中文摘要：

在ArcGIS和GeoDA等软件的支持下,本文利用标准差指数、变异系数法,结合重心迁移、空间自相关等探索性空间数据分析法（ESDA）,首先,对2000~2014年全国整体农村居民人均纯收入进行时间演变特征分析,接着对2000~2013年全国31个省级农村居民人均纯收入的空间分异格局、重心迁移趋势和空间相关性等特征进行分析。结果表明,中国农村收入增速加快,逐渐超过城镇,贫富差距拉大;中国省级农村居民收入区域分异特征出现变化,由严格的东高西低的梯度型变为中西部较低的局部跳跃型;全局空间正相关性显著,存在空间集聚特征,形成东部沿海省份和东北地区的高值聚集区以及西部大片区域的低值聚集区;从省级收入增长率上来看,区域增速的高低发生转变;农民人均收入重心向西北迁移,有利于减小东西收入差距。

英文摘要：

With the aid of ArcGIS and GeoDA, using the methods of standard deviation index, the coefficient of variation, barycenter migration and spatial autocorrelation, the study analyzes the evolution characteristics of per capita net income of rural residents in China during 2000-2014. And the space characteristics of per capita net incomes of 31 provincial rural residents are preliminary explored, including the spatial differentiation, the income barycenter migration trend and spatial correlation. The results show as following, China＇s rural income growth is accelerated, and the growth rate of rural residents＇ income had surpassed the growth rate of citizens＇ income. The gap between rich and poor has widened. The regional differentiation of rural residents＇ income of province level in China is obvious, showing a pattern of the eastern China 〉 the middle China 〉 the western China, meanwhile, Some of the provinces ap- pear income depression phenomenon. The calculate result of Moran＇s I shows that global spatial autocorrelation is significant, and the spatial cluster of income exists. High - value areas cluster in the eastern coastal provinces and Northeast China Region, low - value areas clusters in the large area of the western China. The growth rate of different provinces presents the large - small conversion. The rural income barycenter had moved towards northwest on the whole from 2000 to2013, which has negative effect on the income gap between the east and the west.