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نماذج توزيع الأنواع (MaxEnt)×تقييم استدامة دورة الحياة×
المجالالاستدامةالاستدامة
العائلةProcess / pipelineProcess / pipeline
سنة النشأة20042008
صاحب الطريقةSteven Phillips, Robert Anderson, Robert SchapireMatthias Finkbeiner
النوعStatistical learning algorithmIntegrated assessment pipeline
المصدر التأسيسيPhillips, 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 ↗
الأسماء البديلةMaxEnt, SDM, Maximum Entropy ModelLCSA
ذات صلة33
الملخصSpecies 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.
ScholarGateمجموعة البيانات
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  2. 3 المصادر
  3. PUBLISHED
  1. v1
  2. 3 المصادر
  3. PUBLISHED

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ScholarGateقارن الطرق: Species Distribution Models (MaxEnt) · Life Cycle Sustainability Assessment. استُرجع بتاريخ 2026-06-20 من https://scholargate.app/ar/compare