PredictiveSoilMapping
Applying statistical and/or machine learning techniques to fit models for the purpose of producing spatial and/or spatiotemporal predictions of soil variables, i.e. maps of soil properties and classes at different resolutions.
https://github.com/Envirometrix/PredictiveSoilMapping
Keywords
gis machine-learning-algorithms pedometrics r soil-mapping soil-survey
Last synced: over 1 year ago
JSON representation
Acceptance Criteria
- Revelant topics? true
- External users? true
- Open source license? true
- Active? true
- Fork? false
Repository metadata
Predictive Soil Mapping with R (book)
- Host: GitHub
- URL: https://github.com/Envirometrix/PredictiveSoilMapping
- Owner: Envirometrix
- License: other
- Created: 2018-06-06T15:56:28.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2023-09-02T22:05:56.000Z (over 1 year ago)
- Last Synced: 2024-01-21T02:08:49.982Z (over 1 year ago)
- Topics: gis, machine-learning-algorithms, pedometrics, r, soil-mapping, soil-survey
- Language: TeX
- Homepage: http://soilmapper.org/
- Size: 960 MB
- Stars: 83
- Watchers: 16
- Forks: 38
- Open Issues: 3
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
Predictive Soil Mapping with R by T. (Tom) Hengl and R.A. (Bob) MacMillan
The text and code for the forthcoming Open Access book: Predictive Soil Mapping with R. Pull requests and general comments are welcome.
This book is continuously updated and contributions are welcome (pull requests and general comments are welcome) provided that some minimum requirements are met. For news and updates please refer to the github issues. Older versions of the book can be found at: https://doi.org/10.5281/zenodo.2561034
Cite this as:
- Hengl, T., MacMillan, R.A., (2019). Predictive Soil Mapping with R. OpenGeoHub foundation, Wageningen, the Netherlands, 370 pages, www.soilmapper.org, ISBN: 978-0-359-30635-0.
Hard copies of this book can be ordered from www.lulu.com. By purchasing a hard copy of this book from Lulu you donate $12 to the OpenGeoHub foundation.
Copyright: © 2019 Authors.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Owner metadata
- Name: Envirometrix
- Login: Envirometrix
- Email: [email protected]
- Kind: organization
- Description: Research, Innovation and Consultancy
- Website: http://envirometrix.net
- Location: Wageningen, the Netherlands
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/32822370?v=4
- Repositories: 5
- Last ynced at: 2023-03-06T20:11:30.397Z
- Profile URL: https://github.com/Envirometrix
GitHub Events
Total
- Create event: 5
- Release event: 1
- Issues event: 12
- Watch event: 85
- Issue comment event: 7
- Member event: 2
- Push event: 210
- Pull request event: 7
- Fork event: 40
Last Year
- Fork event: 2
- Pull request event: 1
- Watch event: 8
Committers metadata
Last synced: over 1 year ago
Total Commits: 263
Total Committers: 4
Avg Commits per committer: 65.75
Development Distribution Score (DDS): 0.441
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
Name | Commits | |
---|---|---|
jn | t****i@g****m | 147 |
Bob-MacMillan | 4****n | 47 |
thengl | t****l@g****m | 44 |
Tomislav Hengl | t****l@i****g | 25 |
Committer domains:
- isric.org: 1
Issue and Pull Request metadata
Last synced: over 1 year ago
Total issues: 7
Total pull requests: 6
Average time to close issues: 4 months
Average time to close pull requests: 22 days
Total issue authors: 3
Total pull request authors: 2
Average comments per issue: 0.86
Average comments per pull request: 0.0
Merged pull request: 4
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 1
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 1
Past year average comments per issue: 0
Past year average comments per pull request: 0.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- thengl (5)
- azam65 (1)
- morge78 (1)
Top Pull Request Authors
- Nowosad (5)
- BennardAyivor (1)
Top Issue Labels
- enhancement (4)
- help wanted (1)
- bug (1)
Top Pull Request Labels
Score: 5.840641657373398