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Model Taburan Spesies (MaxEnt)×Penilaian Kemampanan Kitaran Hayat×
BidangKemampananKemampanan
KeluargaProcess / pipelineProcess / pipeline
Tahun asal20042008
PengasasSteven Phillips, Robert Anderson, Robert SchapireMatthias Finkbeiner
JenisStatistical learning algorithmIntegrated assessment pipeline
Sumber perintisPhillips, 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
Berkaitan33
RingkasanSpecies 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.
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ScholarGateBandingkan kaedah: Species Distribution Models (MaxEnt) · Life Cycle Sustainability Assessment. Dicapai 2026-06-19 daripada https://scholargate.app/ms/compare