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Artfördelningsmodeller (MaxEnt)×Hållbarhetsbedömning av livscykeln×
ÄmnesområdeHållbarhetHållbarhet
FamiljProcess / pipelineProcess / pipeline
Ursprungsår20042008
UpphovspersonSteven Phillips, Robert Anderson, Robert SchapireMatthias Finkbeiner
TypStatistical learning algorithmIntegrated assessment pipeline
UrsprungskällaPhillips, 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
Närliggande33
SammanfattningSpecies 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.
ScholarGateDatamängd
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  2. 3 Källor
  3. PUBLISHED
  1. v1
  2. 3 Källor
  3. PUBLISHED

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ScholarGateJämför metoder: Species Distribution Models (MaxEnt) · Life Cycle Sustainability Assessment. Hämtad 2026-06-20 från https://scholargate.app/sv/compare