The quadtree is the two-dimensional case of a broader family of space-partitioning data structures. Octrees extend the same idea to three dimensions (splitting cubes into eight children), KD-trees use alternating axis-aligned splits (splitting along x, then y, then x again), and R-trees group nearby objects into bounding rectangles. Each variant makes different tradeoffs between construction time, query speed, and update cost.
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Let’s start with the small print. We asked 51 judges to select their top 50 men’s Ashes cricketers, from which we calculated a top 100: 50 points for No 1, 49 for No 2 and so on. The voting rules were simple. Players were assessed solely on their performances in Ashes cricket, though judges could interpret that any way they liked. (Yep, someone did vote for Gary Pratt.) The judges had to pick at least 15 players from each country and a minimum of five from each of five different eras: players who made their debut before the first world war; in the interwar years; from the second world war to 1974; from 1975 till 1999; and from 2000 onwards.