基于分区和多元回归分析的统计单产空间化模拟——以吉林省玉米为例 |
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引用本文: | 石淑芹,陈佑启,李正国,杨鹏,吴文斌,姚艳敏,李志斌. 基于分区和多元回归分析的统计单产空间化模拟——以吉林省玉米为例[J]. 安徽农业科学, 2011, 39(6): 3193-3195,3212 |
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作者姓名: | 石淑芹 陈佑启 李正国 杨鹏 吴文斌 姚艳敏 李志斌 |
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作者单位: | 1. 天津工业大学管理学院,天津,300387 2. 中国农科院农业资源与农业区划研究所,北京,100081 |
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基金项目: | 国家重点基础研究发展计划973计划项目,国家自然科学基金项目,农业部资源遥感与数字农业重点开放实验室基金项目,天津市高等学校人文社会科学研究项目,教育部人文社会科学研究项目 |
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摘 要: | 以吉林省玉米统计单产为例,采用分区和多元回归模拟相结合的方法,开展玉米统计单产的空间化模拟研究,以便了解粮食单产与各种环境因子之间的关系,并为农业资源的综合分析、科学管理和决策提供参考,为作物遥感监测提供有效参数。
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关 键 词: | 统计单产 空间化 分区 多元回归分析 |
Spatial Simulation of Per Unit Area Yield of Maize by Statistics Based on Regionalization and Multiple Regression Analysis |
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Affiliation: | SHI Shu-qin et al(School of Management,Tianjin Polytechnic University,Tianjin 300387) |
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Abstract: | Taking the case of per unit yield of maize by statistics,the methods what combining regionalization and multiple regression simulation were utilized,and the spatial simulation study was carried out for per unit area yield of maize by statistics to understand the relationship between per unit area yield of grain and every environment factor,and to provide the references for comprehensive analysis,scientific management and decisions of agricultural resources as well as to provide valid parameters for crops remote sensing monitoring. |
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Keywords: | Per unit area yield of maize by statistics Spatial simulation Regionalization Multiple linear regression model |
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