TY - JOUR
T1 - Resizing geovisualization with density map via a map collage
AU - Chen, Junjie
AU - Wang, Changbo
AU - Li, Chenhui
N1 - Publisher Copyright:
© 2019, The Visualization Society of Japan.
PY - 2020/2/1
Y1 - 2020/2/1
N2 - Abstract: The extensive distribution of portable digital devices brings demands of adapting media to restricted display spaces or various aspect ratios. Most existing content-aware visualization resizing approaches introduce nonlinear deformation to enhance or preserve salient areas while squeezing non-salient ones. Their deformation on image-based geographic context could cause confusion and make it harder to interpret by the general mobile user. In this paper, we describe a deformation-free approach to resize the geovisualization using density map, resulting in a collage layout of sub-maps, called map collage. We show our technique of constructing a collage layout for one frame of geospatial data and a strategy of extending it to the temporal dimension. We demonstrate the results on two sets of geotemporal data and conducted a survey comparing our method, the seam carving, and the uniform scaling, which shows that ours is more preferred than the other two. Graphic abstract: [Figure not available: see fulltext.]
AB - Abstract: The extensive distribution of portable digital devices brings demands of adapting media to restricted display spaces or various aspect ratios. Most existing content-aware visualization resizing approaches introduce nonlinear deformation to enhance or preserve salient areas while squeezing non-salient ones. Their deformation on image-based geographic context could cause confusion and make it harder to interpret by the general mobile user. In this paper, we describe a deformation-free approach to resize the geovisualization using density map, resulting in a collage layout of sub-maps, called map collage. We show our technique of constructing a collage layout for one frame of geospatial data and a strategy of extending it to the temporal dimension. We demonstrate the results on two sets of geotemporal data and conducted a survey comparing our method, the seam carving, and the uniform scaling, which shows that ours is more preferred than the other two. Graphic abstract: [Figure not available: see fulltext.]
KW - Density map
KW - Geovisualization
KW - Information visualization
KW - Spatial-temporal data
KW - Visualization resizing
UR - https://www.scopus.com/pages/publications/85074602879
U2 - 10.1007/s12650-019-00610-4
DO - 10.1007/s12650-019-00610-4
M3 - 文章
AN - SCOPUS:85074602879
SN - 1343-8875
VL - 23
SP - 125
EP - 139
JO - Journal of Visualization
JF - Journal of Visualization
IS - 1
ER -