Given a spatial point pattern, we compute the edges of a graph (network) for a specified type of edge relationship.

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`x` |
Input point pattern object |

`type` |
Type of the graph |

`par` |
Parameter(s) for the graph |

`verbose` |
Print details |

`maxR` |
Maximum range for edges, helps in large patterns. |

`doDists` |
Precompute distances? Speeds up some graphs, takes up memory. |

`preGraph` |
Precomputed graph, taken as a super-graph |

Several edge definitions are supported:

- geometric
par=numeric>0. Geometric graph, par = connection radius.

- knn
par=integer>0. k-nearest neighbours graph, par = k.

- mass_geometric
Connect two points if ||x-y||<m(x). par=vector giving the m(x_i)'s

- markcross
Connect two points if ||x-y||<m(x)+m(y). par = vector giving the m(x_i)'s

- gabriel
Gabriel graph. Additional parameter for allowing

`par=k`

instead of 0 points in the circle.- MST
Minimal spanning tree.

- SIG
Spheres of Influence.

- RST
Radial spanning tree, par=origin of radiation, coordinate vector

- RNG
Relative neighbourhood graph

- CCC
Class-Cover-Catch, par=factor vector of point types. The factor vector is converted to integers according to R's internal representation of factors, and the points with type 1 will be the target. Use relevel to change the target.

The parameter 'maxR' can be given to bring n^3 graphs closer to n^2. k-nearest neighbours will warn if maxR is too small (<k neighbours for some points), others, like RNG, don't so be careful.

Voronoi diagram aka Delaunay triangulation is not supported as other R-packages can do it, see. e.g. package 'deldir'.

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