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Land Use Classification Using LBSN (Location-Based Social Network) Data and Machine Learning Technique

  • Journal of the Korean Cartographic Association
  • Abbr : JKCA
  • 2017, 17(3), pp.59-67
  • Publisher : The Korean Cartographic Association
  • Research Area : Social Science > Geography > Geography in general > Cartography
  • Published : December 31, 2017

Hong Il Young 1

1남서울대학교

Accredited

ABSTRACT

Recently, machine learning is an analytical method for big data, and interest is increasing as an intelligent problem solving method through learning. In this paper, we tried to analyze land use status using LBSN data and machine learning method. The identification of land use status in urban planning has relied on direct field surveys. Recently, the data of location - based social media emerging as users of smartphone are big data reflecting the situation of land use, and machine learning methodology enables automated analysis of these. In this study, a model for predicting land use was developed using LBSN data and machine learning technique and compared with actual land use data. Through this analysis, an automated analysis method of land use status using LBSN data was studied.

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