Authors:
Evgheni Polisciuc
;
Pedro Cruz
;
Hugo Amaro
;
Catarina Maçãs
and
Penousal Machado
Affiliation:
CISUC, Portugal
Keyword(s):
Flow Map, Origin-Destination Map, Thematic Map, Flow Visualization, Geovisualization, Big Data.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
Flow Visualization
;
General Data Visualization
;
Graph Visualization
;
Information and Scientific Visualization
;
Large Data Visualization
;
Spatial Data Visualization
;
Time-Dependent Visualization
;
Visualization Applications
Abstract:
Representing large amounts of data using flow maps involves dealing with the reduction of visual cluttering. This article presents a method for generating flow maps and visualizing products being transported from warehouse to supermarkets in a major retail company in Portugal. Our approach uses a swarm-based system to reduce visual clutter, bundling edges in an organic fashion and improving clarity. Additionally, the Dorling cartograms technique is applied to reduce overlapping of graphical elements that render locations in geographic space. Finally, different design decisions enable a multi-perspective visualization of the same dataset.