Here is an example implementation of quadtree partitioning in C++:
#include <vector>
struct Point2D {
double x, y;
Point2D(double x_, double y_) : x(x_), y(y_) {}
};
struct QuadtreeNode {
std::vector<Point2D> points;
double size;
Point2D center;
QuadtreeNode* children[4];
// constructor
QuadtreeNode(double size_, Point2D center_) : size(size_), center(center_) {
for (int i = 0; i < 4; i++) {
children[i] = nullptr;
}
}
};
void insertPoint(QuadtreeNode* node, Point2D point) {
// check if point is inside the node's bounds
double halfSize = node->size / 2;
if (point.x >= node->center.x - halfSize && point.x <= node->center.x + halfSize &&
point.y >= node->center.y - halfSize && point.y <= node->center.y + halfSize) {
// if node is at maximum capacity, subdivide it
if (node->points.size() >= 4) {
double childSize = node->size / 2;
double x = node->center.x;
double y = node->center.y;
node->children[0] = new QuadtreeNode(childSize, Point2D(x - halfSize, y - halfSize));
node->children[1] = new QuadtreeNode(childSize, Point2D(x + halfSize, y - halfSize));
node->children[2] = new QuadtreeNode(childSize, Point2D(x - halfSize, y + halfSize));
node->children[3] = new QuadtreeNode(childSize, Point2D(x + halfSize, y + halfSize));
// redistribute points to children
for (Point2D p : node->points) {
for (int i = 0; i < 4; i++) {
insertPoint(node->children[i], p);
}
}
node->points.clear();
}
// add point to node
node->points.push_back(point);
}
}
QuadtreeNode* buildQuadtree(std::vector<Point2D>& points, double size, Point2D center) {
QuadtreeNode* root = new QuadtreeNode(size, center);
for (Point2D point : points) {
insertPoint(root, point);
}
return root;
}
This implementation assumes that a Point2D structure has been defined to represent 2D points with x and y coordinates, and that a vector of Point2D objects has been provided to represent the input data points. The implementation uses a recursive algorithm to subdivide the 2D space into quadrants and store the input data points in the appropriate quadrant. The resulting quadtree is a tree data structure where each internal node represents a quadrant of the 2D space and contains a vector of points that are contained within that quadrant, and each leaf node represents a single point.