simplex: simplex forecast

In spEDM: Spatial Empirical Dynamic Modeling

simplex forecast

Description

simplex forecast

Usage

## S4 method for signature 'sf'
simplex(
  data,
  target,
  lib = NULL,
  pred = NULL,
  E = 1:10,
  tau = 1,
  k = E + 2,
  nb = NULL,
  threads = detectThreads(),
  trend.rm = TRUE
)

## S4 method for signature 'SpatRaster'
simplex(
  data,
  target,
  lib = NULL,
  pred = NULL,
  E = 1:10,
  tau = 1,
  k = E + 2,
  threads = detectThreads(),
  trend.rm = TRUE
)

Arguments

data	The observation data.
target	Name of target variable.
lib	(optional) Libraries indices.
pred	(optional) Predictions indices.
E	(optional) Dimensions of the embedding.
tau	(optional) Step of spatial lags.
k	(optional) Number of nearest neighbors used for prediction.
nb	(optional) The neighbours list.
threads	(optional) Number of threads.
trend.rm	(optional) Whether to remove the linear trend.

Value

A list

xmap

self mapping prediction results

varname

name of target variable

Examples

columbus = sf::read_sf(system.file("shapes/columbus.gpkg", package="spData"))

simplex(columbus,target = "CRIME")

spEDM documentation built on April 4, 2025, 2:41 a.m.