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Typical Classification of Rural Area Considering Settlement Environment by Decision Tree Method

정주여건을 고려한 의사결정나무기법 활용 농촌지역 유형화

  • Bae, Seung-Jong (Institute of Green Bio Science and Technology, Seoul National University) ;
  • Kim, Dae-Sik (Department of Agricultural Engineering, College of Agricultural & Life Sciences, Chungnam National University) ;
  • Eun, Sang-Kyu (Institute of Green Bio Science and Technology, Seoul National University)
  • Received : 2016.09.26
  • Accepted : 2016.10.24
  • Published : 2016.11.30

Abstract

The objective of this study is to classify the types of rural areas (138 $si{\cdot}gun$) considering settlement environment by Decision Tree Method (CHAID). The CHAID method was used for decision tree algorithm and the seven dependant variables and 5 explanatory variables were selected, respectively. By decision tree method, rural areas were finally classified into six groups through three separate processes. City area, lower area in aging rate and higher area in farmland area ratio was analyzed to be relatively rich rather than other area in the case of settlement environment index. In the future, this study will be able to utilize as a reference to the planning of rural development projects.

Keywords

References

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