Abstract and Applied Analysis

Land Use Patch Generalization Based on Semantic Priority

Jun Yang, Fanqiang Kong, Jianchao Xi, Quansheng Ge, Xueming Li, and Peng Xie

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Land use patch generalization is the key technology to achieve multiscale representation. We research patches and achieve the following. (1) We establish a neighborhood analysis model by taking semantic similarity between features as the prerequisite and accounting for spatial topological relationships, retrieve the most neighboring patches of a feature using the model for data combination, and thus guarantee the area of various land types in patch combination. (2) We establish patch features using nodes at the intersection of separate feature buffers to fill the bridge area to achieve feature aggregation and effectively control nonbridge area deformation during feature aggregation. (3) We simplify the narrow zones by dividing them from the adjacent feature buffer area and then amalgamating them into the surrounding features. This effectively deletes narrow features and meets the area requirements, better generalizes land use features, and guarantees simple and attractive maps with appropriate loads. (4) We simplify the feature sidelines using the Douglas-Peucker algorithm to effectively eliminate nodes having little impact on overall shapes and characteristics. Here, we discuss the model and algorithm process in detail and provide experimental results of the actual data.

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Abstr. Appl. Anal., Volume 2013, Special Issue (2013), Article ID 151520, 8 pages.

First available in Project Euclid: 26 February 2014

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Yang, Jun; Kong, Fanqiang; Xi, Jianchao; Ge, Quansheng; Li, Xueming; Xie, Peng. Land Use Patch Generalization Based on Semantic Priority. Abstr. Appl. Anal. 2013, Special Issue (2013), Article ID 151520, 8 pages. doi:10.1155/2013/151520. https://projecteuclid.org/euclid.aaa/1393449782

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  • Y. Zongbo, “On mapping integration and compiling technique of image maps,” Scientia Geographica Sinica, vol. 8, no. 1, pp. 87–93, 1988.
  • R. Chithambaram, K. Beard, and R. Barrera, “Skeletonizing polygons for map generalization,” Technical Papers ACSM. Baltimore, vol. 2, pp. 44–55, 1991.
  • T. Ai and H. Wu, “Consistency correction of shared boundary between adjacent polygons,” Geomatics and Information Science of Wuhan University, no. 5, pp. 426–442, 2000.
  • T. H. Ai, R. Z. Guo, and X. D. Chen, “Simplification and aggregation of polygon object supported by delaunay triangulation structure,” Journal of Image and Graphics, no. 7, pp. 93–99, 2001.
  • L. Harrie, “Weight-setting and quality assessment in simultaneous graphic generalization,” The Cartographic Journal, vol. 40, no. 3, pp. 221–233, 2003.
  • L. Kulik, M. Duckham, and M. Egenhofer, “Ontology-driven map generalization,” Journal of Visual Languages & Computing, vol. 16, no. 3, pp. 245–267, 2005.
  • R. Zhao, J. Chen, D. Wang, Y. Shang, and T. Ai, “The design and implementation of geo-spatial database updating system based on digital map generalization,” in 2nd International Conference on Space Information Technology, Proceedings of SPIE, Huazhong University of Science and Technology; The Second Academy of China Aerospace Science and Industry Corporation; The National Natural Science Foundation of China; Chinese Academy of Space Technology; China Aerospace Science and Industry Corporation, Wuhan, China, November 2007.
  • J. Li, D. Zhu, X. Song, Y. Chen, and Y. Yang, “A Polygon simplification algorithm with area-balance consideration,” Geography and Geo-Information Science, no. 1, pp. 103–106, 2009.
  • W. Huang, W. Dai, and S. Yu, “Using modified Douglas-Peucher algorithm based on area preservation to simplify polygons,” Science Technology and Engineering, no. 24, pp. 7325–7328, 2009.
  • J. Stoter, D. Burghardt, C. Duchêne et al., “Methodology for evaluating automated map generalization in commercial software,” Computers, Environment and Urban Systems, vol. 33, no. 5, pp. 311–324, 2009.
  • Q. Qiao and T. Zhang, “Automated map generalization in distributed environments,” in Proceedings of International Joint Conference on Computational Sciences and Optimization (CSO '09), pp. 181–183, IEEE Computer Society, Hainan, China, April 2009.
  • A. Dilo, P. van Oosterom, and A. Hofman, “Constrained tGAP for generalization between scales: the case of Dutch topographic data,” Computers, Environment and Urban Systems, vol. 33, no. 5, pp. 388–402, 2009.
  • L. V. Stanislawski, “Feature pruning by upstream drainage area to support automated generalization of the United States National Hydrography Dataset,” Computers, Environment and Urban Systems, vol. 33, no. 5, pp. 325–333, 2009.
  • T. Foerster, L. Lehto, T. Sarjakoski, L. T. Sarjakoski, and J. Stoter, “Map generalization and schema transformation of geospatial data combined in a Web Service context,” Computers, Environment and Urban Systems, vol. 34, no. 1, pp. 79–88, 2010.
  • T. Ai, F. Yang, and J. Li, “Land-use data generalization for the database construction of the second land resource survey,” Geomatics and Information Science of Wuhan University, vol. 35, no. 8, pp. 887–891, 2010.
  • Y. Liu, H. Li, and C. Yang, “Ontology based land use data generalization,” Geomatics and Information Science of Wuhan University, vol. 35, no. 8, pp. 883–886, 2010.
  • Y. Zhu, S. Zhou, and T. Lu, “Rearch on spatial data line generalization algorithm in map generalization,” Journal of Software, vol. 6, no. 2, pp. 241–248, 2011.
  • T. Ai and Y. Liu, “Aggregation and amalgamation in land-use data generalization,” Geomatics and Information Science of Wuhan University, vol. 27, no. 5, p. 486, 2002.
  • J. Weng, Q. Guo, X. Wang, and P. Liu, “An improved algorithm for combination of land-use data,” Geomatics and Information Science of Wunan University, no. 9, pp. 1116–1118, 2012.
  • X. Liu, S. Li, and W. Huang, “Study of Douglas-Peucker algorithm controlling by the goniometry in generalization,” Geomatics & Spatial Information Technology, vol. 29, no. 1, pp. 59–60, 2006.
  • Q. Guo, “Study on progressive approach to graphic generalization of linear feature,” Geomatics and Information Science of Wuhan University, no. 1, pp. 54–58, 1998.
  • H. Z. Qian, F. Wu, B. Chen, J. H. Zhang, and J. Y. Wang, “Simplifying line with oblique dividing curve method,” Acta Geodaetica et Cartographica Sinica, vol. 36, no. 4, pp. 443–456, 2007.