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OALib Journal期刊
ISSN: 2333-9721
费用：99美元
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地理学时空数据分析方法
DOI: 10.11821/dlxb201409007, PP. 1326-1345
Keywords: 时空格局,样本,对象总体,时空数据,时空过程,时空机理,大数据
Abstract:
随着地理空间观测数据的多年积累,地球环境、社会和健康数据监测能力的增强,地理信息系统和计算机网络的发展,时空数据集大量生成,时空数据分析实践呈现快速增长.本文对此进行了分析和归纳,总结了时空数据分析的7类主要方法,包括时空数据可视化,目的是通过视觉启发假设和选择分析模型;空间统计指标的时序分析,反映空间格局随时间变化;时空变化指标,体现时空变化的综合统计量;时空格局和异常探测,揭示时空过程的不变和变化部分;时空插值,以获得未抽样点的数值;时空回归,建立因变量和解释变量之间的统计关系;时空过程建模,建立时空过程的机理数学模型;时空演化树,利用空间数据重建时空演化路径.通过简述这些方法的基本原理、输入输出、适用条件以及软件实现,为时空数据分析提供工具和方法手段.
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