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spEDM

Spatial Empirical Dynamic Modeling

https://github.com/stscl/spedm

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (16.2%) to scientific vocabulary

Keywords

causal-analysis causal-discovery causal-inference cpp empirical-dynamic-modeling geoinformatics geospatial-causality r spatial-statistics
Last synced: 6 months ago · JSON representation

Repository

Spatial Empirical Dynamic Modeling

Basic Info
Statistics
  • Stars: 20
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 9
Topics
causal-analysis causal-discovery causal-inference cpp empirical-dynamic-modeling geoinformatics geospatial-causality r spatial-statistics
Created over 1 year ago · Last pushed 6 months ago
Metadata Files
Readme Changelog

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "##",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# spEDM



[![CRAN](https://www.r-pkg.org/badges/version/spEDM)](https://CRAN.R-project.org/package=spEDM)
[![CRAN Release](https://www.r-pkg.org/badges/last-release/spEDM)](https://CRAN.R-project.org/package=spEDM)
[![CRAN Checks](https://badges.cranchecks.info/worst/spEDM.svg)](https://cran.r-project.org/web/checks/check_results_spEDM.html)
[![Downloads_all](https://badgen.net/cran/dt/spEDM?color=orange)](https://CRAN.R-project.org/package=spEDM)
[![Downloads_month](https://cranlogs.r-pkg.org/badges/spEDM)](https://CRAN.R-project.org/package=spEDM)
[![License](https://img.shields.io/badge/license-GPL--3-brightgreen.svg?style=flat)](http://www.gnu.org/licenses/gpl-3.0.html)
[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-20b2aa.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)
[![R-CMD-check](https://github.com/stscl/spEDM/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/stscl/spEDM/actions/workflows/R-CMD-check.yaml)
[![R-universe](https://stscl.r-universe.dev/badges/spEDM?color=cyan)](https://stscl.r-universe.dev/spEDM)



spEDM website: https://stscl.github.io/spEDM/

***Sp**atial **E**mpirical **D**ynamic **M**odeling*

`spEDM` is an R package for spatial causal discovery. It extends Empirical Dynamic Modeling (EDM) from time series to spatial cross-sectional data, supports both vector and raster spatial formats via integration with `sf` and `terra`, and enables data-driven causal inference from spatial snapshots.

> *Refer to the package documentation  for more detailed information.*

## Installation

- Install from [CRAN](https://CRAN.R-project.org/package=spEDM) with:

``` r
install.packages("spEDM", dep = TRUE)
```

- Install binary version from [R-universe](https://stscl.r-universe.dev/spEDM) with:

``` r
install.packages("spEDM",
                 repos = c("https://stscl.r-universe.dev",
                           "https://cloud.r-project.org"),
                 dep = TRUE)
```

- Install from source code on [GitHub](https://github.com/stscl/spEDM) with:

```r
if (!requireNamespace("devtools")) {
    install.packages("devtools")
}
devtools::install_github("stscl/spEDM",
                         build_vignettes = TRUE,
                         dep = TRUE)
```

Owner

  • Name: Spatiotemporal statistical computing liberalization community
  • Login: stscl
  • Kind: organization
  • Email: lyu.geosocial@gmail.com
  • Location: China

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 16
  • Total pull requests: 1,334
  • Average time to close issues: about 2 hours
  • Average time to close pull requests: 12 minutes
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.44
  • Average comments per pull request: 0.0
  • Merged pull requests: 1,247
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 16
  • Pull requests: 1,334
  • Average time to close issues: about 2 hours
  • Average time to close pull requests: 12 minutes
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.44
  • Average comments per pull request: 0.0
  • Merged pull requests: 1,247
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • SpatLyu (16)
Pull Request Authors
  • SpatLyu (1,334)
Top Labels
Issue Labels
bug (2) documentation (1) enhancement (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 180 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 9
  • Total maintainers: 1
cran.r-project.org: spEDM

Spatial Empirical Dynamic Modeling

  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 180 Last month
Rankings
Stargazers count: 19.1%
Dependent packages count: 27.5%
Forks count: 28.9%
Dependent repos count: 34.0%
Average: 39.3%
Downloads: 87.0%
Maintainers (1)
lyu.geosocial@gmail.com
Last synced: 6 months ago

Dependencies

.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action v4.5.0 composite
  • actions/checkout v4 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
DESCRIPTION cran
  • R >= 4.1.0 depends
  • sdsfun * imports
  • sf * imports
  • terra * imports
  • Rcpp * suggests
  • RcppThread * suggests
  • knitr * suggests
  • rmarkdown * suggests