首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于GWR的新疆农机总动力空间异质性分析
引用本文:轩俊伟,郑江华.基于GWR的新疆农机总动力空间异质性分析[J].农机化研究,2016(5):36-42.
作者姓名:轩俊伟  郑江华
作者单位:新疆大学资源与环境科学学院,乌鲁木齐,830046
基金项目:新疆维吾尔自治区高层次人才培养计划项目,教育部促进与美大地区科研合作与高层次人才培养项目
摘    要:从县域空间尺度出发,利用空间分析方法和地理加权回归模型,研究了2003-2012年新疆县域农机总动力空间聚集特征及其影响因素的空间异质性。结果表明:新疆县域农机总动力存在明显的空间异质性和空间聚集分布模式,空间分布表现出在经向上北疆大、南疆小,纬向上西部大、东部小;总体由天山南北两侧向外递减的趋势,中部为高高聚集区,南部为低低聚集区。近10年来,新疆县域农机总动力存在一定的空间正相关特性,且空间相关性随着时间整体呈现下降趋势。新疆县域农机总动力的影响因素存在明显的空间异质性。新疆西北部区域农机总动力对耕地经营规模比较敏感,西南部区域对政府财政投入比较敏感,而中南部区域对农民收入比较敏感。在不同区域第一产业人数对农机总动力的作用表现出正反两种相关关系,并且负相关关系有南移的趋势。根据农机总动力影响因素的空间分异特征,可以更好地解释分析农业机械总动力的发展变化规律,推动农业机械化事业更加科学、快速发展。

关 键 词:农机总动力  空间自相关  GWR  空间异质性  新疆

Analyzing the Spatial Heterogeneity of Agricultural Machinery Power in Xinjiang Based on GWR
Abstract:Based on the agricultural machinery power and agricultural economy data of 85 counties and districts of Xin-jiang autonomous region from 2003 to 2012,the spatial heterogeneity of agricultural machinery power and driving factors were analyzed by using spatial analysis tools of GIS and geographically weighted regression ( GWR ) model.The results showed that the counties with higher agricultural machinery power were gathering in central region and the counties with lower were clustering in southern region of Xinjiang.Meanwhile there was a significant spatial positive correlation for agri-cultural machinery power in different counties, and the trend of correlation showed an downward trend during 2003-2012.The driving factors revealed a localization characteristic of no-stationary intercourse.The agricultural machinery power of northwestern region was mainly affected positively by total sown area, while agricultural machinery power of the southwest and south central regions were more sensitive to the government financial investment and peasants income in separately.And the reducing number of primary industry played an important role in promoting the agricultural machinery power.Therefore, this results could explain and analyze the rules and reasons of agricultural machinery power develop -ment in a more rational way.This had vital significance for boosting agricultural mechanization development in a fully and fast way.
Keywords:agricultural machinery power  spatial autocorrelation  GWR  spatial heterogeneity  Xinjiang
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号