Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

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.
Cancel
×

2 results

  • 10 - Information Loss

  • Tom Leinster, University of Edinburgh
  • Book:
    Entropy and Diversity
    Published online:
    21 April 2021
    Print publication:
    22 April 2021, pp 329-342

  • Summary

    Any deterministic process loses information, and one can quantify the amount of information lost. Information loss is a generalization of entropy, and in some ways is a better-behaved quantity, being more functorial. We give a simple axiomatic characterization of information loss.

  • 8 - Mutual Information and Metacommunities

  • Tom Leinster, University of Edinburgh
  • Book:
    Entropy and Diversity
    Published online:
    21 April 2021
    Print publication:
    22 April 2021, pp 257-302

  • Summary

    We give a short introduction to some classical information-theoretic quantities: joint entropy, conditional entropy and mutual information. We then interpret their exponentials ecologically, as meaningful measures of subcommunities of a larger metacommunity. These subcommunity and metacommunity measures have excellent logical properties, as we establish. We also show how all these quantities can be presented in terms of relative entropy and the value measures of the previous chapter.