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Research on the Integration of Spatial Data Service Based on Geographic Service

  • Conference paper
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Computational Intelligence and Intelligent Systems (ISICA 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 575))

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Abstract

Spatial data integration is the direction of the spatial data management and use. Because of the correlation between spatial data, the data redundancy and inconsistency appear, that is an important question in data integration. As a method based on user demand and data production, geographic service provides a method to solve the problem of data redundancy and inconsistency. The paper discusses the theory and method of the integration of spatial data based on geographic service and gives an example of MODIS vegetation index, showing the feasibility and superiority of this method.

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References

  1. Chen, J., Fei, C.Y.: Overview of study on Geo-spatial data integration. Prog. Geogr. 19(3), 203–211 (2000)

    Google Scholar 

  2. Li, J., Zhang, D.F.: Theories and systems of Geo-spatial data integration. Prog. Geogr. 20(2), 138–144 (2001)

    Google Scholar 

  3. Chen, Y.G., Wang, J.C.: A review of data integration. Comput. Sci. 31(5), 48–51 (2004)

    Google Scholar 

  4. Cai, H.N., Xie, J., Wen, J.H., et al.: Research and application of geographic data integration based on XML. Comput. Eng. 34(15), 77–79 (2008)

    Google Scholar 

  5. Chen, C.B., Wu, Q.Y., Chen, C.C.: Application of GIS in merchandise delivery information system of chainstores. Sci. Surv. Mapp. 30(5), 53–55 (2005)

    Google Scholar 

  6. Ma, X.: Integration and share of spatial data based on web service. Shanghai Jiaotong University (2006)

    Google Scholar 

  7. Qi, Y., Chen, L., Zhang, R.X., et al.: A distributed web GIS data integration accessstrategy based on the dual-cache mechanism. Comput. Eng. Sci. 29(5), 41–44 (2007)

    Google Scholar 

  8. Open Geospatial Consortium Inc. Web Feature Service Implementation Specification[EB/OL], 23 June 2013. http://www.opengeospatial.org/standards/wfs

  9. Open Geospatial Consortium Inc. OGC\(\textregistered \) WCS 2.0 Interface Standard - Core[EB/OL], 23 June 2013. http://www.opengeospatial.org/standards/wcs

  10. Open Geospatial Consortium Inc. OpenGIS\(\textregistered \) Web Map Server Implementation Specification[EB/OL], 23 June 2013. http://www.opengeospatial.org/standards/wms

  11. Open Geospatial Consortium Inc. OpenGIS\(\textregistered \) Web Processing Service[EB/OL], 23 June 2013. http://www.opengeospatial.org/standards/wps

  12. Foerster, T., Stoter, J.: Establishing an OGC web processing service for generalization processes. In: Workshop of the ICA Commission on Map Generalisation and Multiple Representation, vol. 6, p. 25 (2006)

    Google Scholar 

  13. Xiaoliang, M., Yichun, X., Fuling, B.: Distributed geospatial analysis through web processing service: a case study of earthquake disaster assessment. J. Softw. 6, 671–679 (2010)

    Google Scholar 

  14. Gerlach, R., Schmullius, C., Nativi, S.: Establishing a web processing service for online analysis of earth observation time series data. Geophys. Res. Abstr. 10 (2008)

    Google Scholar 

  15. Stollberg, B., Zipf, A.: OGC web processing service interface for web service orchestration aggregating Geo-processing services in a bomb threat scenario

    Google Scholar 

  16. Guo, N.: Vegetation index and its advances. Arid Meteorol. 21(4), 71–75 (2003)

    Google Scholar 

  17. Yang, H., Huang, W., Wang, J., et al.: Monitoring rice growth stages based on time series HJ-1A/1B CCD images. Trans. CSAE 27(4), 219–224 (2011)

    MathSciNet  Google Scholar 

  18. http://earthexplorer.usgs.gov//

  19. Hazzard, E.: OpenLayers 2.10 Beginner’s Guide, pp. 3–4. Packt Publishing, Birmingham (2011)

    Google Scholar 

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Acknowledgment

This work was supported by Science & Technology Plan of Shandong High School (J14LN11).

Author information

Authors and Affiliations

  1. Key Laboratory of Evidence-Identifying in Universities of Shandong, Shandong University of Political Science and Law, Jinan, China

    Lei Shang

  2. Department of Science and Engineering, Xinyang Normal University Huarui College, Xinyang, China

    Shujing Xu

  3. 66008 Unit, The Chinese People’s Liberation Army, Tangshan, China

    Wei Hou

  4. 95685 Unit, The Chinese People’s Liberation Army, Kunming, China

    Lipeng Zhou

Authors
  1. Lei Shang
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  2. Shujing Xu
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  3. Wei Hou
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  4. Lipeng Zhou
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Corresponding author

Correspondence to Lei Shang .

Editor information

Editors and Affiliations

  1. College of Mathematics and Informatics, The South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. School of Computer Science, Guangzhou University, Guangzhou, China

    Jin Li

  3. School of Computer Science and Engineeri, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

  4. Dept. of Informatics, University of Salerno, Fisciano, Italy

    Aniello Castiglione

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© 2016 Springer Science+Business Media Singapore

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Shang, L., Xu, S., Hou, W., Zhou, L. (2016). Research on the Integration of Spatial Data Service Based on Geographic Service. In: Li, K., Li, J., Liu, Y., Castiglione, A. (eds) Computational Intelligence and Intelligent Systems. ISICA 2015. Communications in Computer and Information Science, vol 575. Springer, Singapore. https://doi.org/10.1007/978-981-10-0356-1_33

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  • DOI: https://doi.org/10.1007/978-981-10-0356-1_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0355-4

  • Online ISBN: 978-981-10-0356-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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