Skip to Main content Skip to Navigation
Conference papers

Research on the Method of Feature-Based Multi-scale Vector Data Model

Abstract : Multi-scale representation of spatial data is a research focus in GIS, while building multi-scale data model is a key to implementing multi-scale representation of vector data. In view of the shortcomings of existing multi-scale data model in geographical cognition and special analysis, this paper puts forward a method of feature-based, and studies on it qualitatively from definition, description and extraction. Compared to conventional single-scale E-R model, in this paper, the key strategies of building multi-scale conceptual model are put forward. Deeply study and analysis are applied on abstraction and expression of multiple geometric characteristics, of multi-attribution, and of semantic relation among different scales,and the design of feature-based multi-scale conceptual model is realized. Finally, the object-oriented multi-scale logic model is researched, which lays a theoretical foundation for building the feature-based multi-scale vector data model.
Document type :
Conference papers
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download

https://hal.inria.fr/hal-01348242
Contributor : Hal Ifip <>
Submitted on : Friday, July 22, 2016 - 3:53:50 PM
Last modification on : Friday, July 22, 2016 - 4:04:39 PM
Long-term archiving on: : Sunday, October 23, 2016 - 1:21:55 PM

File

978-3-642-36137-1_34_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Yibing Dong, Jianyu Yang, Chao Zhang, Dehai Zhu, Xingyue Tu, et al.. Research on the Method of Feature-Based Multi-scale Vector Data Model. 6th Computer and Computing Technologies in Agriculture (CCTA), Oct 2012, Zhangjiajie, China. pp.280-289, ⟨10.1007/978-3-642-36137-1_34⟩. ⟨hal-01348242⟩

Share

Metrics

Record views

146

Files downloads

195