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中国农学通报 ›› 2017, Vol. 33 ›› Issue (5): 139-145.doi: 10.11924/j.issn.1000-6850.casb16080090

所属专题: 马铃薯 农业地理

• 三农研究 • 上一篇    下一篇

基于ESDA 的广西木薯种植空间布局演变研究

栗欣如,尤 飞   

  1. 中国农业科学院农业资源与农业区划研究所,中国农业科学院农业资源与农业区划研究所
  • 收稿日期:2016-08-22 修回日期:2017-01-06 接受日期:2016-09-22 出版日期:2017-03-01 发布日期:2017-03-01
  • 通讯作者: 尤 飞
  • 基金资助:
    中国农业科学院知识创新工程区域发展创新团队项目

Spatial Distribution Evolution of Cassava Planting in Guangxi Based on ESDA

  • Received:2016-08-22 Revised:2017-01-06 Accepted:2016-09-22 Online:2017-03-01 Published:2017-03-01

摘要: 为了合理规划广西种植业结构,提升广西木薯产业的竞争力,笔者运用探索性空间数据分析方法,对2000、2011、2012、2013 年广西88 个县区的木薯种植空间分布状态、集聚态势及其变化进行分析,并在此基础上对空间布局演变的影响因素进行初步探讨。结果显示:广西木薯种植有向南部转移的趋势,南北分异显现,2013 年广西木薯种植形成了“龙州—富川”分异线,形成了“三足鼎立”态势;广西木薯均呈现显著的正向空间依赖性,且地理集聚现象呈现由减弱到逐步增强态势;Moran散点图的分析结果显示,HH类型和LL类型的区域较多,且HH集聚区内研究单元的个体差异较大;LISA 集聚图表明,广西木薯种植在局部范围内存在扩散效应,并呈现北低南高的空间集聚分布格局;自然资源、本地木薯加工厂的能力、比较效益、外出务工劳动人数、农村居民家庭工资性收入等因素的综合作用是空间布局变化的主要原因。研究得出了广西木薯种植的空间相关性,为木薯种植业空间优化和产业发展奠定了坚实基础。

关键词: WSN, WSN, 路由算法, AODV, NS2, 蔬菜温室

Abstract: To rationally plan the planting structure in Guangxi and promote competitiveness of cassava industry, the exploratory spatial data analysis method was used to analyze the spatial distribution, gathering situation and variation of cassava planting in 88 counties of Guangxi in 2000, 2011, 2012 and 2013, and the influencing factors of spatial distribution evolution. The results showed that cassava planting in Guangxi had a trend of shifting to south, and north-south differentiation appeared. The line f“Longzhou—Fuchuan”divided Guangxi into two parts, and gradually formed a tripartite confrontation situation; cassava planting in Guangxi had a significantly positive spatial dependence, besides, the phenomenon of geographical clustering gradually changed from weakening to enhancement. The results of Moran scatter plot showed that the H-H clustering regions increased as well as L-L regions, and the individual differences were larger between the research units in the H-H clustering regions. Lisa clustering showed that a diffusion effect came out in local scope of Guangxi cassava planting, and the South- high- North- low spatial concentration distribution pattern appeared. The combined action of natural resources, the capacity of local cassava processing factories, the comparative effectiveness, the number of migrant workers and the wage income of rural households were the main reasons for the change of spatial distribution. The spatial correlation of cassava planting in Guangxi was identified, which laid a foundation for the spatial optimization and industrial development in cassava planting industry.