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Authors: Valentino Di Donato ; Maurizio Patrignani and Claudio Squarcella

Affiliation: Roma Tre University, Italy

ISBN: 978-989-758-289-9

Keyword(s): Geographic Visualization, Flow Visualization, Geographical Networks, Time Series Data.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; Coordinated and Multiple Views ; Flow Visualization ; General Data Visualization ; Interactive Visual Interfaces for Visualization ; Spatial Data Visualization ; Visual Data Analysis and Knowledge Discovery

Abstract: We present FLOWMATRIX, a system for the interactive exploration of time-labeled multivariate flows between pairs of geographic locations. FLOWMATRIX offers a coordinated visualization based on the interplay between a geographic map and a matrix that allow to discover trends tied to specific locations while offering an overview of metrics of the flows between all pairs of locations. The input data is clustered following a geographic hierarchy and the user can navigate between different levels of detail. The design of our system privileges the execution of simple tasks like assessing the volume and features of the flows between pairs of locations, enumerating destinations with poor performance, and sorting flow streams based on their volume.

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Paper citation in several formats:
Di Donato V., Patrignani M. and Squarcella C. (2018). Exploring Flow Metrics in Dense Geographical Networks.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, ISBN 978-989-758-289-9, pages 52-61. DOI: 10.5220/0006548700520061

@conference{ivapp18,
author={Valentino Di Donato and Maurizio Patrignani and Claudio Squarcella},
title={Exploring Flow Metrics in Dense Geographical Networks},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,},
year={2018},
pages={52-61},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006548700520061},
isbn={978-989-758-289-9},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,
TI - Exploring Flow Metrics in Dense Geographical Networks
SN - 978-989-758-289-9
AU - Di Donato V.
AU - Patrignani M.
AU - Squarcella C.
PY - 2018
SP - 52
EP - 61
DO - 10.5220/0006548700520061

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