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,
  style = 1,
  dist.metric = "L1",
  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,
  style = 1,
  dist.metric = "L1",
  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.
style	(optional) embedding style (0 includes current state, 1 excludes it).
dist.metric	(optional) distance metric (L1: Manhattan, L2: Euclidean).
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 Aug. 31, 2025, 5:08 p.m.