Spatial Analytics and Data Visualization

Yang Yang ()
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Yang Yang: Temple University

Chapter 25 in Handbook of e-Tourism, 2022, pp 595-616 from Springer

Abstract: 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.

Keywords: Spatial analytics; Geovisualization; Spatial econometrics; GIS (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-48652-5_34

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DOI: 10.1007/978-3-030-48652-5_34

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