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GIS spatial information sharing of smart city based on cloud computing

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Abstract

In order to construct the GIS spatial information sharing facilities management system based on cloud computing, with the cloud computing framework as the foundation, combined with GIS technology, the disadvantages of the traditional model of spatial information sharing system are analysed, and a framework is designed, including information resources database, standards and norms construction, information infrastructure application management system and information infrastructure foreign access window. The results showed that the new system framework broke through the traditional mode, and combined information infrastructure management with map. To sum up, it can make space information sharing more intuitively and conveniently.

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References

  1. Zeng, Y., Zhang, L.: Research of service-oriented data sharing standard for spatial information system. Inf. Technol. J. 12(14), 2798–2804 (2013)

    Article  Google Scholar 

  2. Li, K.J., Ji, Y.L.: Basic concepts of indoor spatial information candidate standard indoorgml and its applications. J. Korea Spat. Inf. Soc. 21(3), 1–10 (2013)

    Google Scholar 

  3. Chen, C., Lin, J., Xiaozhu, W.U., Jianwei, W.U., Lian, H.: Massive geo-spatial data cloud storage and services based on nosql database technique. J. Geo-Inf. Sci. 15(2), 166–174 (2013)

    Google Scholar 

  4. Yoo, J.S., Shin, D.B.: Utilizing urban facility sensor information in u-city: multi-dimensional scaling approach. Spat. Inf. Res. 24(2), 53–64 (2016)

    Article  Google Scholar 

  5. Kim, M.G., Koh, J.H.: Recent research trends for geospatial information explored by twitter data. Spat. Inf. Res. 24(2), 1–9 (2016)

    Google Scholar 

  6. Kim, J.H., Kim, S.H., Sun, K.K., Sang, M.K., Jung, J.H., Heo, J.: A study on the reorganization of the national spatial information system. J. Korean Soc. Surv. Geodesy Photogram. Cartogr. 33(5), 373–383 (2015)

    Article  Google Scholar 

  7. Eilola, S., Fagerholm, N., Mäki, S., Khamis, M., Käyhkö, N.: Realization of participation and spatiality in participatory forest management—a policy—practice analysis from Zanzibar, Tanzania. J. Environ. Plan. Manage. 58(7), 1242–1269 (2015)

    Article  Google Scholar 

  8. Miller, H.J.: Beyond sharing: cultivating cooperative transportation systems through geographic information science. J. Transp. Geogr. 31(5), 296–308 (2013)

    Article  Google Scholar 

  9. Chen, P., Zhang, Q., Wu, W., Zhang, Y.: Performance analysis of crns based on joint spatial and temporal spectrum sharing. Inf. Technol. J. 13(14), 2229–2239 (2014)

    Article  Google Scholar 

  10. Singh, S.P., Singh, P.: Mapping spatial data on the web using free and open-source tools: a prototype implementation. J. Geogr. Inf. Syst. 6(1), 30–39 (2014)

    Google Scholar 

  11. Anselin, L., Rey, S.J., Li, W.: Metadata and provenance for spatial analysis: the case of spatial weights. Int. J. Geogr. Inf. Syst. 28(11), 2261–2280 (2014)

    Article  Google Scholar 

  12. Blomley, N.: Nomospheric investigations: the spatial, the legal, and the pragmatics of world-making by david delaney, glasshouse books/routledge law, abingdon, 2010, viii + 209 pp, cloth c$53.00 (isbn10: 041569778). Can. Geogr. 58(1), e1–e2 (2014)

    Article  Google Scholar 

  13. Larrue, F., Sauzeon, H., Wallet, G., Foloppe, D., Cazalets, J.R., Gross, C., et al.: Influence of body-centered information on the transfer of spatial learning from a virtual to a real environment. J. Cognit. Psychol. 26(8), 906–918 (2014)

    Article  Google Scholar 

  14. Li, W., Li, L., Goodchild, M.F., Anselin, L.: A geospatial cyber infrastructure for urban economic analysis and spatial decision-making. ISPRS Int. J. Geo Inf. 2(2), 413–431 (2013)

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledge the Fundamental Research Funds for the Central Universities (2012017yjsy217), the National Natural Science Foundation of China (Grant: 111578109), the National Natural Science Foundation of China (Grant: 11111121005).

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Correspondence to Pengzhen Cai.

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Cai, P., Jiang, Q. GIS spatial information sharing of smart city based on cloud computing. Cluster Comput 22 (Suppl 6), 14435–14443 (2019). https://doi.org/10.1007/s10586-018-2311-z

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  • DOI: https://doi.org/10.1007/s10586-018-2311-z

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