دورية أكاديمية
Non-Gaussian Analysis of Herbarium Specimen Damage to Optimize Specimen Collection Management
| العنوان: | Non-Gaussian Analysis of Herbarium Specimen Damage to Optimize Specimen Collection Management |
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| المؤلفون: | Aris Yaman, Yulia Aris Kartika, Ariani Indrawati, Zaenal Akbar, Lindung Parningotan Malik, Wita Wardani, Tutie Djarwaningsih, Taufik Mahendra, Dadan Ridwan Saleh |
| المصدر: | Knowledge Engineering and Data Science, Vol 5, Iss 1, Pp 1-16 (2022) |
| بيانات النشر: | Universitas Negeri Malang, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Information resources (General) LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | Information resources (General), ZA3040-5185, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | Damage to specimen collections occurs in practically every herbarium across the world. Hence, some precautions must be taken, such as investigating the factors that cause specimen damage in their collections and evaluating their herbarium collection handling and usage policy. However, manual investigation of the causes of herbarium collection damage requires a lot of effort and time. Only a few studies have attempted to investigate the causes of herbarium collection damage. So far, the non-gaussian approach to detecting the causes of damage to herbarium specimens has not been studied before. This study attempted to explore the effect of species type, time, location, storage, and remounting status on the level of damage to herbarium specimens, especially those in the genus Excoecaria. Gaussian modeling is not good enough to model the counted data phenomenon (the amount of damage to herbarium specimens). Negative binomial regression (NBR) provides a better model when compared to generalized Poisson regression and ordinary Gaussian regression approaches. NBR detects non-uniformity in the storage process, causing damage to herbarium specimens. Natural damage to herbarium specimens is caused by differences in species and the origin of specimens. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2597-4602 2597-4637 |
| Relation: | https://journal2.um.ac.id/index.php/keds/article/view/24968; https://doaj.org/toc/2597-4602; https://doaj.org/toc/2597-4637 |
| DOI: | 10.17977/um018v5i12022p1-16 |
| URL الوصول: | https://doaj.org/article/9b00eb377d5c4fd7b905a06b7713b842 |
| رقم الأكسشن: | edsdoj.9b00eb377d5c4fd7b905a06b7713b842 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 25974602 25974637 |
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| DOI: | 10.17977/um018v5i12022p1-16 |