Abstract
Among studies on urban area development, information classification is one of the important aspects. This paper analyzes the current situation and problems on the simulation of urban area development and puts forwards the concept of government information resources for urban area development under the era of big data. After analyzing related research at home and abroad and the specific needs for urban area development simulation, principles and methods suitable for classification of government information resources for urban area development is suggested. Based on the above studies, the classification system of government information resources for urban area development is constructed, which includes urban fundamental geographic information urban thematic information and special information about urban simulation system. Furthermore, the paper discusses its data coding scheme. Finally, an application system based on the above research is developed for simulating distribution of urban land and traffic loads of Wuhan.
References
Lu, D., Fan, J.: The rise and effects of regional sustainable development studies in China. Bull. Chin. Acad. Sci. 27(3), 290–300 (2012)
National Standard of the People’s Republic of China. Government Information Resources Catalog System Part 4: Government Information Resources Classification (GB/T 21063.4-2007) (2007)
He, J., Li, X.: Research on the ontology of geographic information classification and coding. Geogr. Geo-Inf. Sci. 18(3), 1–7 (2002)
He, J., Li, X., Bi, J., et al.: Research on classification and coding of resources and environment information and its association with ontology. Geomatics World 1(5), 6–11 (2003)
Zhang, W.: Information System Integration Technology. Publishing House of Electronics Industry, Beijing (2002). (in Chinese)
Liu, R., Jiang, J.: Research on classification principles and methods for geographic information - a case of classification of fundamental geographic data. Sci. Surv. Mapp. 28(S1), 84–87 (2004)
Wu, S.: Ways for optimizing website information classification and the application. Nanjing Forestry University, Nanjing (2009)
Shunbao, L., Lin, J.: Study on classification system of data for earth system science. Progress Geogr. 24(6), 93–98 (2005)
Chen, Y.: Study of coding system of the urban fundamental geographic information. Urban Geotech. Invest. Surv. 12(1), 15–17 (1997)
Yan, Z.: Standard Guideline of Urban Geographic Information System. Science Press, Beijing (1998). (in Chinese)
National Standard of the People’s Republic of China. Classification and Code of Fundamental Geographic Information Elements (GB/T 13923-2006) (2006)
Zhang, X.: Urban planning opportunity, challenge, and thinking in big data era. Planners 20(8), 38–42 (2014)
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This research has been funded by National Key Technology R&D Program (NO. 2012BAH24B00) and National Natural Science Foundation of China (NO. 51178236).
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Zhou, W., Zhang, S., Shi, H. (2016). Research on Classification and Coding of Government Information Resources for Urban Area Development. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_13
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DOI: https://doi.org/10.1007/978-3-662-49155-3_13
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