\( \newcommand{\E}{\mathrm{E}} \) \( \newcommand{\A}{\mathrm{A}} \) \( \newcommand{\R}{\mathrm{R}} \) \( \newcommand{\N}{\mathrm{N}} \) \( \newcommand{\Q}{\mathrm{Q}} \) \( \newcommand{\Z}{\mathrm{Z}} \) \( \def\ccSum #1#2#3{ \sum_{#1}^{#2}{#3} } \def\ccProd #1#2#3{ \sum_{#1}^{#2}{#3} }\)

CGAL 4.8 - dD Spatial Searching

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Spatial_searching/iso_rectangle_2_query.cpp
#include <CGAL/Simple_cartesian.h>
#include <CGAL/Kd_tree.h>
#include <CGAL/point_generators_2.h>
#include <CGAL/algorithm.h>
#include <CGAL/Fuzzy_iso_box.h>
#include <CGAL/Search_traits_2.h>
typedef CGAL::Simple_cartesian<double> K;
typedef K::Point_2 Point_d;
typedef CGAL::Random_points_in_square_2<Point_d> Random_points_iterator;
typedef CGAL::Counting_iterator<Random_points_iterator> N_Random_points_iterator;
typedef CGAL::Search_traits_2<K> Traits;
typedef CGAL::Kd_tree<Traits> Tree;
typedef CGAL::Fuzzy_iso_box<Traits> Fuzzy_iso_box;
int
main() {
const int N = 1000;
std::list<Point_d> points;
points.push_back(Point_d(0,0));
Tree tree;
Random_points_iterator rpg;
for(int i = 0; i < N; i++){
tree.insert(*rpg++);
}
std::list<Point_d> result;
// define range query
Point_d p(0.2, 0.2);
Point_d q(0.7, 0.7);
// Searching an exact range
// using default value 0.0 for epsilon fuzziness paramater
Fuzzy_iso_box exact_range(p,q);
tree.search( std::back_inserter( result ), exact_range);
std::cout << "The points in the box [0.2, 0.7]^2 are: " << std::endl;
std::copy (result.begin(), result.end(), std::ostream_iterator<Point_d>(std::cout,"\n") );
std::cout << std::endl;
result.clear();
// Searching a fuzzy range
// using value 0.1 for fuzziness paramater
Fuzzy_iso_box approximate_range(p, q, 0.1);
tree.search(std::back_inserter( result ), approximate_range);
std::cout << "The points in the fuzzy box [[0.1, 0.3], [0.6, 0.9]]^2 are: "
<< std::endl;
std::copy (result.begin(), result.end(), std::ostream_iterator<Point_d>(std::cout,"\n") );
std::cout << std::endl;
return 0;
}