Package 'spEDM'

Title: Spatial Empirical Dynamic Modeling
Description: Integrates empirical dynamic modeling (EDM) with geospatial cross-sectional data to analyze causality via geographical convergent cross mapping (GCCM) described in Gao et al. (2023) <doi:10.1038/s41467-023-41619-6>.
Authors: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <[email protected]>
License: GPL-3
Version: 1.1
Built: 2024-12-17 16:28:31 UTC
Source: https://github.com/stscl/spEDM

Help Index

geographical convergent cross mapping

Description

geographical convergent cross mapping

Usage

gccm(
  cause,
  effect,
  data,
  libsizes,
  E = 3,
  nb = NULL,
  RowCol = NULL,
  trendRM = TRUE
)

Arguments

cause

Name of causal variable.
effect

Name of effect variable.
data

The observation data, must be sf or SpatRaster object.
libsizes

A vector of library sizes to use.
E

(optional) The dimensions of the embedding.
nb

(optional) The neighbours list.
RowCol

(optional) Matrix of selected row and cols numbers.
trendRM

(optional) Whether to remove the linear trend.

Value

A data.frame.

Examples

columbus = sf::read_sf(system.file("shapes/columbus.gpkg", package="spData")[1],
                       quiet=TRUE)

gccm("HOVAL", "CRIME", data = columbus, libsizes = seq(5,45,5))