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 homogeneously 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).

Definition at line 789 of file gserialized_estimate.c.

{
        int d, i, k, range;
        int *counts;
        double smin, smax;   /* Spatial min, spatial max */
        double swidth;       /* Spatial width of dimension */
#if POSTGIS_DEBUG_LEVEL >= 3
        double average, sdev, sdev_ratio;
#endif
        int   bmin, bmax;   /* Bin min, bin max */
        const ND_BOX *ndb;
 
        int num_bins = Min(Max(2, num_boxes/BIN_MIN_SIZE), MAX_NUM_BINS);
        counts = palloc0(num_bins * sizeof(int));
 
        /* For each dimension... */
        for ( d = 0; d < ndims; d++ )
        {
                /* Initialize counts for this dimension */
                memset(counts, 0, num_bins * sizeof(int));
 
 
                smin = extent->min[d];
                smax = extent->max[d];
                swidth = smax - smin;
 
                /* Don't try and calculate distribution of overly narrow */
                /* or overly wide dimensions. Here we're being pretty geographical, */
                /* expecting "normal" planar or geographic coordinates. */
                /* Otherwise we have to "handle" +/- Inf bounded features and */
                /* the assumptions needed for that are as bad as this hack. */
                if ( swidth < MIN_DIMENSION_WIDTH || swidth > MAX_DIMENSION_WIDTH )
                {
                        distribution[d] = 0;
                        continue;
                }
 
                /* Sum up the overlaps of each feature with the dimensional bins */
                for ( i = 0; i < num_boxes; i++ )
                {
                        double minoffset, maxoffset;
 
                        /* Skip null entries */
                        ndb = nd_boxes[i];
                        if ( ! ndb ) continue;
 
                        /* Where does box fall relative to the working range */
                        minoffset = ndb->min[d] - smin;
                        maxoffset = ndb->max[d] - smin;
 
                        /* Skip boxes that our outside our working range */
                        if ( minoffset < 0 || minoffset > swidth ||
                             maxoffset < 0 || maxoffset > swidth )
                        {
                                continue;
                        }
 
                        /* What bins does this range correspond to? */
                        bmin = floor(num_bins * minoffset / swidth);
                        bmax = floor(num_bins * maxoffset / swidth);
 
                        /* Should only happen when maxoffset==swidth */
                        if (bmax >= num_bins)
                                bmax = num_bins-1;
 
                        POSTGIS_DEBUGF(4, " dimension %d, feature %d: bin %d to bin %d", d, i, bmin, bmax);
 
                        /* Increment the counts in all the bins this feature overlaps */
                        for ( k = bmin; k <= bmax; k++ )
                        {
                                counts[k] += 1;
                        }
 
                }
 
                /* How dispersed is the distribution of features across bins? */
                // range = range_quintile(counts, num_bins);
                range = range_full(counts, num_bins);
 
#if POSTGIS_DEBUG_LEVEL >= 3
                average = avg(counts, num_bins);
                sdev = stddev(counts, num_bins);
                sdev_ratio = sdev/average;
 
                POSTGIS_DEBUGF(3, " dimension %d: range = %d", d, range);
                POSTGIS_DEBUGF(3, " dimension %d: average = %.6g", d, average);
                POSTGIS_DEBUGF(3, " dimension %d: stddev = %.6g", d, sdev);
                POSTGIS_DEBUGF(3, " dimension %d: stddev_ratio = %.6g", d, sdev_ratio);
#endif
 
                distribution[d] = range;
        }
 
        pfree(counts);
 
        return true;
}

References BIN_MIN_SIZE, ND_BOX_T::max, MAX_DIMENSION_WIDTH, MAX_NUM_BINS, ND_BOX_T::min, and range_full().

Referenced by compute_gserialized_stats_mode().

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