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Information Theory as a consistent framework for quantification and classification of landscape patterns

View ORCID ProfileJakub Nowosad, Tomasz F. Stepinski
doi: https://doi.org/10.1101/383281
Jakub Nowosad
1Space Informatics Lab, University of Cincinnati, OH, USA, E-mail: ,
2Institute of Geoecology and Geoinformation, Adam Mickiewicz University, Poznan, Poland
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  • ORCID record for Jakub Nowosad
  • For correspondence: nowosad.jakub@gmail.com nowosad.jakub@gmail.com stepintz@uc.edu
Tomasz F. Stepinski
1Space Informatics Lab, University of Cincinnati, OH, USA, E-mail: ,
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  • For correspondence: nowosad.jakub@gmail.com stepintz@uc.edu
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Abstract

Context Quantitative grouping of similar landscape patterns is an important part of landscape ecology due to the relationship between a pattern and an underlying ecological process. One of the priorities in landscape ecology is a development of the theoretically consistent framework for quantifying, ordering and classifying landscape patterns.

Objective To demonstrate that the Information Theory as applied to a bivariate random variable provides a consistent framework for quantifying, ordering, and classifying landscape patterns.

Methods After presenting Information Theory in the context of landscapes, information-theoretical metrics were calculated for an exemplar set of landscapes embodying all feasible configurations of land cover patterns. Sequences and 2D parametrization of patterns in this set were performed to demonstrate the feasibility of Information Theory for the analysis of landscape patterns.

Results Universal classification of landscape into pattern configuration types was achieved by transforming landscapes into a 2D space of weakly correlated information-theoretical metrics. An ordering of landscapes by any single metric cannot produce a sequence of continuously changing patterns. In real-life patterns, diversity induces complexity – increasingly diverse patterns are increasingly complex.

Conclusions Information theory provides a consistent, theory-based framework for the analysis of landscape patterns. Information-theoretical parametrization of landscapes offers a method for their classification.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted June 19, 2019.
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Information Theory as a consistent framework for quantification and classification of landscape patterns
Jakub Nowosad, Tomasz F. Stepinski
bioRxiv 383281; doi: https://doi.org/10.1101/383281
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Information Theory as a consistent framework for quantification and classification of landscape patterns
Jakub Nowosad, Tomasz F. Stepinski
bioRxiv 383281; doi: https://doi.org/10.1101/383281

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