Abstract
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.
Highlights
Economic environment is unquestionably important for entrepreneurial activities and innovations
Understanding the trend of economic environment is vital for commercial investment, city planning and company strategy planning
We propose an interactive dashboard for visual analysis: visualization methods such as choropleth mapping, small multiples, spatial interpolation are applied
Summary
Economic environment is unquestionably important for entrepreneurial activities and innovations. It is the result of the influence of many factors, such as business, education, logistic, politics, natural resources. Understanding the trend of economic environment is vital for commercial investment, city planning and company strategy planning. The analysis of economic environment is challenging due to its numerous impact factors, and large amount of heterogeneous datasets. Mastering the information related with economic environment is hard for the public.s. Economic environment is an intensively observed research domain, where an enormous number of studies related with spatial economics were conducted. Visualizations applied in those research were only served to present the results of the analysis
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