Authors:
Luca Piovano
1
;
Alberto Andréu
2
;
Iris Galloso
1
and
Claudio Feijóo
2
Affiliations:
1
Universidad Polítecnica de Madrid, Spain
;
2
Universidad Politecnica de Madrid, Spain
Keyword(s):
Information Visualization, Economics, Graphs, Association Discovery Rules.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Graph Visualization
;
Information and Scientific Visualization
;
Visual Data Analysis and Knowledge Discovery
;
Visualization Applications
Abstract:
Urban economic activities are an essential facet in defining city identity. Traditional approaches rely very
often on the most theoretical and quantitative features of the studies, excluding de-facto a direct association
between those findings and the tangible subject of the analysis. To fill the gap, the Big Data era and information
visualization methodologies could help analysts, stakeholders and general audience to gain a new insight on
the field. In this paper, we want to provide some food for thought about new opportunities arising in visual
urban economies as well as present some visual results on possible scenarios.