Skip to main content Accessibility help
×
  • Cited by 273
    • Show more authors
    • You may already have access via personal or institutional login
    • Select format
    • Publisher:
      Cambridge University Press
      Publication date:
      18 May 2020
      11 June 2020
      ISBN:
      9781108591720
      9781108492461
      9781108716789
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.76kg, 388 Pages
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.65kg, 388 Pages
    You may already have access via personal or institutional login
  • Selected: Digital
    Add to cart View cart Buy from Cambridge.org

    Book description

    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.

    Reviews

    ‘The authors provide a perfect blend of ecological and statistical insight into joint species distribution modeling. This book is an excellent resource for any quantitative ecologist or ecological statistician.'

    Erin M. Schliep Source: The Quarterly Review of Biology

    ‘This book is an excellent resource for any quantitative ecologist or ecological statistician interested in conducting science-driven analyses with statistical rigor to address pressing questions in community ecology.'

    Erin M. Schliep Source: The Quarterly Review of Biology

    Refine List

    Actions for selected content:

    Select all | Deselect all
    • View selected items
    • Export citations
    • Download PDF (zip)
    • Save to Kindle
    • Save to Dropbox
    • Save to Google Drive

    Save Search

    You can save your searches here and later view and run them again in "My saved searches".

    Please provide a title, maximum of 40 characters.
    ×

    Contents

    Metrics

    Altmetric attention score

    Full text views

    Total number of HTML views: 0
    Total number of PDF views: 0 *
    Loading metrics...

    Book summary page views

    Total views: 0 *
    Loading metrics...

    * Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.

    Usage data cannot currently be displayed.

    Accessibility standard: Unknown

    Why this information is here

    This section outlines the accessibility features of this content - including support for screen readers, full keyboard navigation and high-contrast display options. This may not be relevant for you.

    Accessibility Information

    Accessibility compliance for the PDF of this book is currently unknown and may be updated in the future.