# Convex Hull of Polygon using Boost.Geometry

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Rcpp can be used to convert basic R data types to and from Boost.Geometry models.

In this example we take a matrix of 2d-points and convert it into a Boost.Geometry polygon. We then compute the convex hull of this polygon using a Boost.Geometry function `boost::geometry::convex_hull`

. The convex hull is then converted back to an R matrix.

The conversions to and from R and Boost.Geometry types are are done using two custom `as()`

and `wrap()`

convenience converter functions.

#includeusing namespace Rcpp; #include #include #include BOOST_GEOMETRY_REGISTER_BOOST_TUPLE_CS(cs::cartesian) typedef boost::tuple point; typedef boost::geometry::model::polygon polygon; namespace Rcpp { // `as` converter from R to Boost.Geometry's polygon type template <> polygon as(SEXP pointsMatrixSEXP) { // the coordinates are the rows of the (n x 2) matrix NumericMatrix pointsMatrix(pointsMatrixSEXP); polygon poly; for (int i = 0; i < pointsMatrix.nrow(); ++i) { double x = pointsMatrix(i,0); double y = pointsMatrix(i,1); point p(x,y); poly.outer().push_back(p); } return (poly); } // `wrap` converter from Boost.Geometry's polygon to an R(cpp) matrix // The Rcpp NumericMatrix can be converted to/from a SEXP template <> SEXP wrap(const polygon& poly) { const std::vector & points = poly.outer(); NumericMatrix rmat(points.size(), 2); for(int i = 0; i < points.size(); ++i) { const point& p = points[i]; rmat(i,0) = p.get<0>(); rmat(i,1) = p.get<1>(); } return Rcpp::wrap(rmat); } } // [[Rcpp::export]] NumericMatrix convexHullRcpp(SEXP pointsMatrixSEXP){ // Conversion of pointsMatrix here to boost::geometry polygon polygon poly = as (pointsMatrixSEXP); polygon hull; // Compute the convex hull boost::geometry::convex_hull(poly, hull); // Convert hull into a NumericMatrixsomething that Rcpp can hand back to R return wrap(hull); }

Now we use R to replicate the `convex_hull`

example in the Boost.Geometry documentation.

points <- c(2.0, 1.3, 2.4, 1.7, 2.8, 1.8, 3.4, 1.2, 3.7, 1.6, 3.4, 2.0, 4.1, 3.0, 5.3, 2.6, 5.4, 1.2, 4.9, 0.8, 2.9, 0.7, 2.0, 1.3) points.matrix <- matrix(points, ncol=2, byrow=TRUE) points.matrix [,1] [,2] [1,] 2.0 1.3 [2,] 2.4 1.7 [3,] 2.8 1.8 [4,] 3.4 1.2 [5,] 3.7 1.6 [6,] 3.4 2.0 [7,] 4.1 3.0 [8,] 5.3 2.6 [9,] 5.4 1.2 [10,] 4.9 0.8 [11,] 2.9 0.7 [12,] 2.0 1.3 convexHullRcpp(points.matrix) [,1] [,2] [1,] 2.0 1.3 [2,] 2.4 1.7 [3,] 4.1 3.0 [4,] 5.3 2.6 [5,] 5.4 1.2 [6,] 4.9 0.8 [7,] 2.9 0.7 [8,] 2.0 1.3

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