geos::algorithm::distance::DiscreteFrechetDistance Class Reference

An algorithm for computing a distance metric which is an approximation to the Frechet Distance based on a discretization of the input geom::Geometry. More...

#include <DiscreteFrechetDistance.h>

Public Member Functions
	DiscreteFrechetDistance (const geom::Geometry &p_g0, const geom::Geometry &p_g1)
void	setDensifyFraction (double dFrac)
double	distance ()
const std::array< geom::CoordinateXY, 2 >	getCoordinates () const

Static Public Member Functions
static double	distance (const geom::Geometry &g0, const geom::Geometry &g1)
static double	distance (const geom::Geometry &g0, const geom::Geometry &g1, double densifyFrac)

Detailed Description

An algorithm for computing a distance metric which is an approximation to the Frechet Distance based on a discretization of the input geom::Geometry.

The algorithm computes the Frechet distance restricted to discrete points for one of the geometries. The points can be either the vertices of the geometries (the default), or the geometries with line segments densified by a given fraction. Also determines two points of the Geometries which are separated by the computed distance.

This algorithm is an approximation to the standard Frechet distance. Specifically,

   for all geometries a, b:    DFD(a, b) >= FD(a, b)

The approximation can be made as close as needed by densifying the input geometries. In the limit, this value will approach the true Frechet distance:

   DFD(A, B, densifyFactor) -> FD(A, B) as densifyFactor -> 0.0

The default approximation is exact or close enough for a large subset of useful cases.

The difference between DFD and FD is bounded by the length of the longest edge of the polygonal curves.

Fréchet distance sweep continuously along their respective curves and the direction of curves is significant. This makes a better measure of similarity than Hausdorff distance.

An example showing how different DHD and DFD are:

  A  = LINESTRING (0 0, 50 200, 100 0, 150 200, 200 0)
  B  = LINESTRING (0 200, 200 150, 0 100, 200 50, 0 0)
  B' = LINESTRING (0 0, 200 50, 0 100, 200 150, 0 200)

  DHD(A, B)  = DHD(A, B') = 48.5071250072666
  DFD(A, B)  = 200
  DFD(A, B') = 282.842712474619

Member Function Documentation

setDensifyFraction()

void geos::algorithm::distance::DiscreteFrechetDistance::setDensifyFraction

(

double

dFrac

)

Sets the fraction by which to densify each segment. Each segment will be (virtually) split into a number of equal-length subsegments, whose fraction of the total length is closest to the given fraction.

Parameters

dFrac

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The documentation for this class was generated from the following file:

• DiscreteFrechetDistance.h