DataDefoliation

An example with data from data defoliation.

datasets

The Importance Index (I.I.) can determine the loss and solution sources for a system in certain knowledge areas (e.g., agronomy), when production (e.g., fruits) is known (Demolin-Leite, 2021). Events (e.g., agricultural pest) can have different magnitudes (numerical measurements), frequencies, and distributions (aggregate, random, or regular) of event occurrence, and I.I. bases in this triplet (Demolin-Leite, 2021) <https://cjascience.com/index.php/CJAS/article/view/1009/1319>. Usually, the higher the magnitude and frequency of aggregated distribution, the greater the problem or the solution (e.g., natural enemies versus pests) for the system (Demolin-Leite, 2021). However, the final production of the system is not always known or is difficult to determine (e.g., degraded area recovery). A derivation of the I.I. is the percentage of Importance Index-Production Unknown (% I.I.-PU) that can detect the loss or solution sources, when production is unknown for the system (Demolin-Leite, 2024) <DOI:10.1590/1519-6984.253218>.

Alcinei Mistico Azevedo

IIProductionUnknown

Analyzing Data Through of Percentage of Importance Indice
(Production Unknown) and Its Derivations

Germano Leao Demolin-Leite

DataDefoliation function

A data frame with data defoliation.

Format

Germano Leao Demolin Leite : <a href="/link/germano.demolin%40gmail.com?package=IIProductionUnknown&version=0.0.3" data-mini-rdoc="IIProductionUnknown::germano.demolin@gmail.com">germano.demolin@gmail.com</a>
Alcinei Mistico Azevedo : <a href="/link/alcineimistico%40hotmail.com?package=IIProductionUnknown&version=0.0.3" data-mini-rdoc="IIProductionUnknown::alcineimistico@hotmail.com">alcineimistico@hotmail.com</a>

Author

Data defoliation — DataDefoliation

Germano Leao Demolin Leite : <a href='mailto:germano.demolin@gmail.com'>germano.demolin@gmail.com</a>
Alcinei Mistico Azevedo : <a href='mailto:alcineimistico@hotmail.com'>alcineimistico@hotmail.com</a>

DataDefoliation: Data defoliation

Description

Usage

Arguments

Format

Author

References