Comparison of Spatial Prediction in Local and Global Area(Competition 1)

スポンサーリンク

概要

• 論文の詳細を見る

• When we analyze a spatial data, we generally conduct a global spatial analysis. But when spatial correlations are higher in local areas than global areas in analyzing spatial data, we think that local prediction performs better than global prediction in the prediction point of view. The present paper shows whether local prediction outperforms global prediction in the case of high correlation in a local area, based on the AMSE (average mean squared error) statistic. To show the usefulness of the proposed method, we perform a small simulation study and show an empirical example with the real transaction data of apartments in Korea.

• 日本計算機統計学会の論文
• 2011-11-11

著者

• Choi Seungbae

  Department Of Data Information Science Dongeui University

• Kim Sujung

  Department Of Data Information Science Dongeui University

• Moon Sungho

  Department Of Data Management Pusan University Of Foreign Studies

関連論文

• Analysis for a Soccer Game by Social Network Analysis(Competition 1)
• GGH(1) improves visceral fat mass in high fat diet induced obese mice(Session 1b)
• Comparison of Spatial Prediction in Local and Global Area(Competition 1)

スポンサーリンク