The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Spatial and Topological Data Models
|
|
Author(s): Ying Deng (University of Nebraska-Lincoln, USA)and Paeter Revesz (University of Nebraska-Lincoln, USA)
Copyright: 2001
Pages: 23
Source title:
Information Modeling in the New Millennium
Source Author(s)/Editor(s): Matti Rossi (Helsinki School of Economics, Finland)and Keng Siau (City University of Hong Kong, Hong Kong SAR)
DOI: 10.4018/978-1-878289-77-3.ch018
Purchase
|
Abstract
Spatial and topological data models are increasingly important in business applications such as urban development planning, transportation and traffic control, decision support in agriculture, pollution and environment analysis, fire and flood prevention, etc. that require handling spatial and topological data more efficiently and more effectively than older models, for example the relational data model. In this survey we compare several alternative spatial and topological data models: the Spaghetti Data Model, the Vague Region Data Model, the Topological Data Model, Worboys’ Spatiotemporal Data Model and the Constraint Data Model. We first describe how spatial and/or topological data are represented and give examples for each data model. We also illustrate by examples the use of an appropriate query language for each data model.
Related Content
|
Tereza Raquel Merlo, Nayana Madali M. Pampapura, Jason M. Merlo.
© 2024.
14 pages.
|
|
Kris Swen Helge.
© 2024.
9 pages.
|
|
Ahmad Tasnim Siddiqui, Gulshaira Banu Jahangeer, Amjath Fareeth Basha.
© 2024.
12 pages.
|
|
Jennie Lee Khun.
© 2024.
19 pages.
|
|
Tereza Raquel Merlo.
© 2024.
19 pages.
|
|
Akash Bag, Paridhi Sharma, Pranjal Khare, Souvik Roy.
© 2024.
31 pages.
|
|
Akash Bag, Upasana Khattri, Aditya Agrawal, Souvik Roy.
© 2024.
28 pages.
|
|
|