Cloud GIS Model for Geospatial Bigdata Visualization towards Smart City: A case study of Bhubaneswar, Odisha

2022 OITS International Conference on Information Technology (OCIT) Pub Date : 2022-12-01 DOI:10.1109/OCIT56763.2022.00093

Rabindra Kumar Barik, S. Tripathy, Aishwarya Nayak, D. S. Roy

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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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面向智慧城市的地理空间大数据可视化云GIS模型——以奥里萨邦布巴内斯瓦尔为例

云计算技术的引入以及地理空间大数据的增长都有助于使智慧城市倡议更现实地实现。利用地理空间大数据，城市有可能从从各种来源收集的大量地理空间数据中获得有用的见解。为了实现未来智慧城市的潜力，一个新兴的研究领域是将以地理空间为重点的大数据与云计算相结合。这种组合带来了许多令人兴奋的新挑战。本文针对旅游行业地理空间大数据可视化，提出并构建了基于云计算的地理空间大数据基础设施模型GeoTCloud。对于智慧城市的发展，所提出的模型有助于旅游业地理空间大数据的存储、分析和呈现。量子GIS:利用开源GIS开发地理空间数据库，利用量子GIS的QGIS插件开发地理空间云计算基础设施。讨论了GeoTCloud的各种地理叠加分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 OITS International Conference on Information Technology (OCIT)

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