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Ecological forecasting /

Ecologists are being asked to respond to unprecedented environmental challenges. How can they provide the best available scientific information about what will happen in the future? Ecological Forecasting is the first book to bring together the concepts and tools needed to make ecology a more predic...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dietze, Michael Christopher, 1976- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton, New Jersey : Princeton University Press, [2017]
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Introduction
  • From models to forecasts
  • Data, large and small
  • Scientific workflows and the informatics of model-data fusion
  • Introduction to Bayes
  • Characterizing uncertainty
  • Case study : Biodiversity, populations, and endangered species
  • Latent variables and state-space models
  • Fusing data sources
  • Case study : Natural resources
  • Propagating, analyzing, and reducing uncertainty
  • Case study : Carbon cycle
  • Data assimilation 1 : analytical methods
  • Data assimilation 2 : Monte Carlo methods
  • Epidemiology
  • Assessing model performance
  • Projection and decision support
  • Final thoughts.