On integrating size and shape distributions into a spatio-temporal information entropy framework

Leibovici, D.G. orcid.org/0000-0002-3903-2443 and Claramunt, C. (2019) On integrating size and shape distributions into a spatio-temporal information entropy framework. Entropy, 21 (11). 1112. ISSN 1099-4300

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Keywords: spatio-temporal information; geolocated data; entropy decomposition; permutation entropy; patch size distribution; patch shape distribution; multiple scale; co-occurrences; spatio-temporal data analysis; multiway correspondence analysis; land cover change
Dates:
  • Accepted: 8 November 2019
  • Published (online): 13 November 2019
  • Published: 13 November 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 02 Dec 2019 14:15
Last Modified: 02 Dec 2019 14:15
Status: Published
Publisher: MDPI
Refereed: Yes
Identification Number: https://doi.org/10.3390/e21111112

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