Visualization of Time Series Data Change on Fertility Rate and Education in Indonesia Provinces

Yukari Shirota, Alfan Presekal, Riri Fitri Sari

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

1 Citation (Scopus)

Abstract

A new visualization method of time series data change, a statistical shape analysis method, is presented. The shape analysis method was originally developed for image analyses in biology. However the analysis power can also be used in economics and socio-science, and the visualization is effective to understand the changes. The statistical shape analysis method has a feature to extract separately an Affine transformation part and a non-Affine one. The Affine transformation shows the total trend of all the data and the non-Affine one shows a local movement of one landmark which is specific to the landmark. To see the both, we can visually understand changes among the time series data. In this paper, we will present the visualization using Indonesia data on fertility rate and education status between the year 2007 and 2012.

Original languageEnglish
Title of host publication5th International Conference on Information Management, ICIM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages54-59
Number of pages6
ISBN (Electronic)9781728134307
DOIs
Publication statusPublished - 14 May 2019
Event5th International Conference on Information Management, ICIM 2019 - Cambridge, United Kingdom
Duration: 24 Mar 201927 Mar 2019

Publication series

Name5th International Conference on Information Management, ICIM 2019

Conference

Conference5th International Conference on Information Management, ICIM 2019
Country/TerritoryUnited Kingdom
CityCambridge
Period24/03/1927/03/19

Keywords

  • Affine/non-Affine transformation
  • Education level
  • Fertility rates
  • Partial warp eigenvectors
  • Statistical shape analysis

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