# dirichlet.weights

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##### Compute Quadrature Weights Based on Dirichlet Tessellation

Computes quadrature weights for a given set of points, using the areas of tiles in the Dirichlet tessellation.

Keywords
utilities, spatial
##### Usage
dirichlet.weights(X, window=NULL, exact=TRUE, ...)
##### Arguments
X
Data defining a point pattern.
window
Default window for the point pattern
exact
Logical value. If TRUE, compute exact areas using the package deldir. If FALSE, compute approximate areas using a pixel raster.
...
Ignored.
##### Details

This function computes a set of quadrature weights for a given pattern of points (typically comprising both data'' and dummy'' points). See quad.object for an explanation of quadrature weights and quadrature schemes.

The weights are computed using the Dirichlet tessellation. First X and (optionally) window are converted into a point pattern object. Then the Dirichlet tessellation of the points of X is computed. The weight attached to a point of X is the area of its Dirichlet tile (inside the window X\$window).

If exact=TRUE the Dirichlet tessellation is computed exactly by the Lee-Schachter algorithm using the package deldir. Otherwise a pixel raster approximation is constructed and the areas are approximations to the true weights. In all cases the sum of the weights is equal to the area of the window.

##### Value

• Vector of nonnegative weights for each point in X.

quad.object, gridweights

##### Aliases
• dirichlet.weights
##### Examples
Q <- quadscheme(runifpoispp(10))
X <- as.ppp(Q) # data and dummy points together
w <- dirichlet.weights(X, exact=FALSE)`
Documentation reproduced from package spatstat, version 1.14-7, License: GPL (>= 2)

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