{"title":"智能计算衡量印尼各省TFR和平均家庭规模的时间序列变化","authors":"Y. Shirota, Diahhadi Setyonaluri","doi":"10.1109/IIAI-AAI.2019.00148","DOIUrl":null,"url":null,"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.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Smart Computing to Gauge Time Series Change of TFR and Average Family Size by Indonesia Provinces\",\"authors\":\"Y. Shirota, Diahhadi Setyonaluri\",\"doi\":\"10.1109/IIAI-AAI.2019.00148\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":136474,\"journal\":{\"name\":\"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIAI-AAI.2019.00148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI.2019.00148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Smart Computing to Gauge Time Series Change of TFR and Average Family Size by Indonesia Provinces
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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