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Entry ID KPDC_2019_0001
Entry Title Data for observation and prediction to model responses of Antarctic pearlwort (남극개미자리 모델링을 위한 관측치와 예측치 원시 데이터)
Abstract In order to model the distribution and physiological response of Antarctic pearlwort, we obtained 1,150 data points (Po, average 96.7) of distributions and physiological response observations in the vicinity of Sejong Station, King George Island, Antarctica in 2016. In addition, we obtained 1,150 data points (Pe, average 133.1) of expected values made from modeling equation for this species. With these data, the prediction accuracy of the model acquired in 2017 was 72.6%.
남극개미자리의 분포와 생리반응 모델링을 위해 2016년 남극 킹조지섬 세종기지 부근에 분포하는 남극개미자리 분포와 생리반응 관측치 1150건 확보(Po, 평균값 96.7), 이들의 시뮬레이션을 통한 예측치 1150건 확보(Pe, 평균값 133.1). 이들 데이터를 활용하여 2017년 확보한 모델의 예측 정확도는 72.6%.

Science Keyword
  • Biological Classification > Plants > Angiosperms (flowering Plants) > Dicots
ISO Topic Category
  • Environment
  • Lee, Hyoungseok (Email:
      • King Sejong Station
      Spatial Coverage
      • (Lat: 62°13’13”S, Lon: 58°46’18”W)
      Temporal Coverage
      • 2016-01-01 ~ 2017-12-31
      • [PE17090] Modeling responses of terrestrial organisms to environmental changes on King George Island (Leader: Soon Gyu Hong)
      Create/Update Date Thursday, January 3, 2019
      Author Lee, Hyoungseok (Email:
      Data Center Korea Polar Data Center (KPDC)
      Contact Point, more information

      Korea Polar Data Center

      Korea Polar Research Institute

      26, Songdomirae-ro, Yeonsu-gu, Incheon, Korea