Development of Iterative Multiplier Method for Information Estimation Depending on Regional Dimensions

Kiyama Shoichi




Environmental system modelling covers social, economic, engineering aspects in various regional dimensions. Therefore, it is important subject to estimate state quantities in the specific region scale from state quantities which has been already prepared as statistical data in a different regional scale. Especially, the information estimation in a small region is difficult due to the existence of confidential data. The purpose of this study, an extended multiplier method is developed to estimate economic quantities in a small region from limited public statistical information. The applicability of the proposed estimation method, the iterative multiplied method, is investigated compared with the RAS method. Finally, performing spatial analysis, the estimation result by proposed method is verified.

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