Toward a Theory of Spatial Statistics: Another Step Forward
Toward a Theory of Spatial Statistics: Another Step Forward
复制标题
迈向空间统计理论：又向前迈出了一步
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
D. Griffith
中科院分区：
文献类型：
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作者：
D. Griffith
更新介绍了较早的一块概述了一些步骤，需要采取建立一个理论的空间统计。本文对自第一篇论文发表以来的研究成果进行了总结和解释，并为进一步建立空间统计理论基础提供了扩展和建议。主题包括边界的考虑，潜在的空间依赖性的作用，和小样本大小的问题。这些主题包括数据转换，边缘效应偏差，参考抽样分布，多元自相关模型，条件期望和高阶自回归结构的问题。在某种程度上，为下一步制定了路线。
An update is presented to an earlier piece outlining some steps that needed to be taken toward the establishment of a theoy of spatial statistics. Findings that have appeared since this first paper are summarized and interpreted, and extensions and suggestions are offered for the firther establishment of a basis for a theory of spatial statistics. Topics include bounday considerations, the role of latent spatial dependencies, and smull-sample-size issues. These topics embrace the problems of data transformations, edge effect bias, reference sampling distributions, multivariate autocorrelation models, conditional expectations, and higher-order autoregressive structures. In part, a course is charted for the next step to be taken.