http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
李光洙,鄭永觀,朴南昌,崔載彩,姜眞擇 경상대학교 농과대학 부속연습림 2001 演習林硏究報告 Vol.- No.11
This study was carried out to analyze physical and chemical properties of soil and leaf analysis to estimating amount of tree growth in Chamaecyparis pisifera, Jinhae city, Gyeongnam province. The results were summarize as follows; As the results from analysis of relation of physical-chemical properties of soil and leaf component, the relationship p component inside soil and n component inside leaf showed positive correlation with determination coefficients(R^2=0.9986), and also relation of nitrogen component inside soil and component of Na_2O inside leaf showed positive correlation with determination coefficients(R^2=0.9987), but the relation of component Ca^2+ inside soil and component of Na_2O inside leaf showed negative correlation with determination coefficients(R^2=-0.9984), and also relation of p component inside soil and Fe component inside leaf showed negative correlation with determination coefficients(R^2=-0.7215). The results from analysis of relation of leaf component and tree growth, showed correlation of determination coefficient(R^2=0.4256) in height growth, determination coefficient (R^2=0.6248) in DBH growth, determination coefficient(R^2=0.6248,) in volume growth, respectively. In each tree growth of recent five years, N and P components showed positive correlation of determination coefficient(R^2=0.6170, 0.5780, respectively) in height growth, and also N and Na^+ components showed positive correlation of determination coefficient(R^2=0.6016, R^2=0.8727, respectively) in DBH growth, but K= component showed negative correlation in DBH growth As the results from analysis of stepwise regression to estimating amount of DBH growth, sequence of inputted variables entered in order of N, Na+, Mg++, ,and estimated equation was Y=44.791N-56.640Mg+0.6867Na-26.47, determination coefficients of 69%.
권철현,이상태,신현철,최재채,정영관 경상대학교 농업생명과학연구원 2003 농업생명과학연구 Vol.37 No.1
본 연구는 산청군 남부와 북부지역 361개소의 공시지가와 일반시가에 대하여 분석하였다. 지가 형성요인에 대하여 단계별 회귀분석을 실시하였으며, 그 결과는 다음과 같다. 남부지역에 대한 공시지가와 관련된 5변수 모형에 의한 추정식은 Y = 332.1973 +0.0099X_26 - 0.3577 X_8+ 0.0291X_24 - 2.6768X_2 - 26.1452X_3 이며, 회귀식에 대한 설명력은 90%로 높게 나타났으며, 일반시가에 대한 추정식은 Y = 1035.7976 -185.8280X_21 -3.3937X_1 + 405.6658X_19 -0.4703X_8 이며, 추정식에 대한 설명력은 92%롤 비교적 높게 나타났다. 북부지역에 대한 지가 형성요인에 의한 공시지가 추정모형은 Y = 176.7875 + 0.0205X_25 -0.1168X_8 + 0.0015X_26 -46.3447X_21 로 추정되었으며, 회귀식에 대한 설명력은 96%, 일반시가의 추정 모형은 Y = 203.0697 + 0.0430X_25 + 0.0027X_26 -28.8276X_4 -46.7856X_21 -0.0007X_23 으로 추정되었으며, 회귀식에 대한 설명력은 90%로 나타났다. 이상과 같이 접근요인은 부의 영향을, 그 외 다른 요인들은 지가에 양의 영향을 미치는 것으로 나타났다. This study was carried out to analyze the publicly announced land price and actual land price compared to the northern and southern region of 361 forest land place in Sanchung county. To decipher factors for making forest land price it used the stepwise regression analysis. And the result of analysis are followings; Y = 332.1973 +0.0099X_26 - 0.3577 X_8+ 0.0291X_24 - 2.6768X_2 - 26.1452X_3 (R^2=90%) and the estimation equation of actual price analyze the publicly announced and actual price compared to the northern and southern regions of Sanchung county of price was obtained as Y = 1035.7976 -185.8280X_21 -3.3937X_1 + 405.6658X_19 -0.4703X_8(R^2=92%). In the northern region, the estimation equation of publicly announced land price by the factors for making forest land price was obtained Y = 176.7875 + 0.0205X_25 -0.1168X_8 + 0.0015X_26 -46.3447X_21(R^2=96%) and the estimation equation of actual price was obtained as Y = 203.0697 + 0.0430X_25 + 0.0027X_26 -28.8276X_4 -46.7856X_21 -0.0007X_23(R^2=90%). In the result of the stepwise regression analysis, it was a showed negative effect of the proximity factor and the positive effect between others factor and land price.