首页|四川省市域人均耕地面积空间自相关分析

四川省市域人均耕地面积空间自相关分析

Spatial Autocorrelation of Per Capita Cultivated Land at City Level in Sichuan

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运用探索性空间数据分析(ESDA)方法,以市为分析单位,探测四川省由农业大省向农业强省转变过程中市域间人均耕地面积的空间格局、特征及其空间关联性.研究结果表明:(1)四川省市州人均耕地面积集中分布在0.039~0.05 hm2之间,阿坝州、凉山州、甘孜州人均耕地面积最高分别为0.066、0.073、0.086 hm2,成都市、雅安市、攀枝花市人均耕地面积最少,分别为0.031、0.035、0.036 hm2;(2)四川省人均耕地面积呈现空间自相关效应的显著性水平较高,其特征为人均耕地面积较低(较高)的市趋于与人均耕地面积较低(较高)的市相邻接.(3)从Moran's 散点图及 LⅠSA 聚类图看出,落入 LL 和 HH 象限的市域数量大于 HL 和 LH 象限,且显著性区域较少,反映了人均耕地面积空间分布具异质性,呈现空间离散分布格局.
Using ESDA(ExPloratory SPatial Data Analysis)method,a City for the unit of analysis,to reveal sPatial Pattern,the characteristics and sPatial connection of Per caPita arable land area of Sichuan Province, through exPloring its transformation from a big agricultural Province to a strong one. Research shows:1)Per caPi-ta arable land area in Sichuan distributing around 0. 039 ~ 0. 05hm2 ,and the three autonomous Prefectures,Aba, Liangshan,Ganzi,are the highest 0. 066hm2 ,0. 073hm2 ,0. 086hm2 . while Chengdu,Ya'an,and Panzhihua are the lowest,resPectively 0. 031hm2 ,0. 035hm2 ,0. 036hm2;2)Ⅰn Sichuan Province,the high(low)Per caPita arable land area tends to be adjacent to the low(high);3)According to the Moran scatter Plot and the LⅠSA gathering diagram,the number in LL and HH quadrant are more than that of HL and LH quadrant,and the signif-icant region is rare,showing the sPatial heterogeneity of Per caPita arable land area distribution,and the distribu-tion of sPatial Pattern is discrete.

sPatial autocorrelationESDAMoran's ⅠPer caPita cultivated areaSichuan

曾雨晴、马伟龙

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四川师范大学西南土地资源评价与监测教育部重点实验室,四川成都 610066

四川师范大学地理与资源科学学院,四川成都 610066

空间自相关 探索性空间数据分析 Moran's 人均耕地面积 四川省

2015

绵阳师范学院学报
绵阳师范学院

绵阳师范学院学报

影响因子:0.17
ISSN:1672-612X
年,卷(期):2015.(8)
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