THE ANALYSIS OF SPATIAL ASSOCIATION BY USE OF DISTANCE STATISTICS
THE ANALYSIS OF SPATIAL ASSOCIATION BY USE OF DISTANCE STATISTICS
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DOI：
10.1111/j.1538-4632.1992.tb00261.x
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发表时间：
1992-07-01
影响因子：
3.6
通讯作者：
ORD, JK
中科院分区：
文献类型：
--
作者：
GETIS, A;ORD, JK
本文介绍的是一个家庭的统计，G，可以用来作为一种措施的空间关联在许多情况下。基本统计量的推导，其属性进行了识别，并解释其优点。几个G统计量可以评估单个点的指定距离内变量的空间关联。一般G统计量和莫兰的我类似的假设和经验条件之间的比较。实证工作包括婴儿猝死综合征的研究县在北卡罗来纳州和住宅单位价格在大都市圣地亚哥的邮政编码区。结果表明，G统计量应与I结合使用，以识别I统计量单独未揭示的模式特征，具体而言，G（i）和G（i）* 统计量使我们能够检测使用全局统计量时可能不会显示的局部依赖性“口袋”。
Introduced in this paper is a family of statistics, G, that can be used as a measure of spatial association in a number of circumstances. The basic statistic is derived, its properties are identified, and its advantages explained. Several of the G statistics make it possible to evaluate the spatial association of a variable within a specified distance of a single point. A comparison is made between a general G statistic and Moran's I for similar hypothetical and empirical conditions. The empirical work includes studies of sudden infant death syndrome by county in North Carolina and dwelling unit prices in metropolitan San Diego by zip-code districts. Results indicate that G statistics should be used in conjunction with I in order to identify characteristics of patterns not revealed by the I statistic alone and, specifically, the G(i) and G(i)* statistics enable us to detect local "pockets" of dependence that may not show up when using global statistics.