Habitat Suitability and Distribution Models. With application in R

Par : Antoine Guisan, Wilfried Thuiller, Nicklaus E. Zimmermann
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  • Nombre de pages462
  • PrésentationBroché
  • FormatGrand Format
  • Poids0.81 kg
  • Dimensions15,2 cm × 22,7 cm × 2,5 cm
  • ISBN978-0-521-75836-9
  • EAN9780521758369
  • Date de parution01/09/2017
  • CollectionEcology, Biodiversity and Cons
  • ÉditeurCambridge University Press
  • ContributeurValeria Di Cola

Résumé

This book introduces the key stages of niche-based habitat suitability model building, evaluation and prediction required for understanding and predicting furore patterns of species and biodiversity. Beginning with the main theory behind ecological niches and species distributions, the book proceeds through all major steps of model building, from conceptualization and model training to model evaluation and spazo-temporal predictions.
Extensive examples using Rsupport graduate students and researchers in quantifying ecological niches and predicting species distributions with their own data, and help to address key environmental and conservation problems. Reflecting this highly active field of research, the book incorporates the latest developments from informatics and statistics, as well as using data from remote sources such as satellite imagery.
Awebsite at www.unil.chlhsdm contains the codes and supporting material required to run the examples and teach courses.
This book introduces the key stages of niche-based habitat suitability model building, evaluation and prediction required for understanding and predicting furore patterns of species and biodiversity. Beginning with the main theory behind ecological niches and species distributions, the book proceeds through all major steps of model building, from conceptualization and model training to model evaluation and spazo-temporal predictions.
Extensive examples using Rsupport graduate students and researchers in quantifying ecological niches and predicting species distributions with their own data, and help to address key environmental and conservation problems. Reflecting this highly active field of research, the book incorporates the latest developments from informatics and statistics, as well as using data from remote sources such as satellite imagery.
Awebsite at www.unil.chlhsdm contains the codes and supporting material required to run the examples and teach courses.