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손학기,이창로 국토연구원 2016 국토연구 Vol.89 No.-
This study estimates farmland prices in Kimje City and analyzes the result empirically. Previous studies tend to utilize the income approach more often than not, which has limits in reflecting site-specific characteristics. Thus, we employ the market approach instead. The input data are prices of standard lots estimated by property valuation experts. We apply the market approach to the data and make the first use of the regression-kriging model which has advantage of dealing with both attribute and location information of farmland. When inspecting the model performance based on the test data, we confirmed that the price accuracy from the regression-kriging model was improved substantially compared with that of the usual regression model. That is, the estimated price became more accurate through spatial dependence being incorporated in the model building process. We also could avoid the subjectivity in quantifying spatial relationship using a kriging technique. This improvement is also confirmed visually through reviewing the spatial distribution of estimated-to-actual price ratios. 본 논문은 김제시를 대상으로 농지 가격을 추정하고그 결과를 실증적으로 분석하였다. 선행연구들의 농지 가격 추정 방식이 수익접근법에 치우쳐 있어 필지단위의 개별적 특성을 반영하는 데 한계가 있음을 인식하고, 본 논문에서는 시장접근법을 선택하였다. 전문가가 조사 및 평가한 표준지 공시지가를 투입자료로 하여 시장접근법을 적용하였으며, 농지를 비롯한 토지의 가격은 속성 정보뿐 아니라 위치 정보에따라 결정되는 사실을 고려하여 회귀-크리깅 모형을농지 가격 추정에 최초로 적용하였다. 검증 데이터를 기준으로 모형 성능을 비교한 결과, 회귀-크리깅 모형의 가격 예측력이 기존의 회귀분석모형보다 월등하게 우수함을 확인할 수 있었다. 즉, 공간의존성을 명시적으로 고려함으로써 추정 가격의정확도를 높일 수 있었고, 공간의존성을 계량화할 때크리깅 기법을 적용하여 공간관계 설정에서 임의성을 배제할 수 있었다. 마지막으로 추정 가격을 실제 가격으로 나눈 비율인 SR(sales ratio)의 공간적 분포를 시각적으로 표현함으로써 회귀-크리깅 모형이 농지 가격의 공간의존성을 효율적으로 처리하였음을 확인하였다.
GIS 공간유형분석 모형을 이용한 경관 규모 생태계의 평가기법
손학기,김원주,박종화 한국공간정보학회 2000 한국공간정보학회지 Vol.8 No.2
The objective of this study were to develop landscape scale ecosystem assessment model, and apply the model for the assessment of the state and change of ecosystem of the study area, Yongin, Korea. Since natural ecosystem of the site has been deteriorated significantly during recent extensive residential development, it is essential to correctly assess ecosystem of the study site. Traditional ecosystem assessment mainly utilizing intensive field survey requires high cost, but the outcome rarely represents spatial pattern of the regional ecosystems. Ecosystem assesment of landscape scale based on landscape ecology can resolve most of the shortfalls of the traditional approach. The research method can be summarized as follows. First, extensive literature review on such topics as spatial pattern of ecosystem, ecosystem assessment of landscape scale, ecological analysis was carried out. Second, a model for the ecosystem assessment of landscape scale emphasizing spatial pattern of ecosystem was developed. This model evaluates three indicators; ecological integrity and biological diversity, watershed integrity, and landscape resilience of 11 watersheds in the study area. Finally, ecological assessment utilizing two sets of indicators, enhancement of and disturbance of ecosystem stability, was carried out. This assessment method is based on Environmental Monitoring and Assessment Program´s Landscape component(EMAP-L) of EPA(1994). The results of this study are as follows. First, the ecosystem assessment of landscape scale of the study area of Yongin, Korea, showed that escosystems of Tanchun01 and Chungmichun01 watersheds had the worst state in the study site in 1991. On the other hand, the ecosystems of Jinwechun01, Kyunganchun02, and Bokhachun01 watersheds had the most stable ecosystem in 1991. Second, ecosystems of Tanchun01, Shingal reservoir, and Kyunganchun01 watersheds were evaluated to be the worst state in the study site in 1996. And, ecosystems of Jinwechun01 and Gosam reservoir watersheds had the most stable ecosystem. Third, ecosystem of Tanchun01 watershed which incudes Suji residential development project site changed the most drastically between 1991 and 1996. The ecosystem of the watershed the most drastically deteriorated due to it´s proximity to Seoul and Bundang new town.
손학기(Hakgi Sohn) 대한지리학회 2008 대한지리학회지 Vol.43 No.1
투기과열지역은 투기의 발생 가능성이 높은 지역으로, 각종 부동산대책의 주요 대상이 된다. 본 연구에서는 부동산 가격변동의 공간패턴을 모형화함으로써 투기과열지역의 공간패턴을 제안하고자 한다. 부동산 가격은 합리적 또는 적응적 소유자ㆍ수요자의 경제행위에 의해서 결정되고, 가격변동의 공간패턴은 이들의 경제행위 경향에 의해서 형성된다고 모형화하였다. 일정 지역에 적응적 소유자와 수요자가 다수인 경우, 이 지역은 타 지역에 비해 가격상승 폭이 높고 주변 부동산과 가격상승이 동시에 일어나는 가격변동 핫스팟 패턴으로 정의하였다. 투기과열지역은 최대의 미래 기대이익을 얻고자하는 적응적 소유자와 수요자에 의해서 형성되기 때문에 이 지역의 공간패턴은 가격변동 핫스팟 패턴으로 정의할 수 있었다. Overheated speculation areas which have high potential of becoming speculative are the target of many real estate policies. This paper proposes a model for spatial patterns of house price volatility and suggests a spatial pattern of overheated speculation areas. House prices are determined by economic behaviors of sellers and buyers who have rational or adaptive expectations. Spatial patterns of house price volatility are formed by tendencies of their economic behavior. If there is a majority of adaptive sellers and buyers in an area, it may appear as a “hotspot” by showing high volatility of house prices and simultaneous price increases. Overheated speculation areas are formed by adaptive sellers and buyers who want to realize maximum expectation profit, therefore these areas patterns are defined as hotspot patterns of price volatility.