A General Geo-spatial Multi-scale Conceptual Model for Automatic Generalization

Author

Yang, Yaoming ; Tang, Xiaoan ; Gan, Zhe ; Haiyan Jiang

Author_Institution

Electron. Sci. & Eng. Coll., Nat. Univ. of Defense Technol., Changsha, China

Volume

2

fYear

2009

fDate

4-5 July 2009

Firstpage

433

Lastpage

437

Abstract

With the development of GIS, it is in great need of integration of multi-source heterogeneous spatial data at different scales. Most of the existing scale generalization algorithms aim at particular types of geo-spatial objects, which are short of versatility. Based on the functional classification and the definition of multi-scale generalization operators, a general multi-scale conceptual model is proposed for various geo-spatial elements, which is expressed in the form of data-operator-relation triple. A corresponding Agent model and a processing flow are also designed for automatic generalization. Through an example, the conceptual model is verified to be adaptive for different kinds of geo-spatial elements. And the Agent-based multi-scale generalization method is effective and fully automatic.

Keywords

data handling; geographic information systems; multi-agent systems; GIS; agent-based multiscale generalization method; automatic generalization; functional classification; general geo-spatial multiscale conceptual model; multisource heterogeneous spatial data; processing flow; scale generalization algorithms; Algorithm design and analysis; Data engineering; Delay; Educational institutions; Gallium nitride; Geographic Information Systems; Graphics; Logistics; Solid modeling; Spatial databases; Agent; automatic generalization; multi-scale;

fLanguage

English

Publisher

ieee

Conference_Titel

Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3682-8

Type

conf

DOI

10.1109/ESIAT.2009.480

Filename

5199925