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Spatial Analytics and Data Visualization

In: Handbook of e-Tourism

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  • Yang Yang

    (Temple University)

Abstract

Along with the growing availability of geospatial data generated with information and communications technologies, spatial analytics and data visualization have prevailed in e-tourism research. This chapter systematically reviews the application of spatial analytics and data visualization in tourism. Specifically, the chapter discusses various exploratory analytics, such as spatial network analysis, spatial clustering, point pattern analysis, ESDA, and sequence analysis, and explanatory analytics, such as spatial interaction model, spatial econometrics, and geographically weighted regression. Some popular geovisualization methods are discussed with examples of their e-tourism applications. Lastly, the chapter discusses several major challenges of spatial analytics and geovisualization, including tourist identification, temporal angle in addition to the spatial analysis, computation burden, and web-based GIS applications.

Suggested Citation

  • Yang Yang, 2022. "Spatial Analytics and Data Visualization," Springer Books, in: Zheng Xiang & Matthias Fuchs & Ulrike Gretzel & Wolfram Höpken (ed.), Handbook of e-Tourism, chapter 25, pages 595-616, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-48652-5_34
    DOI: 10.1007/978-3-030-48652-5_34
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    Cited by:

    1. Yang Yang & Xiang Chen & Song Gao & Zhenlong Li & Zhe Zhang & Bo Zhao, 2023. "Embracing geospatial analytical technologies in tourism studies," Information Technology & Tourism, Springer, vol. 25(2), pages 137-150, June.

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