Package: spEDM 1.13
spEDM: Spatial Empirical Dynamic Modeling
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>, together with geographical pattern causality proposed in Zhang & Wang (2025) <doi:10.1080/13658816.2025.2581207>.
Authors:
spEDM_1.13.tar.gz
spEDM_1.13.zip(r-4.7)spEDM_1.13.zip(r-4.6)spEDM_1.13.zip(r-4.5)
spEDM_1.13.tgz(r-4.6-x86_64)spEDM_1.13.tgz(r-4.6-arm64)spEDM_1.13.tgz(r-4.5-x86_64)spEDM_1.13.tgz(r-4.5-arm64)
spEDM_1.13.tar.gz(r-4.7-arm64)spEDM_1.13.tar.gz(r-4.7-x86_64)spEDM_1.13.tar.gz(r-4.6-arm64)spEDM_1.13.tar.gz(r-4.6-x86_64)
spEDM_1.13.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
spEDM/json (API)
NEWS
| # Install 'spEDM' in R: |
| install.packages('spEDM', repos = c('https://stscl.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/stscl/spedm/issues
Pkgdown/docs site:https://stscl.github.io
causal-analysiscausal-discoverycausal-inferencecausal-influencecausal-interactionscausal-networkscppempirical-dynamic-modelinggeoinformaticsgeospatial-causalityspatial-analysisspatial-data-analysisspatial-data-sciencespatial-statisticsopenblascppopenmp
Last updated from:14dcfd662f. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 267 | ||
| linux-devel-x86_64 | OK | 318 | ||
| source / vignettes | OK | 484 | ||
| linux-release-arm64 | OK | 310 | ||
| linux-release-x86_64 | OK | 254 | ||
| macos-release-arm64 | OK | 146 | ||
| macos-release-x86_64 | OK | 387 | ||
| macos-oldrel-arm64 | OK | 176 | ||
| macos-oldrel-x86_64 | OK | 366 | ||
| windows-devel | OK | 341 | ||
| windows-release | OK | 324 | ||
| windows-oldrel | OK | 298 | ||
| wasm-release | OK | 222 |
Exports:detectThreadsembeddedfnngccmgcmcgpcicmultiviewpcsc.testscpcmsimplexslmsmap
Dependencies:bootclassclassIntclicpp11DBIdeldirdigestdplyre1071farvergenericsgeosphereggplot2gluegtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSpanderpillarpkgconfigproxypurrrR6RColorBrewerRcppRcppArmadilloRcppThreadrlangs2S7scalessdsfunsfspspDataspdepterratibbletidyselectunitsutf8vctrsviridisLitewithrwk
Introduction to the spEDM package
Rendered frommain1_pkgintro.Rmdusingknitr::rmarkdownon Jun 08 2026.Last update: 2026-04-05
Started: 2025-12-01
State Space Reconstruction
Rendered frommain2_ssr.Rmdusingknitr::rmarkdownon Jun 08 2026.Last update: 2026-04-05
Started: 2025-12-01
Geographical Convergent Cross Mapping
Rendered frommain3_gccm.Rmdusingknitr::rmarkdownon Jun 08 2026.Last update: 2026-04-04
Started: 2025-12-01
Geographical Pattern Causality
Rendered frommain4_gpc.Rmdusingknitr::rmarkdownon Jun 08 2026.Last update: 2026-04-04
Started: 2025-12-01
Geographical Cross Mapping Cardinality
Rendered frommain5_gcmc.Rmdusingknitr::rmarkdownon Jun 08 2026.Last update: 2026-04-05
Started: 2025-12-01
Spatially Convergent Partial Cross Mapping
Rendered frommain6_scpcm.Rmdusingknitr::rmarkdownon Jun 08 2026.Last update: 2026-04-04
Started: 2026-01-23
Spatial Logistic Map
Rendered fromsi1_slm.Rmdusingknitr::rmarkdownon Jun 08 2026.Last update: 2026-04-05
Started: 2025-12-01
Spatial Causality Test
Rendered fromsi2_sct.Rmdusingknitr::rmarkdownon Jun 08 2026.Last update: 2026-04-05
Started: 2025-12-01
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| detect the number of available threads | detectThreads |
| embedding spatial cross sectional data | embedded embedded,sf-method embedded,SpatRaster-method |
| false nearest neighbours | fnn fnn,sf-method fnn,SpatRaster-method |
| geographical convergent cross mapping | gccm gccm,sf-method gccm,SpatRaster-method |
| geographical cross mapping cardinality | gcmc gcmc,sf-method gcmc,SpatRaster-method |
| geographical pattern causality | gpc gpc,sf-method gpc,SpatRaster-method |
| optimal parameter search for intersectional cardinality | ic ic,sf-method ic,SpatRaster-method |
| multiview embedding forecast | multiview multiview,sf-method multiview,SpatRaster-method |
| optimal parameter search for pattern causality | pc pc,sf-method pc,SpatRaster-method |
| spatial causality test | sc.test sc.test,sf-method sc.test,SpatRaster-method |
| spatially convergent partial cross mapping | scpcm scpcm,sf-method scpcm,SpatRaster-method |
| optimal parameter search for simplex projection | simplex simplex,sf-method simplex,SpatRaster-method |
| spatial logistic map | slm slm,sf-method slm,SpatRaster-method |
| optimal parameter search for s-mapping | smap smap,sf-method smap,SpatRaster-method |
