/** * The MIT License * Copyright (c) 2014-2016 Ilkka Seppälä * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN * THE SOFTWARE. */ package com.iluwatar.spatialpartition; import java.util.ArrayList; import java.util.Enumeration; import java.util.Hashtable; /** * The quadtree data structure is being used to keep track of the objects' locations. * It has the insert(Point) and query(range) methods to insert a new object and find * the objects within a certain (rectangular) range respectively. */ public class QuadTree { Rect boundary; int capacity; boolean divided; Hashtable points; QuadTree northwest; QuadTree northeast; QuadTree southwest; QuadTree southeast; QuadTree(Rect boundary, int capacity) { this.boundary = boundary; this.capacity = capacity; this.divided = false; this.points = new Hashtable(); this.northwest = null; this.northeast = null; this.southwest = null; this.southeast = null; } void insert(Point p) { if (!this.boundary.contains(p)) { return; } else { if (this.points.size() < this.capacity) { points.put(p.id, p); } else { if (!this.divided) { this.divide(); } if (this.northwest.boundary.contains(p)) { this.northwest.insert(p); } else if (this.northeast.boundary.contains(p)) { this.northeast.insert(p); } else if (this.southwest.boundary.contains(p)) { this.southwest.insert(p); } else if (this.southeast.boundary.contains(p)) { this.southeast.insert(p); } } } } void divide() { Rect nw = new Rect(this.boundary.x - this.boundary.width / 4, this.boundary.y + this.boundary.height / 4, this.boundary.width / 2, this.boundary.height / 2); this.northwest = new QuadTree(nw , this.capacity); Rect ne = new Rect(this.boundary.x + this.boundary.width / 4, this.boundary.y + this.boundary.height / 4, this.boundary.width / 2, this.boundary.height / 2); this.northeast = new QuadTree(ne , this.capacity); Rect sw = new Rect(this.boundary.x - this.boundary.width / 4, this.boundary.y - this.boundary.height / 4, this.boundary.width / 2, this.boundary.height / 2); this.southwest = new QuadTree(sw , this.capacity); Rect se = new Rect(this.boundary.x + this.boundary.width / 4, this.boundary.y - this.boundary.height / 4, this.boundary.width / 2, this.boundary.height / 2); this.southeast = new QuadTree(se , this.capacity); this.divided = true; } ArrayList query(Rect r, ArrayList relevantPoints) { //could also be a circle instead of a rectangle if (this.boundary.intersects(r)) { for (Enumeration e = this.points.keys(); e.hasMoreElements();) { Integer i = e.nextElement(); if (r.contains(this.points.get(i))) { relevantPoints.add(this.points.get(i)); } } if (this.divided) { this.northwest.query(r, relevantPoints); this.northeast.query(r, relevantPoints); this.southwest.query(r, relevantPoints); this.southeast.query(r, relevantPoints); } } return relevantPoints; } }