基于Geoda 095i区域经济增长率的空间统计分析研究

Study on Spatial Statistical Analysis of Regional Economic Growth Rate Based on Geoda 095i

空间统计分析的核心是认识与地理位置相关的数据间的空间依赖、空间关联或空间自相关,通过空间位置建立数据间的统计关系。本文利用空间分析的相关知识,通过对河南省各辖市2006年第一季度GDP增长速度及其相关因素的分析,发现该时期内河南省各辖市GDP增长率水平的空间分布并非表现出完全随机性,而是表现出空间相似值之间的空间聚集。基于对Moran散点图的分析和空间滞后回归模型的回归分析,得出空间统计分析对于分析区域经济发展的空间结构形态以及政策制定具有参考价值。

The core of spatial statistical analysis is to understand the spatial dependence, spatial association and spatial autocorrelation among the data related to geographic location, and to establish the statistical relation among data according to the spatial location. On the basis of the related knowledge of spatial analysis, this paper analyzed the first quarter＇s GDP growth rate and relevant factors of the cities of Henan province in 2006. It showed that the spatial distribution of the GDP growth level is not entirely random, but spatial clustering of spatial similar value. Based on the analysis of Moran scatter plot and spatial lag regression models, it put forward that the spatial statistical analysis could draw some reference value for analyzing spatial structure and pattern and policy - making.