Abstract
In recent years the propagating update of multi-represented datasets has become a crucial issue for maintaining geographic data, especially since National Spatial Data Infrastructure (NSDI) appeared. The key to propagating update is building the mappings between the datasets. Usually the traditional approaches of building the mappings don’t consider the attributive similarity and often use object IDs to build the mappings which may differ with the variation of data storage. Accordingly, a comprehensive similarity computing method is proposed and unified geographic entity code (UGEC) is put forwards to build the mappings in this chapter. A workflow of propagating update, which mainly consists of data preprocessing, changes detecting, changes extracting, master dataset updating, and target dataset updating, is presented on the basis of objects mappings. An experiment on implementation of this method demonstrates its viability at the end.
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References
Al-Bakri M, Fairbairn D (2012) Assessing similarity matching for possible integration of feature classifications of geospatial data from official and informal sources. Int J Geogr Inf Sci 26(8):1–20
Belussi A, Catania B, Podesta P (2005) Towards topological consistency and similarity of multiresolution geographical maps. In: Proceedings of the 13th annual ACM international workshop on Geographic information systems, pp 220–229
Fritsch D (1999) GIS data revision-visions and reality: keynote speech in joint ISPRS commission workshop on dynamic and multi-dimensional GIS. NGCC, Bejing
Frontiera P, Larson R, Radke J (2008) A comparison of geometric approaches to assessing spatial similarity for GIR. Int J Geogr Inf Sci 22(3):337–360
Fu ZL, Wu JH (2008) Entity matching in vector spatial data. Vol. XXXVII. Part B4, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Bejing, pp 1467–1472
Harrie L, Hellström AK (1999a) A case study of propagating updates between cartographic data sets. In: Proceedings of the 19th International Cartographic Conference of the ICA, Ottawa, Canada
Harrie L, Hellström AK (1999b) A prototype system for propagating updates between cartographic data sets. Cartogr J 36(2):133–140
Haunert JH, Sester M (2005) Propagating updates between linked datasets of different scales. In: Proceedings of XXII international cartographic conference (ICC 2005), pp 11–16
Holt A (1999) Spatial similarity and GIS: the grouping of spatial kinds. In: 11th annual colloquium of the spatial information research center (SIRC05), pp 241–250
Holt A, Benwell GL (1997) Using spatial similarity for exploratory spatial data analysis: some directions. In: Proceedings of the 13th annual ACM international workshop on geographic information systems, pp 279–288
Kang HK, Moon JW, Li KJ (2004) Data update across multi-scale databases. In: Proceedings of the 12th international conference on geoinformatics, pp 749–756
Kieler B, Huang W, Haunert JH, Jiang J (2009) Matching river datasets of different scales. In: Sester M, Bernard L, Paelke V (eds) Advances in GIScience. Springer, Berlin, pp 135–154
Li B, Fonseca F (2006) Tdd: a comprehensive model for qualitative spatial similarity assessment. Spatial Cogn Comput 6(1):31–62
Li L, Goodchild MF (2010) Automatically and accurately matching objects in geospatial datasets. In: Proceedings of theory, data handling and modelling in geospatial information science, Hong Kong, pp 26–28
Li L, Goodchild MF (2011) An optimisation model for linear feature matching in geographical data conflation. Int J Image Data Fusion 2(4):309–328
Li F, Zhou KB, Feng S (2005) A similarity calculation strategy based on the statistic of case feature. J Huazhong Univ Sci Tech (Nat Sci Ed) 33(6):80–82
Qi HB, Li ZL, Chen J (2010) Automated change detection for updating settlements at smaller-scale maps from updated larger-scale maps. J Spatial Sci 55(1):133–146
Rainsford D, Mackaness W (2002) Template matching in support of generalisation of rural buildings. In: Advances in spatial data handling. In: Proceedings 10th international symposium on spatial data handling, pp 137–151
Samal A, Seth S, Cueto K (2004) A feature-based approach to conflation of geospatial sources. Int J Geogr Inf Sci 18(5):459–489
Sheeren D, Mustière S, Zucker JD (2009) A data-mining approach for assessing consistency between multiple representations in spatial databases. Int J Geogr Inf Sci 23(8):961–992
Tversky A (1977) Features of similarity. Psychol Rev 84(4):327–352
Volz S (2006) An iterative approach for matching multiple representations of street data, pp 101–110
Walter V, Fritsch D (1999) Matching spatial data sets: a statistical approach. Int J Geogr Inf Sci 5(13):445–473
Wang YH, Wei FY (2008) A schema-matching-based approach to propagating updates between heterogeneous spatial databases 714605-1-10
Acknowledgments
This research was supported by “the Fundamental Research Funds for the Central Universities (Grant No. 201120502020005)” and “the National Natural Science Foundation of China (Grant No. 41271455/D0108)”.
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Wang, Y., Du, Q., Ren, F., Zhao, Z. (2014). A Propagating Update Method of Multi-Represented Vector Map Data Based on Spatial Objective Similarity and Unified Geographic Entity Code. In: Buchroithner, M., Prechtel, N., Burghardt, D. (eds) Cartography from Pole to Pole. Lecture Notes in Geoinformation and Cartography(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32618-9_10
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DOI: https://doi.org/10.1007/978-3-642-32618-9_10
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