Spatial outlier detection algorithms.
Class Summary Class Description AbstractDistanceBasedSpatialOutlier<N,O>Abstract base class for distance-based spatial outlier detection methods. AbstractNeighborhoodOutlier<O>Abstract base class for spatial outlier detection methods using a spatial neighborhood. CTLuGLSBackwardSearchAlgorithm<V extends NumberVector>GLS-Backward Search is a statistical approach to detecting spatial outliers. CTLuMeanMultipleAttributes<N,O extends NumberVector>Mean Approach is used to discover spatial outliers with multiple attributes. CTLuMedianAlgorithm<N>Median Algorithm of C. CTLuMedianMultipleAttributes<N,O extends NumberVector>Median Approach is used to discover spatial outliers with multiple attributes. CTLuMoranScatterplotOutlier<N>Moran scatterplot outliers, based on the standardized deviation from the local and global means. CTLuRandomWalkEC<O>Spatial outlier detection based on random walks. CTLuScatterplotOutlier<N>Scatterplot-outlier is a spatial outlier detection method that performs a linear regression of object attributes and their neighbors average value. CTLuZTestOutlier<N>Detect outliers by comparing their attribute value to the mean and standard deviation of their neighborhood. SLOM<N,O>SLOM: a new measure for local spatial outliers SOF<N,O>The Spatial Outlier Factor (SOF) is a spatial
TrimmedMeanApproach<N>A Trimmed Mean Approach to Finding Spatial Outliers.