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onpoint (version 1.1)

Oest: Oest

Description

O-ring function

Usage

Oest(x, ...)

Value

fv.object

Arguments

x

ppp

...

Arguments passed to spatstat.explore::pcf.ppp()

Details

Estimates the O-ring function proposed by Wiegand and Moloney (2004). The O-ring statistic is defined as:

$$O(r) = \lambda * g(r)$$

Generally speaking, O(r) scales the pair correlation g(r) function with help of the intensity \(\lambda\). One advantage of the O-ring statistic is that it can be interpreted as a neighborhood density because it is a probability density function (Wiegand & Moloney 2004, 2014).

Returns an 'Function value object' of the spatstat package.

References

Wiegand, T., Moloney, K.A., 2004. Rings, circles, and null models for point pattern analysis in ecology. Oikos 104, 209–229. <https://doi.org/10.1111/j.0030-1299.2004.12497.x>

Wiegand, T., Moloney, K.A., 2014. Handbook of spatial point-pattern analysis in ecology. Chapman and Hall/CRC Press, Boca Raton, USA. <isbn:978-1-4200-8254-8>

See Also

density.ppp
pcf

Examples

Run this code
input_pattern <- spatstat.random::runifpoint(n = 100)
Oest(input_pattern)

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