TY - JOUR
T1 - Visualization of Time Series Data by Statistical Shape Analysis on Fertility Rate and Education in Indonesia
AU - Shirota, Yukari
AU - Presekal, Alfan
AU - Sari, Riri Fitri
N1 - Funding Information:
The research was partly supported by funds from the Gakushuin University Research Institute for Economics and Management as the research project in 2018.
Publisher Copyright:
© 2019 J. Adv. Inf. Technol.
PY - 2019/5
Y1 - 2019/5
N2 - Visualization is very effective when we analyze the time series data. In the paper, we shall illustrate change of the whole trend on time series data as shapes, as well as local changes. The method we used is the statistical shape analysis which can extract separately the Affine and non-Affine transformation parts from the time change deformation. The method is helpful to see a local movement of each landmark data, compared to other neighbors. In the paper, we shall conduct the Indonesia province comparison, concerning the total fertility rate and the education status between 2007 and 2012. From the visualization, we can easily understand the time series changes.
AB - Visualization is very effective when we analyze the time series data. In the paper, we shall illustrate change of the whole trend on time series data as shapes, as well as local changes. The method we used is the statistical shape analysis which can extract separately the Affine and non-Affine transformation parts from the time change deformation. The method is helpful to see a local movement of each landmark data, compared to other neighbors. In the paper, we shall conduct the Indonesia province comparison, concerning the total fertility rate and the education status between 2007 and 2012. From the visualization, we can easily understand the time series changes.
KW - Affine/non-Affine transformation
KW - education level
KW - fertility rates
KW - partial warp eigenvectors
KW - statistical shape analysis
UR - http://www.scopus.com/inward/record.url?scp=85080928346&partnerID=8YFLogxK
U2 - 10.12720/jait.10.2.60-65
DO - 10.12720/jait.10.2.60-65
M3 - Article
AN - SCOPUS:85080928346
SN - 1798-2340
VL - 10
SP - 60
EP - 65
JO - Journal of Advances in Information Technology
JF - Journal of Advances in Information Technology
IS - 2
ER -