Logical data modeling for geographical applications

Author

Shaobai, Zhang

Author_Institution

Fac. of Inf. Eng., China Univ. of Geosci., Wuhan, China

Volume

2

fYear

1997

fDate

28-31 Oct 1997

Firstpage

1206

Abstract

A short overview of information systems is followed by an analysis of the generic needs of spatial data of geographic information systems (GIS). It is concluded that GIS are not served satisfactorily by existing data models, so specifications of modeling tools for spatial application design are needed. A formal, yet practical, georelational data model (GRDM) is presented. GRAM provides a set of representational constructs on top of well-established modes. It constitutes part of a full, easily automated application design methodology. It is not only easy to use but also platform-independent

Keywords

geographic information systems; relational databases; spatial data structures; visual databases; GIS; application design methodology; easy of use; geographic information systems; geographical applications; georelational data model; information systems; logical data modeling; modeling tools; platform independent; spatial application design; spatial data; Application software; Context modeling; Data models; Design methodology; Geographic Information Systems; Geology; Information analysis; Information systems; Object oriented modeling; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4253-4

Type

conf

DOI

10.1109/ICIPS.1997.669183

Filename

669183