View source: R/bartletts_spectral_density.R
bartletts_spectral_density | R Documentation |
Periodogram estimator
bartletts_spectral_density(x, omega, ...)
x |
point pattern, list of $x and $bbox |
omega |
The frequencies |
... |
ignored |
We estimate the spectral density using a periodogram as suggested by Bartlett 1964,
\mathcal{F}(ω) = λ + λ^2\int_{R^d}[g(z)-1]e^{-iω^T z}dz
where we assume that the process is stationary with intensity lambda and pair correlation function $g$. Isotropy is not assumed.
This function deliberately does not scale or assume a form for the frequencies (such as 2kpi/n, k integer), as there is no consensus on the best form.
Additionally, no scaling or other transformation of the pattern is conducted.
The frequencies that the spectrum is estimated are given by omega:
1) If omega is a vector, we expand it to d-dimensional frequencies using expand.grid.
2) If omega is a column matrix of dimension m x d, each row is interpreted as a frequency.
No edge correction is applied as none is known. The
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