doi:10.1038/s41467-023-41619-6>, as well as the spatial causality test following the approach of Herrera et al. (2016) <doi:10.1111/pirs.12144>.">

spEDM: Spatial Empirical Dynamic Modeling (original) (raw)

Inferring causation from spatial cross-sectional data through empirical dynamic modeling (EDM), with methodological extensions including geographical convergent cross mapping from Gao et al. (2023) <doi:10.1038/s41467-023-41619-6>, as well as the spatial causality test following the approach of Herrera et al. (2016) <doi:10.1111/pirs.12144>.

Version: 1.8
Depends: R (≥ 4.1.0)
Imports: dplyr, ggplot2, methods, sdsfun (≥ 0.7.0), sf, terra
LinkingTo: Rcpp, RcppThread, RcppArmadillo
Suggests: knitr, Rcpp, RcppThread, RcppArmadillo, rmarkdown, readr, plot3D
Published: 2025-08-31
DOI: 10.32614/CRAN.package.spEDM
Author: Wenbo Lv ORCID iD [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial at gmail.com>
BugReports: https://github.com/stscl/spEDM/issues
License: GPL-3
URL: https://stscl.github.io/spEDM/, https://github.com/stscl/spEDM
NeedsCompilation: yes
Citation: spEDM citation info
Materials: README, NEWS
CRAN checks: spEDM results

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