Leveraging Computer-Based Forecasting Techniques for Effective Geographic Information Management

ONU .F.U., OHIRI Thaddeus, MMEAH Shedrack, BAAH Barida


Research from developed and highly industrialized nations of the world have proved that lack of reliable and accurate data and information has been the bane of Africa’s, Nigeria in particular, socio-economic and political development. Ideally geographic data or information like population figures is usually a statistical index for wealth distribution, proper economic management and governance which translates into a holistic development. Nigeria in this vane or regard, from time immemorial have not presented any population figure that is not a product of a headcount process or census. The census process had been and is still dependent on, even in this digital age or economy, one hundred percent manual methods. Furthermore their methods of data collection  during the census exercises is still based on observations, interviews, JAD Sessions, questionnaires and document analysis. These requirements (data) elicitation techniques have their little strengths and major weaknesses especially in a developing country like Nigeria. Hence total reliance on them is not advisable.  Real-time population data will now be generated using Verhulst techniques in this process. Temperature which regulates weather conditions are also very important geographic components. Adequate and reliable weather statistics have to be generated through forecasts using wave models. The work aim is to provide a blueprint for the software development process, using some methods that are embedded in a typical system development life circle (SDLC)- The outcome is  Management Information System (MIS) called NGIS (a type of Decision Support System). NGIS means Nigerian Geographic Information System. It will impact positively on Nigeria’s socio-political and economic developments.

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Onu Fergus Uchenna (Ph.D) and Ohiri, Thaddeus, (2016) “Enhancing cutting-age processing system using OOP, with emphasis on industrial simulators “http://ijrsp.org index.php/current issue. India

Ojekudo, Nathaniel Akpofure (Ph.D)and Ohiri Thaddeus. Vol.8 No.1,(April 2014).ISSN:1786-7711. “Design and Development of a network (wireless/Guided) Transmission Protocol (Model).” Siren Research centre for African Universities www.sirenjournals.com. Nigeria.

Y. Daniel Liang (2006), Introduction to Java Programming, 8th Edition

Coleman, D.Arnold P., Bodoff, S., Dollin C., Gilchrist H., Hayes, F. and Jeremae P., (1994) Object –Oriented Development: The Fusion Method, Prentice-Hell, Inc Englewood Cliffs NJ.

Chellappa R., Philips P.J and Reynolds D., (EDs) (November 2006). Special issues on Biometrics: Algorithms and Application of Fingerprint, Iris, Face Gait and Multimodal Recognition. Proceedings of the IEEE Vol 94 No.11.

Chen, G and Szymanski, B.K (December 2001). “object-oriented Paradigm: Component-oriented Simulation Architecture Toward Interoperability and Inter Changeability,” proceedings of the 2001 Winter Simulation Conference (WSC2001), pp, 49-501, Arlington VA.

Bowerman.O. Cornel. Orris. Porter(2008), Essential of Bussines Statistics 2nd Edition

Erwin Kreyszig ,(2010), Advance engineering Mathematics . Tenth edition

Kenneth C. Landon, JameP. laudon. (2001), Management Information Systems, tenth Edition

DOI: https://doi.org/10.23956/ijarcsse.v8i12.927


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