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pdi

Phenotypic Index Measures for Oak Decline Severity

v0.4.2 · Feb 9, 2021 · GPL-3

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>.

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OK 12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 25, 2026
NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
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Dependency Network

Dependencies Reverse dependencies dplyr magrittr purrr randomForest readxl stringr tibble tidyr tidyselect pdi

Version History

3 tracked
new 0.4.2 Mar 10, 2026
updated 0.4.2 ← 0.4.1 diff Feb 8, 2021
new 0.4.1 Aug 18, 2020