fnn: false nearest neighbours

In spEDM: Spatial Empirical Dynamic Modeling

false nearest neighbours

Description

false nearest neighbours

Usage

## S4 method for signature 'sf'
fnn(
  data,
  target,
  lib = NULL,
  pred = NULL,
  E = 1:10,
  tau = 1,
  nb = NULL,
  rt = 10,
  eps = 2,
  threads = detectThreads(),
  detrend = TRUE
)

## S4 method for signature 'SpatRaster'
fnn(
  data,
  target,
  lib = NULL,
  pred = NULL,
  E = 1:10,
  tau = 1,
  rt = 10,
  eps = 2,
  threads = detectThreads(),
  detrend = TRUE
)

Arguments

data	observation data.
target	name of target variable.
lib	(optional) libraries indices.
pred	(optional) predictions indices.
E	(optional) embedding dimensions.
tau	(optional) step of spatial lags.
nb	(optional) neighbours list.
rt	(optional) escape factor.
eps	(optional) neighborhood diameter.
threads	(optional) number of threads to use.
detrend	(optional) whether to remove the linear trend.

Value

A vector

References

Kennel M. B., Brown R. and Abarbanel H. D. I., Determining embedding dimension for phase-space reconstruction using a geometrical construction, Phys. Rev. A, Volume 45, 3403 (1992).

Examples

columbus = sf::read_sf(system.file("case/columbus.gpkg", package="spEDM"))

fnn(columbus,"crime")

spEDM documentation built on June 25, 2025, 9:07 a.m.