Cartographica sinica
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Point Features Thinning Methods Based on ARCGIS (J). A Real-Time Generalization and Multi-Scale Visualization Method for POI Data in Volunteered Geographic Information (J). Engineering of Surveying and Mapping, 2014, 23(7):6-11. Ying Shen, Chen Guiqiu, Cao Xiaohang.POI Selection with the Reference of Linear Roads in Multi-scale Maps (J).
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Nanjing: Nanjing Normal University, 2012. Dynamic Generalization Methods of POI for the Representation of Mobile Map (D). Study on Parallel Computing Methods of POI Simplification (D). Retail Center Recognition and Spatial Aggregating Feature Analysis of Retail Formats in Guangzhou Based on POI Data (J). Network Kernel Density Estimation for the Analysis of Facility POI Hotspots (J). Extracting Hierarchical Landmarks from Urban POI Data (J). A Novel Method for Identifying the Boundary of Urban Built-Up Areas with POI Data (J). Geomatics and Information Science of Wuhan University, 2008, 33(9):896-899. Application of Rough Set Idea to Points Object GIS Generalization (J). ĝeng Hongyan, Wu Fang, Qian Haizhong.A Model of Point Cluster Selection Based on Genetic Algorithms (J). Geomatics and Information Science of Wuhan University, 2007, 32 (7):626-629. Points Group Generalization Based on Kohonen Net (J). A Generic Algorithm for Point Cluster Generalization Based on Voronoi Diagrams (J). Ěi Tinghua, Liu Yaolin, A Method of Point Cluster Simplification With Spatial Distribution Properties Preserved (J). Experimental results showed that the method taking into account both attribute information and spatial distribution characteristics of POI can better implement urban POI generalization in the mapping presentation.ĭigital Object Identifier (DOI): doi.org/10.5281/zenodo.1340200 Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF On this basis, an urban POI generalizing strategy has been put forward: POIs urban road network have been divided into three distribution pattern corresponding generalization methods have been proposed according to the characteristic of POI data in different distribution patterns. Hierarchical characteristic of urban POI information expression has been firstly analyzed to point out the measurement feature of the corresponding hierarchy. Without taking account of the attribute richness of POI (point of interest) data and spatial distribution limited by roads, a POI generalization method considering both attribute information and spatial distribution has been proposed against the existing point generalization algorithm merely focusing on overall information of point groups.