Spatial-Data-Science-and-GEO-AI-Lab / GreenExp_R

This is a R toolkit and developer version package to estimate multidimensional aspects of greenness and nature exposure, such as availability, accessibility and visibility using various geospatial data and models

Spatial-Data-Science-and-GEO-AI-Lab
Spatial-Data-Science-and-GEO-AI-Lab
Date Created 2023-05-01 (about a year ago)
Commits 246 (last one about a year ago)
Stargazers 40 (0 this week)
Watchers 1 (0 this week)
Forks 6
License mit
Ranking

RepositoryStats indexes 585,332 repositories, of these Spatial-Data-Science-and-GEO-AI-Lab/GreenExp_R is ranked #513,386 (12th percentile) for total stargazers, and #536,654 for total watchers. Github reports the primary language for this repository as R, for repositories using this language it is ranked #3,080/3,350.

Other Information

Spatial-Data-Science-and-GEO-AI-Lab/GreenExp_R has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 5 open issues and 7 closed issues.

There have been 1 release, the latest one was published on 2023-08-25 (about a year ago) with the name Initial Release.

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Recent Commit History

246 commits on the default branch (main) since jan '22

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updated: 2024-11-05 @ 10:15am, id: 634929610 / R_kgDOJdhByg