cmp_int gbox_ndims gserialized_compute_stats MAX_DIMENSION_WIDTH MIN_DIMENSION_WIDTH nd_box_array_distribution nd_box_expand nd_box_from_gbox nd_box_init nd_box_init_bounds nd_box_intersects nd_box_merge nd_box_overlap nd_box_ratio_overlaps nd_increment nd_stats_value_index NUM_BINS range_quintile SDFACTOR Spatialset_analyze spatialset_compute_stats STATISTIC_KIND_2D STATISTIC_KIND_ND STATISTIC_SLOT_2D STATISTIC_SLOT_ND total_double Tpoint_analyze tpoint_compute_stats

nd_box_array_distribution() static int nd_box_array_distribution ( const ND_BOX **  nd_boxes, int  num_boxes, const ND_BOX *  extent, int  ndims, double *  distribution  ) static Calculate how much a set of boxes is homogenously distributed or contentrated within one dimension, returning the range_quintile of of the overlap counts per cell in a uniform partition of the extent of the dimension. A uniform distribution of counts will have a small range and will require few cells in a selectivity histogram. A diverse distribution of counts will have a larger range and require more cells in a selectivity histogram (to distinguish between areas of feature density and areas of feature sparseness. This measurement should help us identify cases like X/Y/Z data where there is lots of variability in density in X/Y (diversely in a multi-kilometer range) and far less in Z (in a few-hundred meter range).