Gfox

0th

Percentile

Foxall's Distance Functions

Given a point pattern X and a spatial object Y, compute estimates of Foxall's $G$ and $J$ functions.

Keywords
spatial, nonparametric
Usage
Gfox(X, Y, r = NULL, breaks = NULL, correction = c("km", "rs", "han"), ...)
Jfox(X, Y, r = NULL, breaks = NULL, correction = c("km", "rs", "han"), ...)
Arguments
X
A point pattern (object of class "ppp") from which distances will be measured.
Y
An object of class "ppp", "psp" or "owin" to which distances will be measured.
r
Optional. Numeric vector. The values of the argument $r$ at which $Gfox(r)$ or $Jfox(r)$ should be evaluated. There is a sensible default. First-time users are strongly advised not to specify this argument. See below for important conditio
breaks
An alternative to the argument r. Not normally invoked by the user.
correction
Optional. The edge correction(s) to be used to estimate $Gfox(r)$ or $Jfox(r)$. A vector of character strings selected from "none", "rs", "km", "cs" and "best".
...
Extra arguments affecting the discretisation of distances. These arguments are ignored by Gfox, but Jfox passes them to Hest to determine the discretisation of the spatial
Details

Given a point pattern X and another spatial object Y, these functions compute two nonparametric measures of association between X and Y, introduced by Foxall (Foxall and Baddeley, 2002). Let the random variable $R$ be the distance from a typical point of X to the object Y. Foxall's $G$-function is the cumulative distribution function of $R$: $$G(r) = P(R \le r)$$ Let the random variable $S$ be the distance from a fixed point in space to the object Y. The cumulative distribution function of $S$ is the (unconditional) spherical contact distribution function $$H(r) = P(S \le r)$$ which is computed by Hest.

Foxall's $J$-function is the ratio $$J(r) = \frac{1-G(r)}{1-H(r)}$$ For further interpretation, see Foxall and Baddeley (2002).

Value

• A function value table (object of class "fv") which can be printed, plotted, or converted to a data frame of values.

References

Foxall, R. and Baddeley, A. (2002) Nonparametric measures of association between a spatial point process and a random set, with geological applications. Applied Statistics 51, 165--182.

Gest, Hest, Jest, Fest

• Gfox
• Jfox
Examples
data(copper)
X <- copper$SouthPoints Y <- copper$SouthLines
G <- Gfox(X,Y)
J <- Jfox(X,Y, correction="km")
Documentation reproduced from package spatstat, version 1.19-1, License: GPL (>= 2)

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