embedded: embedding spatial cross sectional data

In spEDM: Spatial Empirical Dynamic Modeling

embedding spatial cross sectional data

Description

embedding spatial cross sectional data

Usage

## S4 method for signature 'sf'
embedded(
  data,
  target,
  E = 3,
  tau = 1,
  style = 1,
  stack = FALSE,
  detrend = FALSE,
  nb = NULL
)

## S4 method for signature 'SpatRaster'
embedded(
  data,
  target,
  E = 3,
  tau = 1,
  style = 1,
  stack = FALSE,
  detrend = FALSE,
  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.
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 matrix (when stack is FALSE) or list.

Examples

columbus = sf::read_sf(system.file("case/columbus.gpkg",package="spEDM"))
v = embedded(columbus,"crime")
v[1:5,]

npp = terra::rast(system.file("case/npp.tif",package="spEDM"))
r = embedded(npp,"npp")
r[which(!is.na(r),arr.ind = TRUE)[1:5],]

spEDM documentation built on Nov. 30, 2025, 5:07 p.m.