Name: Joint Species Distribution Modelling: With Applications in r (Ecology, Biodiversity and Conservation) (en Inglés)
SKU: 53555892
Price: 3147.76 MXN
Availability: InStock
Author: Ovaskainen, Otso ; Abrego, Nerea
ISBN: 9781108492461

portada Joint Species Distribution Modelling: With Applications in r (Ecology, Biodiversity and Conservation) (en Inglés)

Joint Species Distribution Modelling: With Applications in r (Ecology, Biodiversity and Conservation) (en Inglés)

Formato

Libro Físico

Autor

Otso Ovaskainen

Nerea Abrego

Editorial

Cambridge University Press

Año

2020

Idioma

Inglés

N° páginas

388

Encuadernación

Tapa Dura

Dimensiones

23.2x16x2.2 cm

Peso

0.73 kg.

ISBN13

9781108492461

N° edición

Categorías

Ecología, la biosfera
Ecología aplicada

Joint Species Distribution Modelling: With Applications in r (Ecology, Biodiversity and Conservation) (en Inglés)

Otso Ovaskainen (Autor) · Nerea Abrego (Autor) · Cambridge University Press · Tapa Dura

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Reseña del libro "Joint Species Distribution Modelling: With Applications in r (Ecology, Biodiversity and Conservation) (en Inglés)"

Joint species distribution modelling (JSDM) is a fast-developing field and promises to revolutionise how data on ecological communities are analysed and interpreted. Written for both readers with a limited statistical background, and those with statistical expertise, this book provides a comprehensive account of JSDM. It enables readers to integrate data on species abundances, environmental covariates, species traits, phylogenetic relationships, and the spatio-temporal context in which the data have been acquired. Step-by-step coverage of the full technical detail of statistical methods is provided, as well as advice on interpreting results of statistical analyses in the broader context of modern community ecology theory. With the advantage of numerous example R-scripts, this is an ideal guide to help graduate students and researchers learn how to conduct and interpret statistical analyses in practice with the R-package Hmsc, providing a fast starting point for applying joint species distribution modelling to their own data.