pdi

Phenotypic index measures for oak decline severity

https://github.com/jasenfinch/pdi

Science Score: 33.0%

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    Found 2 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    1 of 1 committers (100.0%) from academic institutions
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    Low similarity (13.4%) to scientific vocabulary

Keywords

decline index oak phenotyping r
Last synced: 9 months ago · JSON representation

Repository

Phenotypic index measures for oak decline severity

Basic Info
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Topics
decline index oak phenotyping r
Created almost 7 years ago · Last pushed over 4 years ago
Metadata Files
Readme License

README.md

pdi

R build status Codecov test coverage CRAN status downloads DOI

Phenotypic index measures for oak decline severity

Oak declines are complex disease syndromes that consist of many visual indicators that include aspects of tree size, crown condition and trunk condition. This can cause difficulty in the manual classification of symptomatic and non-symptomatic trees from what is in reality a broad spectrum of oak tree health condition.

Two oak decline indexes have been developed to quantitatively describe and differentiate oak decline syndromes in Quercus robur. These include:

Phenotypic Decline Index (PDI) - a measure of overall decline severity, scoring trees between 0 and 1. More severely declining oak trees having a score closer to 1.

Decline Acuteness Index (DAI) - a measure to differentiate between Chronic Oak Decline (COD) and Acute Oak Decline with a score between -1 and 1. Acutely declining trees having a score closer to 1 and chronically declining trees having a score closer to -1.

This package provides the tools generate these decline indexes using machine learning algorithm random forest.

The methodology is outlined in the article:

Finch, J.P., Brown, N., Beckmann, M., Denman, S. and Draper, J., 2021. Index measures for oak decline severity using phenotypic descriptors. Forest Ecology and Management, 485, p.118948.

Installation

The package can be installed from CRAN using:

r install.packages('pdi')

Or this development version of the package can be installed from GitHub:

r devtools::install_github('jasenfinch/pdi',build_vignettes = TRUE)

Learn more

The package documentation can be browsed online at https://jasenfinch.github.io/pdi/.

If this is your first time using pdi see the Generating phenotypic decline indexes using the pdi package vignette for information on how to get started.

If you believe you've found a bug in pdi, please file a bug (and, if possible, a reproducible example) at https://github.com/jasenfinch/pdi/issues.

Owner

  • Name: Jasen Finch
  • Login: jasenfinch
  • Kind: user
  • Location: Aberystwyth
  • Company: Aberystwyth University

Postdoctoral Research Fellow in Acute Oak Decline. Applying metabolomics to tree health.

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Last synced: over 1 year ago

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  • Avg Commits per committer: 114.0
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jasenfinch j****9@a****k 114
Committer Domains (Top 20 + Academic)

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Last synced: about 1 year ago

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  • Average comments per issue: 0
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  • Merged pull requests: 8
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  • jasenfinch (8)
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 217 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
cran.r-project.org: pdi

Phenotypic Index Measures for Oak Decline Severity

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 217 Last month
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Average: 41.2%
Downloads: 77.0%
Maintainers (1)
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • dplyr * imports
  • magrittr * imports
  • purrr * imports
  • randomForest * imports
  • readxl * imports
  • stringr * imports
  • tibble * imports
  • tidyr * imports
  • tidyselect * imports
  • covr * suggests
  • ggplot2 * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests