This package is a cleaning protocol for distributional data and an automated tool to provide the necessary data mining process before any diversity analysis. The protocol takes into account the most common mistakes found in distributional records and attempts to minimize its possibility, increasing users confidence in their data. All functions use as input a basic table with at least three columns species / decimalLatitude/ decimalLongitude, and save the results in the same format after a specific task is performed. Additionally, all functions return a descriptive report about the process made, that can be also saved as data frame object. Although, the functions could be used in the suggested pipelines, each function is suited to perform an specific task or a set of them, given the package a high level of customizability. See R-Alarcon and Miranda-Esquivel (submitted).
|Author||c(person("Viviana", "R-Alarcon", role = c("aut", "cre"), email = "[email protected]"), person("Daniel R", "Miranda-Esquivel", role = "aut", email = "[email protected]"))|
|Maintainer||Daniel R Miranda-Esquivel <[email protected]>|
|Package repository||View on GitHub|
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