Full feature data model for spatial information network integration

Abstract

In allusion to the difficulty of integrating data with different models in integrating spatial information, the characteristics of raster structure, vector structure and mixed model were analyzed, and a hierarchical vector-raster integrative full feature model was put forward by integrating the advantage of vector and raster model and using the object-oriented method. The data structures of the four basic features, i. e. point, line, surface and solid, were described. An application was analyzed and described, and the characteristics of this model were described. In this model, all objects in the real world are divided into and described as features with hierarchy, and all the data are organized in vector. This model can describe data based on feature, field, network and other models, and avoid the disadvantage of inability to integrate data based on different models and perform spatial analysis on them in spatial information integration.

Keywords

full feature model / spatial information integration / data structure

References

[1] GoodchildM F. Geographical data modeling[J]. Computers and Geosciences, 1992, 18(4): 401-408

[2] AnYang, GuanJi-hong, ChenJun-peng, et al.. A GML-based approach of querying and integrating Web spatial information[J]. Computer Engineering, 2004, 30(9): 23-25(in Chinese)

[3] VangenotC, et al.ChristopheC, WernerW, YahikoK, et al.. A model for Web spatial data integration [C]. Proceedings of the Second International Conference on Web Information Systems Engineering, 2002, Los Alamitos, IEEE Computer Society: 5-13

[4] LiQing-quanResearch on three dimensional GIS data model and spatial analysis based on mixed structure [D], 1998, Wuhan, School of Geo-science and Surveying Engineering, Wuhan Technical University of Surveying and Mapping(in Chinese)

[5] YangShu-qiang, ChenHuo-wang, WangFeng. An unification data model of vector and raster[J]. Journal of Software, 1998, 9(2): 91-96(in Chinese)

[6] TanGuo-xin. Study of integrated spatial data structure and spatial index mechanism[J]. Acta Geodaetica et Cartographica Sinica, 1998, 27(4): 293-299(in Chinese)

[7] GongJian-ya, XiaZong-guo. An integrated data model in three dimensional GIS[J]. Journal of Wuhan Technical University of Surveying and Mapping, 1997, 22(1): 7-15(in Chinese)

[8] GongJian-ya, ChengPeng-gen, WangYan-dong. Three-dimensional modeling and application in geological exploration engineering[J]. Computers and Geosciences, 2004, 30(4): 391-404

[9] GaheganM, EhlersM. A framework for the modeling of uncertainty between remote sensing and geographic information systems[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2000, 55(3): 176-188

[10] CrossV, FiratA. Fuzzy objects for geographical information systems [J]. Fuzzy Sets and Systems, 2000, 113(1): 19-36

[11] MennisJ L. Derivation and implementation of a semantic GIS data model informed by principles of cognition[J]. Computers, Environment and Urban Systems, 2003, 27(5): 455-479

[12] ZlatanovaS, RahmanA A, ShiWen-zhong. Topological models and frameworks for 3D spatial objects [J]. Computers and Geosciences, 2004, 30(4): 419-428

[13] ChiZhong-xian, WangZhan-chang, WangRei-wei, et al.. Research on using spatial object model to integrate data on Web [J]. Mini-micro Systems, 2002, 23(10): 1185-1188(in Chinese)

[14] ZhangShan-shan, BianFu-ling. Object-oriented three-leveled spatiotemporal data model[J]. Computer Applications, 2003, 23(11): 29-32(in Chinese)

[15] RenJia-dong, GaoWei, RenDong-ying. Research and design of spatio-temporal data model[J]. Computer Engineering, 2003, 29(22): 114-116(in Chinese)

[16] CovaT J, GoodchildM F. Extending geographical representation to include fields of spatial objects[J]. International Journal of Geographical Information Science, 2002, 16(6): 509-532

[17] GaltonA. Fields and objects in space, time, and space-time[J]. Spatial Cognition and Computation, 2004, 4(1): 1-29