Large-scale adoption of alternative agricultural practices is needed to manage farm productivity and resources under global changes. Ecosystem models are a tool for developing and evaluating potential solutions at management and policy scales. However, data collection and compilation often lack documentation that hinders model calibration and testing. The objectives of this study were to describe the current soil datasets and to combine soil property data from various sources that are sufficient to support the use of agricultural models under Korean conditions. Numerous sources provide soil data that describe the farm environment by land cover, such as rice and other field crops. The interquartile range of soil organic carbon was 9.10–14.50 g kg-1 across paddy and non-rice field systems. The results suggest that it is premature to perform site-specific simulations of farming systems due to no direct carbon accounting and hydrological conditions of the soil. Global gridded soil information, such as SoilGrids, may supplement the local data, especially soil organic carbon (the interquartile range of 23.43–36.92 g kg-1). However, the descriptive statistics of soil properties extracted from the datasets were not in agreement. Because the Korean agricultural land is characterized by small size (less than 1 ha) and family operation as a management unit, it is crucial to build datasets more representative of small-size farms and relevant to the new generation of models.

본 연구에서는 피사체의 깊이와 깊이 표현의 상세레벨(detail level)을 각기 다르게 조정한 깊이맵을 이용하여 2D-to-3D 입체변환을 수행하고, 변환된 입체 이미지를 기반으로 시청자 평가 실험을 진행하여 피사체의 절대적 깊이 변화와 배경간의 깊이 차이에 따라 깊이맵의 상세레벨이 깊이감, 볼륨감, 불편감에 미치는 효과를 분석하였다. 주객체의 깊이는 3 레벨로 조정하였고, 또한, 주객체와 배경과의 상대적 깊이 차이도 하나의 독립변인으로 분석하기 위하여 3 레벨로 조정하였다. 깊이맵의 깊이 표현의 상세레벨을 다시 3레벨로 나누어, 이들 조건을 만족하는 18개의 깊이맵을 정의하고 이를 기반으로 실험을 위한 입체영상을 생성하였다. 18개의 입체영상을 실험참가자에게 보여 주고 설문을 통하여 각 영상별로 실험자들이 느끼는 주관적 입체감, 볼륨감, 불편감을 조사하였다. 그 결과 주 피사체의 절대적 위치와 피사체-배경간의 상대적 거리차이가 달라짐에 따라 깊이맵의 상세도가 깊이감, 볼륨감, 불편감에 미치는 영향력이 달라지는 결과를 얻었다. 단색 깊이맵의 경우는 주객체의 절대적 깊이위치에 상관없이 전반적으로 볼륨감을 크게 훼손하고, 스크린의 안쪽에 객체가 위치하는 경우, 다른 상세레벨의 깊이맵에 비해 깊이감도 크게 저하시키는 효과를 보이기 때문에 주객체의 절대적 위치와 상관없이 사용을 피하는 것이 바람직 한 것으로 분석되었다. 또한, 세밀한 깊이맵과 간략한 깊이맵을 적용하였을 때 실험자가 입체감을 크게 다르게 느끼지 못하는 것으로 나타남에 따라 입체변환시 모든 장면에 너무 과도하게 상세한 깊이맵을 구성할 필요가 없는 것으로 분석되었다.

Purpose: This study uses ‘Autoregressive Integrated Moving Average Model’ to predict the impact of a sharp drop in the base rate due to COVID-19 at the present time when government policies for stabilizing house prices are in progress. The purpose of this study is to predict implications for the direction of the government's house policy by predicting changes in house transaction prices and house rental prices after a sharp cut in the base rate. Research design, data, and methodology: The ARIMA intervention model can build a model without additional information with just one time series. Therefore, it is a time-series analysis method frequently used for short-term prediction. After the subprime mortgage, which had shocked since the global financial crisis in April 2007, the bank's interest rate in 2020 is set at a time point close to zero at 0.75%. After that, the model was estimated using the interest rate fluctuations for the Bank of Korea base interest rate, the house transaction price index, and the house rental price index as event variables. Results: In predicting the change in house transaction price due to interest rate intervention, the house transaction price index due to the fall in interest rates was predicted to change after 3 months. As a result, it was 102.47 in April 2020, 102.87 in May 2020, and 103.21 in June 2020. It was expected to rise in the short term. In forecasting the change in house rental price due to interest rate intervention, the house rental price index due to the drop in interest rate was predicted to change after 3 months. As a result, it was 97.76 in April 2020, 97.85 in May 2020, and 97.97 in June 2020. It was expected to rise in the short term. Conclusions: If low interest rates continue to stimulate the contracted economy caused by COVID-19, it seems that there is ample room for house transaction and rental prices to rise amid low growth. Therefore, In order to stabilize the house price due to the low interest rate situation, it is considered that additional measures are needed to suppress speculative demand.