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

Yukari Shirota; Diahhadi Setyonaluri

doi:10.1109/IIAI-AAI.2019.00148

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

Yukari Shirota, Diahhadi Setyonaluri

Department of Economics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	716-720
Number of pages	5
ISBN (Electronic)	9781728126272
DOIs	https://doi.org/10.1109/IIAI-AAI.2019.00148
Publication status	Published - Jul 2019
Event	8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019 - Toyama, Japan Duration: 7 Jul 2019 → 11 Jul 2019

Publication series

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

Conference

Conference	8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019
Country/Territory	Japan
City	Toyama
Period	7/07/19 → 11/07/19

Keywords

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

Access to Document

10.1109/IIAI-AAI.2019.00148

Cite this

Shirota, Y., & Setyonaluri, D. (2019). Smart Computing to Gauge Time Series Change of TFR and Average Family Size by Indonesia Provinces. In Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019 (pp. 716-720). [8992704] (Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2019.00148

Shirota, Yukari ; Setyonaluri, Diahhadi. / Smart Computing to Gauge Time Series Change of TFR and Average Family Size by Indonesia Provinces. Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 716-720 (Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019).

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

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.",

keywords = "Affine/non-Affine transformation, fertility issue, fertility rate, partial warp eigenvector, statistical shape analysis",

author = "Yukari Shirota and Diahhadi Setyonaluri",

year = "2019",

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series = "Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019",

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pages = "716--720",

booktitle = "Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019",

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note = "8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019 ; Conference date: 07-07-2019 Through 11-07-2019",

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Shirota, Y & Setyonaluri, D 2019, Smart Computing to Gauge Time Series Change of TFR and Average Family Size by Indonesia Provinces. in Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019., 8992704, Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019, Institute of Electrical and Electronics Engineers Inc., pp. 716-720, 8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019, Toyama, Japan, 7/07/19. https://doi.org/10.1109/IIAI-AAI.2019.00148

Smart Computing to Gauge Time Series Change of TFR and Average Family Size by Indonesia Provinces. / Shirota, Yukari; Setyonaluri, Diahhadi.

Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 716-720 8992704 (Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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KW - partial warp eigenvector

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Shirota Y, Setyonaluri D. Smart Computing to Gauge Time Series Change of TFR and Average Family Size by Indonesia Provinces. In Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 716-720. 8992704. (Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019). doi: 10.1109/IIAI-AAI.2019.00148

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

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