CAJ | 학술논문

从全局和局部两个层面，首先运用Moran’s I和Getis-Ord指数G对林业产业产值的空间自相关进行探测，进一步确定集聚类型，进而分析其动态变化。结果表明，林业产业产值在空间上呈聚集性分布，空间上地理分布差异大，时间上数量变化较小，且以正向空间自相关（多为高——高空间关联）居多；上海的负向空间自相关（低——高空间关联）最为典型；林业产业总产值与林业第二产业产值的空间自相关及热点分布基本一致，集中分布在东部和南方沿海及相邻内陆地区以及西北和西南地区，并有沿强影响点向外延伸趋势。
종전국화국부량개층면，수선운용Moran’s I화Getis-Ord지수G대임업산업산치적공간자상관진행탐측，진일보학정집취류형，진이분석기동태변화。결과표명，임업산업산치재공간상정취집성분포，공간상지리분포차이대，시간상수량변화교소，차이정향공간자상관（다위고——고공간관련）거다；상해적부향공간자상관（저——고공간관련）최위전형；임업산업총산치여임업제이산업산치적공간자상관급열점분포기본일치，집중분포재동부화남방연해급상린내륙지구이급서북화서남지구，병유연강영향점향외연신추세。
This paper, from two aspects： global and local, first using Moran＇s I and Getis-ord index G detected spatial autocorrelation of the forestry industry output value, further determined the type of gathering, and then ana- lyzed its dynamic changes. Results show that the forestry industry output value in clustering on the space distribu- tion, space distribution difference is big, small amount change in time, and with positive spatial autocorrelation （mostly in the more space for high - high）; Shanghai＇s negative spatial autocorrelation （low - high spatial associa- tion） is the most typical; The distributions of the spatial autocorrelation and hot spot of the forestry industry output value and the second forestry industry output value are basic consistent,and concentration distribution in the east- ern and southern coastal and adjacent inland areas and southwest and northwest regions, and has the influential point along the trend of extending outward.