Empirical comparison of the various spatial prediction models: In spatial econometrics, spatial statistics, and semiparametric statistics

Hajime Seya*, Morito Tsutsumi, Yasushi Yoshida, Yuichiro Kawaguchi

*この研究の対応する著者

研究成果: Conference article査読

9 被引用数 (Scopus)

抄録

This study compares the performance of various spatial prediction models which consider spatial dependence among the real estate data in spatial econometrics, spatial statistics, and semiparametric statistics. Thus far, surprisingly few researches have been conducted from this perspective. This study employs the dataset of apartment rent in the Tokyo 23 wards for empirical comparison. This study in particular focuses on a geoadditive model which considers both spatial dependence and nonlinearity of a hedonic function, and suggests the predictive performance of this method superior to those of the traditional methods like kriging or EM type algorithm.

本文言語English
ページ(範囲)120-129
ページ数10
ジャーナルProcedia - Social and Behavioral Sciences
21
DOI
出版ステータスPublished - 2011
イベントInternational Conference on Spatial Thinking and Geographic Information Sciences 2011, STGIS 2011 - Tokyo, Japan
継続期間: 2011 9月 142011 9月 16

ASJC Scopus subject areas

  • 社会科学(全般)
  • 心理学(全般)

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