The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Petter

Petter Pilesjö

Researcher

Petter

Investigating an Agent Based Modelling approach for SDI planning: A case study of Tanzania NSDI development

Author

  • Alex Lubida
  • MOHAMMADREZA RAJABI GURANDANI
  • Petter Pilesjö
  • A Mansourian

Summary, in English

Spatial Data Infrastructure (SDI) provides a platform for spatial data sharing and is a key for sustainable development. Developing countries, including Tanzania, are at different stages of implementing SDIs. The importance and advantage of implementation lie in the fact that considerable funds can be saved by avoiding duplication of data, and improving quality of decisions making as well as public services. However, SDI is very complex in nature, including many influencing factors and different stakeholders. This paper investigates the possibilities of using Agent-Based Modelling (ABM) for simulating an SDI development process in Tanzania, for better understanding and making better planning. The roles and actions of organizations were identified through interviews, and the results were analysed. The behaviour of individual organizations (stakeholders) while interacting with the system were observed and analysed. The growth results in terms of data availability, standards, and data sharing for each organization were plotted and priority tables were generated. The model was evaluated for consistency and the results were judged to be within a reasonable range. The ABM simulation depicted the main attributes of agents, their roles and their interactions while pursuing SDI development in Tanzania. The results will help SDI planners and stakeholders to understand the roles of partners and prioritize activities and actions for successful SDI implementation.

Department/s

  • Dept of Physical Geography and Ecosystem Science
  • MECW: The Middle East in the Contemporary World
  • BECC: Biodiversity and Ecosystem services in a Changing Climate
  • Centre for Geographical Information Systems (GIS Centre)
  • Centre for Advanced Middle Eastern Studies (CMES)

Publishing year

2020

Language

English

Pages

198-218

Publication/Series

South African Journal of Geomatics

Volume

9

Issue

2

Document type

Journal article

Topic

  • Computer Science
  • Earth and Related Environmental Sciences

Keywords

  • spatial data infrastructure (SDI)
  • Agent-based modeling (ABM)
  • Simulation
  • SDI Planning
  • Tanzania
  • Artificial Intelligence (AI)

Status

Published

ISBN/ISSN/Other

  • ISSN: 2225-8531