Abstract
The introduction of cloud computing technologies as well as the growth of geospatial big data have both helped to make smart city initiatives more realistically achievable. Using geospatial Big data, cities have the potential to derive useful insights from the vast amounts of geospatial data that have been collected from a variety of sources. In the quest to realise the potential of smart cities in the future, one emerging area of research is the combination of geospatial-focused big data and cloud computing. This combination has posed a number of exciting new challenges. This article proposed and constructed a Geospatial Big Data Infrastructure model based on cloud computing called GeoTCloud for geospatial big data visualisation in the tourism industry. For smart city development, the proposed model aids in the storage, analysis, and presentation of geospatial big data in the tourism sector. Quantum GIS;Open Source GIS is utilised for geospatial database development, while Quantum GIS’ QGIS Plugin is used for geospatial cloud computing infrastructure. GeoTCloud's various geographic overlay analysis is also discussed.
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