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- W2910347049 abstract "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." @default.
- W2910347049 created "2019-01-25" @default.
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- W2910347049 date "2018-12-30" @default.
- W2910347049 modified "2023-09-27" @default.
- W2910347049 title "Leveraging Computer-Based Forecasting Techniques for Effective Geographic Information Management" @default.
- W2910347049 doi "https://doi.org/10.23956/ijarcsse.v8i12.927" @default.
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