Reputation: 53
How to check if any 2d point in boost r-tree is in a given rectangle? This is the website I was following to know r-tree in boost.
But I'm confused how to check if any point in r-tree lies within a given rectangle. C++ code would be appreciable.
Upvotes: 1
Views: 2062
Reputation: 2098
If I understand correctly you'd like to have a rtree containing points and to check if at least one of them intersects a rectangle or triangle. The code below presents how this can be done using spatial queries (rtree::query()
) and query iterators (rtree::qbegin()
and rtree::qend()
).
See also the documentation (http://www.boost.org/libs/geometry), section Spatial Indexes.
I didn't know which compiler you're using so the code below doesn't use any C++11 feature. For instance in C++11 instead of raw loops you could use algorithms like std::find_if()
with lambda expressions.
#include <iostream> // to print the results
#include <vector> // to store the points and results
// only for convenience
#include <boost/foreach.hpp>
// Boost.Geometry headers
#include <boost/geometry.hpp>
#include <boost/geometry/geometries/geometries.hpp>
#include <boost/geometry/index/rtree.hpp>
// convenient namespaces
namespace bg = boost::geometry;
namespace bgi = boost::geometry::index;
// convenient typedefs
typedef bg::model::point<double, 2, bg::cs::cartesian> point_t;
typedef bg::model::box<point_t> box_t;
typedef bg::model::ring<point_t, true, false> ring_t; // clockwise, open
typedef bgi::rtree<point_t, bgi::linear<16> > rtree_t;
int main()
{
// prepare a container of points
std::vector<point_t> points;
points.push_back(point_t(0, 0));
points.push_back(point_t(1, 1));
points.push_back(point_t(2, 2));
points.push_back(point_t(3, 3));
// build a rtree
rtree_t rtree(points.begin(), points.end());
// prepare a triangle (not intersecting any point)
ring_t triangle;
bg::append(triangle, point_t(0.5, 0.6));
bg::append(triangle, point_t(0.5, 1.5));
bg::append(triangle, point_t(1.4, 1.5));
// create axis-aligned bounding box of a triangle
box_t box = bg::return_envelope<box_t>(triangle);
// using rtree::query()
// rather naiive approach since all points intersecting a geometry are returned
{
// check if at least 1 point intersecting a box was found
std::vector<point_t> result;
rtree.query(bgi::intersects(box), std::back_inserter(result));
bool test = !result.empty();
std::cout << test << std::endl;
}
{
// check if at least 1 point intersecting a triangle was found
std::vector<point_t> result;
rtree.query(bgi::intersects(triangle), std::back_inserter(result));
bool test = !result.empty();
std::cout << test << std::endl;
}
{
// check if at least 1 point intersecting a triangle was found
// similar to the above but should be faster since during a spatial query
// a box is checked and triangle only if needed
std::vector<point_t> result;
rtree.query(bgi::intersects(box), std::back_inserter(result));
bool test = false;
BOOST_FOREACH(point_t const& pt, result)
{
if ( bg::intersects(pt, triangle) )
{
test = true;
break;
}
}
std::cout << test << std::endl;
}
// using iterative queries - rtree::qbegin() and rtree::qend()
// the query is stopped when the first point is found
{
// check if at least 1 point intersecting a box was found
bool test = rtree.qbegin(bgi::intersects(box)) != rtree.qend();
std::cout << test << std::endl;
}
{
// check if at least 1 point intersecting a triangle was found
bool test = rtree.qbegin(bgi::intersects(triangle)) != rtree.qend();
std::cout << test << std::endl;
}
{
// check if at least 1 point intersecting a triangle was found
// this version should be faster than the above because a box is checked
// during the spatial query and triangle only if needed
bool test = false;
// for each Point intersecting a box
for ( rtree_t::const_query_iterator it = rtree.qbegin(bgi::intersects(box)) ;
it != rtree.qend() ;
++it )
{
// check if this Point also intersects a triangle
if ( bg::intersects(triangle, *it) )
{
test = true;
break;
}
}
std::cout << test << std::endl;
}
}
Upvotes: 1
Reputation: 77474
R-trees only work on rectangles.
If you are storing non-rectangular data in an r-tree, it will only provide you candidates that you then need to check ("verify", "validate", "refine") in more detail.
The whole R-tree idea is approximating objects with the much simpler (efficient to store and manage) geometry of a bounding box, after all.
Maybe the boost libraries provide some helper functionality for this, but likely outside of the rtree package, in the geometry pacakge itself.
Upvotes: 3