ScholarGate
Assistente

Confronta i metodi

Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.

Modelli di Distribuzione delle Specie (MaxEnt)×Valutazione della Sostenibilità del Ciclo di Vita×
CampoSostenibilitàSostenibilità
FamigliaProcess / pipelineProcess / pipeline
Anno di origine20042008
IdeatoreSteven Phillips, Robert Anderson, Robert SchapireMatthias Finkbeiner
TipoStatistical learning algorithmIntegrated assessment pipeline
Fonte seminalePhillips, 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 ↗
AliasMaxEnt, SDM, Maximum Entropy ModelLCSA
Correlati33
SintesiSpecies 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.
ScholarGateInsieme di dati
  1. v1
  2. 3 Fonti
  3. PUBLISHED
  1. v1
  2. 3 Fonti
  3. PUBLISHED

Vai alla ricerca Scarica le diapositive

ScholarGateConfronta i metodi: Species Distribution Models (MaxEnt) · Life Cycle Sustainability Assessment. Consultato il 2026-06-19 da https://scholargate.app/it/compare