Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Моделирование ареалов видов (MaxEnt)× | Оценка устойчивости жизненного цикла× | |
|---|---|---|
| Область | Устойчивое развитие | Устойчивое развитие |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2004 | 2008 |
| Автор метода≠ | Steven Phillips, Robert Anderson, Robert Schapire | Matthias Finkbeiner |
| Тип≠ | Statistical learning algorithm | Integrated assessment pipeline |
| Основополагающий источник≠ | Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modelling of species geographic distributions. Ecological Modelling, 190(3-4), 231-259. DOI ↗ | Finkbeiner, M., Schau, E. M., Lehmann, A., & Traverso, M. (2010). Towards Life Cycle Sustainability Assessment. Sustainability, 2(10), 3309-3322. DOI ↗ |
| Другие названия≠ | MaxEnt, SDM, Maximum Entropy Model | LCSA |
| Связанные | 3 | 3 |
| Сводка≠ | Species Distribution Models (SDMs) using Maximum Entropy (MaxEnt) are statistical methods developed by Phillips, Anderson, and Schapire (2004) to predict where species are likely to occur based on known occurrence points and environmental variables. MaxEnt has become one of the most widely used algorithms in conservation biology and biogeography for mapping suitable habitat and assessing climate change impacts. | Life Cycle Sustainability Assessment (LCSA) is a comprehensive framework developed by Matthias Finkbeiner and colleagues to evaluate environmental, social, and economic impacts of products and services throughout their entire life cycle. Introduced around 2008, it extends traditional life cycle assessment to address sustainability holistically. |
| ScholarGateНабор данных ↗ |
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