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Gradually morphing a thematic map series based on cellular automata

Published: 01 January 2018 Publication History
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  • Abstract

    Maps are often animated to help users make comparisons and comprehend trends. However, large and complex differences between sequential maps can inhibit users from doing so. This paper proposes a morphing technique to highlight trends without manual intervention. Changes between sequential maps are considered as the diffusion processes of expanding classes, with these processes simulated by cellular automata. A skeleton extraction technique is introduced to handle special cases. Experimental results demonstrate that the proposed morphing technique can reveal obvious trends between dramatically changed maps. The potential application of the proposed morphing technique in sequential spatial data e.g. remote-sensing images is discussed.

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          cover image International Journal of Geographical Information Science
          International Journal of Geographical Information Science  Volume 32, Issue 1
          January 2018
          212 pages
          ISSN:1365-8816
          EISSN:1365-8824
          Issue’s Table of Contents

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          Taylor & Francis, Inc.

          United States

          Publication History

          Published: 01 January 2018

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