A fisheye map lets users view both detailed and wide areas. The Focus+Glue+Context map is a fisheye map suited for Web map systems; it consists of a detailed map (i.e., Focus), wide-area map (i.e., Context), and an area to absorb the difference in scales between Focus and Context (i.e., Glue). Because Glue is compressed, the road density is too high to draw all of the roads in this area. Although existing methods can filter roads to draw, they have problems with rendering the road density and connectivity in Glue. This paper proposes an improved method to filter roads in Glue by applying a generalization method based on weighted strokes. In addition, a technique to speed up the proposed method by using a weighted stroke database is described. A prototype Web map system with a high level of response was developed and evaluated in terms of its connectivity, road density, and response.
Daisuke YAMAMOTO
Nagoya Institute of Technology
Masaki MURASE
Nagoya Institute of Technology
Naohisa TAKAHASHI
Nagoya Institute of Technology
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Daisuke YAMAMOTO, Masaki MURASE, Naohisa TAKAHASHI, "Fisheye Map Using Stroke-Based Generalization for Web Map Services" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 1, pp. 171-180, January 2018, doi: 10.1587/transinf.2017EDP7014.
Abstract: A fisheye map lets users view both detailed and wide areas. The Focus+Glue+Context map is a fisheye map suited for Web map systems; it consists of a detailed map (i.e., Focus), wide-area map (i.e., Context), and an area to absorb the difference in scales between Focus and Context (i.e., Glue). Because Glue is compressed, the road density is too high to draw all of the roads in this area. Although existing methods can filter roads to draw, they have problems with rendering the road density and connectivity in Glue. This paper proposes an improved method to filter roads in Glue by applying a generalization method based on weighted strokes. In addition, a technique to speed up the proposed method by using a weighted stroke database is described. A prototype Web map system with a high level of response was developed and evaluated in terms of its connectivity, road density, and response.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2017EDP7014/_p
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@ARTICLE{e101-d_1_171,
author={Daisuke YAMAMOTO, Masaki MURASE, Naohisa TAKAHASHI, },
journal={IEICE TRANSACTIONS on Information},
title={Fisheye Map Using Stroke-Based Generalization for Web Map Services},
year={2018},
volume={E101-D},
number={1},
pages={171-180},
abstract={A fisheye map lets users view both detailed and wide areas. The Focus+Glue+Context map is a fisheye map suited for Web map systems; it consists of a detailed map (i.e., Focus), wide-area map (i.e., Context), and an area to absorb the difference in scales between Focus and Context (i.e., Glue). Because Glue is compressed, the road density is too high to draw all of the roads in this area. Although existing methods can filter roads to draw, they have problems with rendering the road density and connectivity in Glue. This paper proposes an improved method to filter roads in Glue by applying a generalization method based on weighted strokes. In addition, a technique to speed up the proposed method by using a weighted stroke database is described. A prototype Web map system with a high level of response was developed and evaluated in terms of its connectivity, road density, and response.},
keywords={},
doi={10.1587/transinf.2017EDP7014},
ISSN={1745-1361},
month={January},}
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TY - JOUR
TI - Fisheye Map Using Stroke-Based Generalization for Web Map Services
T2 - IEICE TRANSACTIONS on Information
SP - 171
EP - 180
AU - Daisuke YAMAMOTO
AU - Masaki MURASE
AU - Naohisa TAKAHASHI
PY - 2018
DO - 10.1587/transinf.2017EDP7014
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2018
AB - A fisheye map lets users view both detailed and wide areas. The Focus+Glue+Context map is a fisheye map suited for Web map systems; it consists of a detailed map (i.e., Focus), wide-area map (i.e., Context), and an area to absorb the difference in scales between Focus and Context (i.e., Glue). Because Glue is compressed, the road density is too high to draw all of the roads in this area. Although existing methods can filter roads to draw, they have problems with rendering the road density and connectivity in Glue. This paper proposes an improved method to filter roads in Glue by applying a generalization method based on weighted strokes. In addition, a technique to speed up the proposed method by using a weighted stroke database is described. A prototype Web map system with a high level of response was developed and evaluated in terms of its connectivity, road density, and response.
ER -