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Tiled vector data model for the geographical features of symbolized maps

Electronic maps (E-maps) provide people with convenience in real-world space. Although web map services can display maps on screens, a more important function is their ability to access geographical features. An E-map that is based on raster tiles is inferior to vector tiles in terms of interactive...

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Detalles Bibliográficos
Autores principales: Li, Lin, Hu, Wei, Zhu, Haihong, Li, You, Zhang, Hang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5419533/
https://www.ncbi.nlm.nih.gov/pubmed/28475578
http://dx.doi.org/10.1371/journal.pone.0176387
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author Li, Lin
Hu, Wei
Zhu, Haihong
Li, You
Zhang, Hang
author_facet Li, Lin
Hu, Wei
Zhu, Haihong
Li, You
Zhang, Hang
author_sort Li, Lin
collection PubMed
description Electronic maps (E-maps) provide people with convenience in real-world space. Although web map services can display maps on screens, a more important function is their ability to access geographical features. An E-map that is based on raster tiles is inferior to vector tiles in terms of interactive ability because vector maps provide a convenient and effective method to access and manipulate web map features. However, the critical issue regarding rendering tiled vector maps is that geographical features that are rendered in the form of map symbols via vector tiles may cause visual discontinuities, such as graphic conflicts and losses of data around the borders of tiles, which likely represent the main obstacles to exploring vector map tiles on the web. This paper proposes a tiled vector data model for geographical features in symbolized maps that considers the relationships among geographical features, symbol representations and map renderings. This model presents a method to tailor geographical features in terms of map symbols and ‘addition’ (join) operations on the following two levels: geographical features and map features. Thus, these maps can resolve the visual discontinuity problem based on the proposed model without weakening the interactivity of vector maps. The proposed model is validated by two map data sets, and the results demonstrate that the rendered (symbolized) web maps present smooth visual continuity.
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spelling pubmed-54195332017-05-14 Tiled vector data model for the geographical features of symbolized maps Li, Lin Hu, Wei Zhu, Haihong Li, You Zhang, Hang PLoS One Research Article Electronic maps (E-maps) provide people with convenience in real-world space. Although web map services can display maps on screens, a more important function is their ability to access geographical features. An E-map that is based on raster tiles is inferior to vector tiles in terms of interactive ability because vector maps provide a convenient and effective method to access and manipulate web map features. However, the critical issue regarding rendering tiled vector maps is that geographical features that are rendered in the form of map symbols via vector tiles may cause visual discontinuities, such as graphic conflicts and losses of data around the borders of tiles, which likely represent the main obstacles to exploring vector map tiles on the web. This paper proposes a tiled vector data model for geographical features in symbolized maps that considers the relationships among geographical features, symbol representations and map renderings. This model presents a method to tailor geographical features in terms of map symbols and ‘addition’ (join) operations on the following two levels: geographical features and map features. Thus, these maps can resolve the visual discontinuity problem based on the proposed model without weakening the interactivity of vector maps. The proposed model is validated by two map data sets, and the results demonstrate that the rendered (symbolized) web maps present smooth visual continuity. Public Library of Science 2017-05-05 /pmc/articles/PMC5419533/ /pubmed/28475578 http://dx.doi.org/10.1371/journal.pone.0176387 Text en © 2017 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Li, Lin
Hu, Wei
Zhu, Haihong
Li, You
Zhang, Hang
Tiled vector data model for the geographical features of symbolized maps
title Tiled vector data model for the geographical features of symbolized maps
title_full Tiled vector data model for the geographical features of symbolized maps
title_fullStr Tiled vector data model for the geographical features of symbolized maps
title_full_unstemmed Tiled vector data model for the geographical features of symbolized maps
title_short Tiled vector data model for the geographical features of symbolized maps
title_sort tiled vector data model for the geographical features of symbolized maps
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5419533/
https://www.ncbi.nlm.nih.gov/pubmed/28475578
http://dx.doi.org/10.1371/journal.pone.0176387
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