Optimizing Within-Distance Queries by Approximating Shapes with Maximal Bounded Boxes - Datasets

Csv and sql files for the underlying data.<br> Figure 9: Calculating the distance between various number and type of shapes, i.e. from polygons, rotated and axis aligned rectangles, to points, polygons, rotated and axis aligned rectangles.<br> Table 1: Calculating distance between shapes of various complexity, i.e. points, lines, quadrilaterals, hexagons, dodecagons, icosagons, pentacontagons.<br> Table 2: Comparing the ordering of the shapes when distance operation is calculated, (a) from polygons to rectangles, (b) from rectangles to polygons.<br> Table 5 &amp; 6: Within-distance and distance queries between (a) actual polygons, (b) their bounded rectangles, (c) actual polygons and points, (d) their bounded rectangles and points.用于存储底层数据的CSV（Comma-Separated Values）与SQL（Structured Query Language）文件。 图9：计算多种数量与类型的图形间的两两距离，涵盖多边形、旋转矩形（rotated rectangle）、轴对齐矩形（axis-aligned rectangle）与点等各类图形。 表1：计算不同复杂度的图形间的两两距离，涉及的图形包括点、直线、四边形、六边形、十二边形、二十边形与五十边形。 表2：对比执行距离计算操作时的图形排序规则，其中(a)为从多边形到矩形的排序，(b)为从矩形到多边形的排序。 表5与表6：处理四类图形组合的内部距离与距离查询任务：(a) 真实多边形之间、(b) 其包围矩形（bounding rectangle）之间、(c) 真实多边形与点之间、(d) 其包围矩形与点之间。