DESCRIPTION

Package: pdi
Type: Package
Title: Phenotypic Index Measures for Oak Decline Severity
Version: 0.4.2
Authors@R: person("Jasen", "Finch", email = "jsf9@aber.ac.uk", role = c("aut", "cre"),  comment = c(ORCID = "0000-0002-6070-7476"))
Description: Oak declines are complex disease syndromes and 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 phenotypic oak decline indexes have been developed to quantitatively describe and differentiate oak decline syndromes in Quercus robur. This package provides a toolkit to generate these decline indexes from phenotypic descriptors using the machine learning algorithm random forest. The methodology for generating these indexes is outlined in Finch et al. (2121) <doi:10.1016/j.foreco.2021.118948>.
URL: https://jasenfinch.github.io/pdi
BugReports: https://github.com/jasenfinch/pdi/issues
License: GPL-3
Encoding: UTF-8
Imports: dplyr,
        magrittr,
        purrr,
        randomForest,
        readxl,
        stringr,
        tibble,
        tidyr,
        tidyselect
LazyData: true
RoxygenNote: 7.1.1
Suggests: 
    testthat,
    covr,
    knitr,
    rmarkdown,
    ggplot2
VignetteBuilder: knitr