Smart Computing to Gauge Time Series Change of TFR and Average Family Size by Indonesia Provinces

Yukari Shirota, Diahhadi Setyonaluri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

A new smart time series data analysis method, the statistical shape analysis is presented. The method was originally developed for image analysis in biology. However, the analysis power can also be used in social science and economics. The advantage is to extract separately Affine transformation part and non-Affine one from the shape deformation. The Affine transformation shows the whole trend of the data change. The non-Affine one shows local movements, compared to others. In the paper, we shall visualize the analysis results using the TFR and family average size data of Indonesia provinces.

Original languageEnglish
Title of host publicationProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages716-720
Number of pages5
ISBN (Electronic)9781728126272
DOIs
Publication statusPublished - Jul 2019
Event8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019 - Toyama, Japan
Duration: 7 Jul 201911 Jul 2019

Publication series

NameProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019

Conference

Conference8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019
CountryJapan
CityToyama
Period7/07/1911/07/19

Keywords

  • Affine/non-Affine transformation
  • fertility issue
  • fertility rate
  • partial warp eigenvector
  • statistical shape analysis

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