Abstract
Abstract. Analysing spatiotemporal distribution patterns and its dynamics of different industries can help us learn the macro-level developing trends of those industries, and in turn provides references for industrial spatial planning. However, the analysis process is challenging task which requires an easy-to-understand information presentation mechanism and a powerful computational technology to support the visual analytics of big data on the fly. Due to this reason, this research proposes a web-based framework to enable such a visual analytics requirement. The framework uses standard deviational ellipse (SDE) and shifting route of gravity centers to show the spatial distribution and yearly developing trends of different enterprise types according to their industry categories. The calculation of gravity centers and ellipses is paralleled using Apache Spark to accelerate the processing. In the experiments, we use the enterprise registration dataset in Mainland China from year 1960 to 2015 that contains fine-grain location information (i.e., coordinates of each individual enterprise) to demonstrate the feasibility of this framework. The experiment result shows that the developed visual analytics method is helpful to understand the multi-level patterns and developing trends of different industries in China. Moreover, the proposed framework can be used to analyse any nature and social spatiotemporal point process with large data volume, such as crime and disease.
Highlights
The spatial pattern of one industry may influence the development of enterprises of that industry and indicate the present focus of it (Higano, 2004), which is important for enterprises or government sectors to get an easy access to a clear demonstration of enterprises distribution
The research reported here aims at introducing the design of such a web-based visualization framework that uses the shifting routes of gravity centers and standard deviational ellipses (SDE) to present the spatiotemporal distributions and their changing patterns of different industries
We designed and developed a web-based framework to visualize the spatiotemporal features of industry distribution using the shifting routes of the gravity centers and the SDEs
Summary
The spatial pattern of one industry may influence the development of enterprises of that industry and indicate the present focus of it (Higano, 2004), which is important for enterprises or government sectors to get an easy access to a clear demonstration of enterprises distribution. The shifting routes of gravity centers allow users to learn about the variation of one industry over time, while SDE, which is widely used to measure the spatial properties of a particular point distribution, can show us the trend and the range of spatial coverage of an industry in one year Those two techniques are especially useful when points are differentially weighted and of large amount. The research reported here aims at introducing the design of such a web-based visualization framework that uses the shifting routes of gravity centers and standard deviational ellipses (SDE) to present the spatiotemporal distributions and their changing patterns of different industries. The proposed framework can help end-users to obtain the spatiotemporal dynamics and in a user-friendly fashion
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