林业产业产值空间自相关的动态变化分析

The Dynamic Changes of the Forestry Industry Output of Spatial Autocorrelation Analysis

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。

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.