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Ali Mansourian

Ali Mansourian

Professor

Ali Mansourian

Design and development of an integrated approach for on-demand production of road network map

Author

  • Behnam Tashayo
  • Ali Mansourian
  • Mohammad Sadi Mesgari

Summary, in English

The majority of spatial data users are inexperienced in spatial information science. This group of users cannot analyze spatial data and produce the required information. Therefore, the availability of mechanisms and applications for automatic and interoperable spatial data processing and information extraction is necessary. Generalization is one of the main geoprocesses, which is widely used. The current generalization algorithms using in web-based processes are controlled by users. Due to the importance of road network maps, in this study we propose a new scale-driven algorithm, which extracts pattern information of road networks and by considering geometrical, topological, semantic, statistical and structural characteristics of road networks, controls generalization process automatically. The algorithm's operation is similar to a set of model and cartographic generalization operators. A prototype service-oriented application is developed as well. The application consists of three types of services. This classification of services improves flexibility and semantic interoperability of the application. In addition, OGC standards (WPS and WFS ) are utilized to establish syntactic interoperability. We have used two methods of service chaining to coordinate services. The paper explains how various chains of the services satisfy requirements of various users using a case study.

Publishing year

2011

Language

English

Pages

355-365

Publication/Series

International Review on Computers and Software

Volume

6

Issue

3

Document type

Journal article

Publisher

Praise Worthy Prize

Topic

  • Physical Geography

Keywords

  • Generalization
  • Integrated algorithm
  • Pattern analysis
  • Road network
  • Service-Oriented architecture

Status

Published

ISBN/ISSN/Other

  • ISSN: 1828-6003