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Methodology of Spatio-temporal Matching for Constructing an Analysis Database Based on Different Types of Public Data

  • Jung, In taek (Korea Institute of Civil Engineering and Building Technology) ;
  • Chong, Kyu soo (Korea Institute of Civil Engineering and Building Technology)
  • 투고 : 2016.11.28
  • 심사 : 2017.04.30
  • 발행 : 2017.04.30

초록

This study aimed to construct an integrated database using the same spatio-temporal unit by employing various public-data types with different real-time information provision cycles and spatial units. Towards this end, three temporal interpolation methods (piecewise constant interpolation, linear interpolation, nonlinear interpolation) and a spatial matching method by district boundaries was proposed. The case study revealed that the linear interpolation is an excellent method, and the spatial matching method also showed good results. It is hoped that various prediction models and data analysis methods will be developed in the future using different types of data in the analysis database.

키워드

참고문헌

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피인용 문헌

  1. 주택건설 사업계획 수립을 위한 공사 예정지의 DEM 구축 및 공간분석 vol.22, pp.1, 2017, https://doi.org/10.5762/kais.2021.22.1.621