| Name : R-IIProductionUnknown
| |
| Version : 0.0.3
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.1.7
| Date : 2024-06-14 11:14:08
|
| Group : Development/Libraries/Other
| Source RPM : R-IIProductionUnknown-0.0.3-lp153.1.7.src.rpm
|
| Size : 0.08 MB
| |
| Packager : (none)
| |
| Summary : Analyzing Data Through of Percentage of Importance Indice (Production Unknown) and Its Derivations
|
Description :
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>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
