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,
  E = 1:10,
  tau = 1,
  style = 1,
  stack = FALSE,
  lib = NULL,
  pred = NULL,
  dist.metric = "L1",
  rt = 10,
  eps = 2,
  threads = detectThreads(),
  detrend = TRUE,
  nb = NULL
)

## S4 method for signature 'SpatRaster'
fnn(
  data,
  target,
  E = 1:10,
  tau = 1,
  style = 1,
  stack = FALSE,
  lib = NULL,
  pred = NULL,
  dist.metric = "L1",
  rt = 10,
  eps = 2,
  threads = detectThreads(),
  detrend = TRUE,
  grid.coord = TRUE,
  embed.direction = 0
)

Arguments

data	observation data.
target	name of target variable.
E	(optional) embedding dimensions.
tau	(optional) step of spatial lags.
style	(optional) embedding style (0 includes current state, 1 excludes it).
stack	(optional) whether to stack embeddings.
lib	(optional) libraries indices (input needed: vector - spatial vector, matrix - spatial raster).
pred	(optional) predictions indices (input requirement same as lib).
dist.metric	(optional) distance metric (L1: Manhattan, L2: Euclidean).
rt	(optional) escape factor.
eps	(optional) neighborhood diameter.
threads	(optional) number of threads to use.
detrend	(optional) whether to remove the linear trend.
nb	(optional) neighbours list.
grid.coord	(optional) whether to detrend using cell center coordinates (TRUE) or row/column numbers (FALSE).
embed.direction	(optional) direction selector for embeddings (0 returns all directions, 1-8 correspond to NW, N, NE, W, E, SW, S, SE).

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 Nov. 30, 2025, 5:07 p.m.