • Fragstats (area/density/edge metrics).
    • Fragstats (diversity metrics).
    • Grids from table and classified grid.
  • Tools for line layers
    • Change line direction.
    • Directional mean.
    • Lines to equispaced points.
    • Polylines to polygons.
    • Simplify lines
    • Sinuosity.
    • Split lines with points layer.
  • Tools for point layers
    • Distance matrix.
    • Mean center and standard distance.
    • Median center.
    • Minimum enclosing shapes.
    • Nearest neighbour analysis.
    • Points layer from table.
    • Quadrant analysis.
    • Ripley's K.
    • Sample raster layers.
    • Snap points to layer.
    • Spatial autocorrelation.
    • Spatial cluster.
  • Tools for polygon layers
    • Centroids.
    • Count points in polygons.
    • Geometric properties of polygons.
    • Grid statistics in polygons.
    • Point statistics in polygons.
    • Polygons to polylines.
  • Tools for vector layers
    • Adjust n point polygon.
    • Basic statistics.
    • Buffer.
    • Cluster.
    • Correlation between fields.
    • Clip. Th
    • Create graticule.
    • Field calculator.
    • Merge.
    • Disolve
    • Union
    • Difference
    • Intersection
    • Transform.
  • Vectorization
    • Contour lines.
    • Raster layer to points layer. T
    • Vectorize raster layer (lines).
    • Vectorize raster layer (polygons).
  • Vegatation indices
    • CTVI.
    • NDVI.
    • NRVI.
    • PVI(Perry and Lautenschlager).
    • PVI(Qi et al).
    • PVI(Richardson and Wiegand).
    • PVI(Walther and Shabaani).
    • TTVI.
    • TVI.
  • Visibility and lighting
    • Horizon blockage.
    • Line of sight.
    • Shaded relief.
    • Solar radiation.
    • Visibility.
    • Visual exposure.
(last edited October 13, 2008) - Read Only [info] [diff])
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