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

Hajime Seya, Morito Tsutsumi, Yasushi Yoshida, Yuichiro Kawaguchi

Research output: Contribution to journalConference article

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)120-129
Number of pages10
JournalProcedia - Social and Behavioral Sciences
Volume21
DOIs
Publication statusPublished - 2011 Jan 1
EventInternational Conference on Spatial Thinking and Geographic Information Sciences 2011, STGIS 2011 - Tokyo, Japan
Duration: 2011 Sep 142011 Sep 16

Keywords

  • Apartment rent
  • Geoadditive model
  • Nonlinearity
  • Spatial hedonic model
  • Spatial prediction

ASJC Scopus subject areas

  • Social Sciences(all)
  • Psychology(all)

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