Research on Spatial Database Building Method Based on ArcGIS for AutoCAD
Hui Zheng, Yanmin Liu, Xiaokang Ma, Junfei Ke
Abstract
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Hui Zheng, Yanmin Liu, Xiaokang Ma, Junfei Ke
Abstract
Open-access reader
Abstract Dwg file was widely used as the output file format of the surveying and mapping project produces at present. With the project amount of surveying and mapping increasing, it is necessary to establish a spatial database to scientific and unified manage various surveying and mapping thematic data results. When creating the spatial data based on the dwg file, the graphic information in dwg is extracted, and the attribute information corresponding to the graphic needs to be supplemented at the same time. This paper proposes a method of building spatial data based on ArcGIS for AutoCAD plug-in. This method can realize the unified management of graphics and attributes in CAD environment. Spatial and attribute information contained in the dwg file can be extracted quickly and accurately base on secondary development with ArcEngine, and the application value of the dwg file in the field of surveying and mapping was improved greatly.
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Abstract Dwg file was widely used as the output file format of the surveying and mapping project produces at present. With the project amount of surveying and mapping increasing, it is necessary to establish a spatial database to scientific and unified manage various surveying and mapping thematic data results. When creating the spatial data based on the dwg file, the graphic information in dwg is extracted, and the attribute information corresponding to the graphic needs to be supplemented at the same time. This paper proposes a method of building spatial data based on ArcGIS for AutoCAD plug-in. This method can realize the unified management of graphics and attributes in CAD environment. Spatial and attribute information contained in the dwg file can be extracted quickly and accurately base on secondary development with ArcEngine, and the application value of the dwg file in the field of surveying and mapping was improved greatly.
Key concepts: Computer science, Graphics, Database, Thematic map, Spatial analysis, Field (mathematics), Spatial database, Information retrieval