A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

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
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Predictive Soil Mapping with R (book)

README.md

Predictive Soil Mapping with R by T. (Tom) Hengl and R.A. (Bob) MacMillan

Build Status
DOI

alt text

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.


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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 Email 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

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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

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/Envirometrix/PredictiveSoilMapping

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