Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Sugu izplatības modeļi (MaxEnt)× | Dzīves cikla ilgtspējas novērtējums× | |
|---|---|---|
| Nozare | Ilgtspēja | Ilgtspēja |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2004 | 2008 |
| Autors≠ | Steven Phillips, Robert Anderson, Robert Schapire | Matthias Finkbeiner |
| Tips≠ | Statistical learning algorithm | Integrated assessment pipeline |
| Pirmavots≠ | 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 ↗ |
| Citi nosaukumi≠ | MaxEnt, SDM, Maximum Entropy Model | LCSA |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | 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. |
| ScholarGateDatu kopa ↗ |
|
|