Multivariate Maps—A Glyph-Placement Algorithm to Support Multivariate Geospatial Visualization
Maps are one of the most conventional types of visualization used when conveying information to both inexperienced users and advanced analysts. However, the multivariate representation of data on maps is still considered an unsolved problem. We present a multivariate map that uses geo-space to guide...
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doaj-7ecf1de079224a8d9579ce28f1bf8f3e2020-11-25T02:03:11ZengMDPI AGInformation2078-24892019-09-01101030210.3390/info10100302info10100302Multivariate Maps—A Glyph-Placement Algorithm to Support Multivariate Geospatial VisualizationLiam McNabb0Robert S. Laramee1Visual and Interactive Computing Group, Department of Computer Science, Swansea University, Bay Campus, Swansea SA1 8EN, UKVisual and Interactive Computing Group, Department of Computer Science, Swansea University, Bay Campus, Swansea SA1 8EN, UKMaps are one of the most conventional types of visualization used when conveying information to both inexperienced users and advanced analysts. However, the multivariate representation of data on maps is still considered an unsolved problem. We present a multivariate map that uses geo-space to guide the position of multivariate glyphs and enable users to interact with the map and glyphs, conveying meaningful data at different levels of detail. We develop an algorithm pipeline for this process and demonstrate how the user can adjust the level-of-detail of the resulting imagery. The algorithm features a unique combination of guided glyph placement, level-of-detail, dynamic zooming, and smooth transitions. We present a selection of user options to facilitate the exploration process and provide case studies to support how the application can be used. We also compare our placement algorithm with previous geo-spatial glyph placement algorithms. The result is a novel glyph placement solution to support multi-variate maps.https://www.mdpi.com/2078-2489/10/10/302information visualizationmultivariate mapsglyphslevel-of-detail |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Liam McNabb Robert S. Laramee |
spellingShingle |
Liam McNabb Robert S. Laramee Multivariate Maps—A Glyph-Placement Algorithm to Support Multivariate Geospatial Visualization Information information visualization multivariate maps glyphs level-of-detail |
author_facet |
Liam McNabb Robert S. Laramee |
author_sort |
Liam McNabb |
title |
Multivariate Maps—A Glyph-Placement Algorithm to Support Multivariate Geospatial Visualization |
title_short |
Multivariate Maps—A Glyph-Placement Algorithm to Support Multivariate Geospatial Visualization |
title_full |
Multivariate Maps—A Glyph-Placement Algorithm to Support Multivariate Geospatial Visualization |
title_fullStr |
Multivariate Maps—A Glyph-Placement Algorithm to Support Multivariate Geospatial Visualization |
title_full_unstemmed |
Multivariate Maps—A Glyph-Placement Algorithm to Support Multivariate Geospatial Visualization |
title_sort |
multivariate maps—a glyph-placement algorithm to support multivariate geospatial visualization |
publisher |
MDPI AG |
series |
Information |
issn |
2078-2489 |
publishDate |
2019-09-01 |
description |
Maps are one of the most conventional types of visualization used when conveying information to both inexperienced users and advanced analysts. However, the multivariate representation of data on maps is still considered an unsolved problem. We present a multivariate map that uses geo-space to guide the position of multivariate glyphs and enable users to interact with the map and glyphs, conveying meaningful data at different levels of detail. We develop an algorithm pipeline for this process and demonstrate how the user can adjust the level-of-detail of the resulting imagery. The algorithm features a unique combination of guided glyph placement, level-of-detail, dynamic zooming, and smooth transitions. We present a selection of user options to facilitate the exploration process and provide case studies to support how the application can be used. We also compare our placement algorithm with previous geo-spatial glyph placement algorithms. The result is a novel glyph placement solution to support multi-variate maps. |
topic |
information visualization multivariate maps glyphs level-of-detail |
url |
https://www.mdpi.com/2078-2489/10/10/302 |
work_keys_str_mv |
AT liammcnabb multivariatemapsaglyphplacementalgorithmtosupportmultivariategeospatialvisualization AT robertslaramee multivariatemapsaglyphplacementalgorithmtosupportmultivariategeospatialvisualization |
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1724948953470861312 |