Visual Analytics for Regional Economic Environment Factors Based on a Dashboard Design
Open access
Date
2019Type
- Conference Paper
ETH Bibliography
no
Altmetrics
Abstract
Economic environment is vital for commercial investment, city planning and company strategy planning in urban areas. Mastering the economical trend may help the entrepreneurs, government officers and individuals in their decision-making process. In this study, we explore multiple geo-economic datasets using visual analytics methods for understanding the economic environment. More specifically, we user time-series Gross Domestic Product (GDP) data as an economic indicator of economic development and land use data to support the spatial analysis at a refined geographic scale. The spatiotemporal patterns of the regional economic environment are revealed both qualitatively and quantitatively. The work has a three-fold contributions: (1) we apply a grid-based spatial interpolation model to derive GDP values at a file granularity based on land use data; (2) we design a novel interactive dashboard for the GDP data exploration, which serves as a visual analytical tool between data and users; (3) we combine quantitative analysis with visualizations to strengthen the qualitative analysis. The feasibility of visual analytics methods and the dashboard design are tested in one of the most developed regions, Jiangsu Province, China. Both expected and unexpected economical patterns were extracted. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000616684Publication status
publishedExternal links
Editor
Book title
29th International Cartographic ConferenceJournal / series
Proceedings of the ICAVolume
Pages / Article No.
Publisher
CopernicusEvent
Subject
Visual analytics; Spatiotemporal analysis; Choropleth maps; Small multiplesOrganisational unit
02261 - Center for Sustainable Future Mobility / Center for Sustainable Future Mobility
More
Show all metadata
ETH Bibliography
no
Altmetrics