Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
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Effective Classification Framework Design and Implementation for Rural Regional Information using Principal Component Analysis and Cluster Analysis

주성분 분석 및 군집분석을 이용한 지역정보 유형화 프레임워크의 설계와 구현

  • 서교 (서울대학교 조경.지역시스템공학부, 서울대학교 농업생명과학연구원) ;
  • 김태곤 (서울대학교 생태조경.지역시스템공학부 대학원) ;
  • 이지민 (서울대학교) ;
  • 이정재 (서울대학교 조경.지역시스템공학부, 서울대학교 농업생명과학연구원)
  • Received : 2011.03.22
  • Accepted : 2012.01.09
  • Published : 2012.01.31
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Abstract

For planning and developing rural regions, it is very important to understand and utilize regional characteristics including social, demographic, and economic aspects. The purpose of this study is to find effective analysis techniques and provide a procedure design for mining regional characteristics in South Korea through reviewing and analyzing 41 related studies. The engaged research methods can be classified into five categories (PCA+CA, PCA, CA, GIS, and PCA+GIS) with the combination of three methodologies: principal component analysis (PCA), cluster analysis (CA), and geographical information system (GIS). The combination of PCA and CA occupied about 40 % of research methods used in related studies. The analysis tool of Korean Rural Information Supporting System (KRISS) is designed based on the outcomes of this study and applied to classify the regional capacity of agriculture using agricultural census data (2000) for evaluating its applicability.

Keywords

References

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