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Main functions

Functions to extract the frequnecy-domain features from your point pattern data

periodogram_smooth()
Kernel spectral estimator of a multivatiate (multitype) point pattern
periodogram()
Periodogram of a point pattern
select_band()
Bandwidth selection procedure for kernel spectral density estimator
coherence()
Maximal coherence and partial coherence

Plot functions

Functions to visualize the results.

plot_coher()
Plot coherence and partial coherence
plot_pairs()
Plot all possible spectral density estimates
plot_period()
Plot individual spectral density estimate

Ancillary functions

Building blocks of the main functions, only for expert use.

bartlett_uni()
Scaled Battlett kernel
CohByFreq()
(Partial) coherence for a given frequency
fixpd_fun()
Fix the positive definite issue for a matrix
generate_cate()
Generate all pairwise combinations of mark
generate_freq()
Frequency grid generator
H.h.lambda.1()
Compute \(\hat{H}^{(n)}_{h\hat{\lambda}^{(i)},1}\) in the centered DFT
Hmatrix()
\(H\) components used in coherence.R
IRspec()
Spectrum of the intensity reweighted process
scale2unitarea()
Recale the rectangular image to unit square
smoother()
Smooth an element by averaging its neighbors
taper()
Univariate data taper