fnn {spEDM} | R Documentation |
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")
[Package spEDM version 1.7 Index]