摘要
以福安市各乡镇空间单元作为研究区域,选用各单元的人均农业生产总值为评价指标,基于空间自相关分析理论与方法,运用GeoDa、ArcGIS和DPS数据处理软件,计算各乡镇人均农业生产总值的全局和局域Moran’s I指数并绘制自相关图,进而分析福安市各镇域农业经济格局演变的空间自相关性特征。研究结果表明:福安市乡镇农业经济格局差异从2000年开始主要表现在西北和东南方向上,东西方向上存在两极化和聚集化趋势,农业经济发达的乡镇主要集中在湾坞镇、溪尾镇、下白石镇,农业经济落后的乡镇主要集中在坂中乡、城关、溪潭镇、穆阳镇,并预测2020年农业经济格局基本不变,农业经济差异将进一步缩小。本研究可以为实现乡镇农业经济协调发展提供参考。
In this paper, the towns of Fu＇ an are taken as spatial units and the gross agricultural production （GAP） per capita of each unit is chosen as the single evaluation index. Based on the theory and method of spatial autoeorrelation analysis, the author draws the overall and local autocorrelation graphs of Moran＇ s I exponent to study the spatial autocorrelation characteristics of agricultural economic pattern using GeoDa, DPS and AreGIS software. The results showed that the difference of town agricultural economic structure in Fu＇an has mainly appeared in southeast-northwest direction since 2000. There are obvious polarization and aggregation trends in the east-west direetion. The developed agricultural economic towns are mainly concentrated in the southeast of Fu＇ an including Wanwu, Xiabaishi and Xiwei. In addition, the backward agricultural economic towns are Banzhong, Xitan, Muyang, and Chengguan. It is predicted that the town agricultural economic pattern of Fuan will not change significantly in 2020, and agricultural economic differenee will be narrowed.
作者
林俊杰
Lin Junjie(Fu＇an No.1 Middle School,Fu＇an Fujian 353001)
出处
《中国农学通报》
2018年第19期145-151,共7页
Chinese Agricultural Science Bulletin
