Space‐time data are becoming more abundant as time goes by, with hands‐on interest in them becoming more prevalent. These data have a very sensitive ordering in space and time, one that the simplest of recording errors can scramble. These data are also complex, containing both spatial and temporal autocorrelation coupled with their interaction. One goal of many researchers is to disentangle and account for these autocorrelation components in a parsimonious way. This article presents three competing model specifications to achieve this end. In addition, it outlines seven best practices for vetting space‐time datasets. This article cites a publicly available corrupt (containing at least errors of omission) rabies dataset to illustrate how a large volume of potentially valuable data can be rendered meaningless. In addition, it exemplifies postulated contentions about the United States National Cancer Institute Surveillance, Epidemiology, and End Results Program’s 1969–2018 population‐by‐county dataset, a collection of population counts held in high esteem. One major empirical finding is that this particular dataset exhibits traits that may merit remedial revisions action. A key conceptual finding is a suggested set of best practices for space‐time data proofreading. These two findings contribute to an ultimate goal of a large collection of certified open access space‐time datasets supporting repeatable and replicable scientific analyses.

中文翻译：

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有关时空数据的重要注意事项：建模，审查和批准

随着时间的流逝，时空数据变得越来越丰富，对它们的动手兴趣也越来越普遍。这些数据在空间和时间上具有非常敏感的排序，最简单的记录错误可能会加扰这些排序。这些数据也很复杂，包含空间和时间自相关及其相互作用。许多研究人员的目标之一是以简约的方式解开并考虑这些自相关成分。本文提出了三个相互竞争的模型规范来实现这一目的。此外，它概述了审查时空数据集的七个最佳实践。本文引用了一个公开可用的腐败（至少包含遗漏错误）狂犬病数据集，以说明如何使大量潜在有价值的数据变得毫无意义。此外，它举例说明了有关美国国家癌症研究所监视，流行病学和最终结果计划的1969-2018年人口对县数据集的假定论点，该数据集受到高度重视。一个主要的经验发现是，这个特定的数据集展现出可能值得补救修订行动的特征。一个重要的概念发现是建议的一组时空数据校对最佳实践。这两个发现为最终的目标做出了贡献，该目标是支持可重复和可重复的科学分析的大量经认证的开放存取时空数据集。一个主要的经验发现是，这个特定的数据集展现出可能值得补救修订行动的特征。一个重要的概念发现是建议的一组时空数据校对最佳实践。这两个发现为最终的目标做出了贡献，该目标是支持可重复和可重复的科学分析的大量经认证的开放存取时空数据集。一个主要的经验发现是，这个特定的数据集展现出可能值得补救修订行动的特征。一个重要的概念发现是建议的一组时空数据校对最佳实践。这两个发现为最终的目标做出了贡献，该目标是支持可重复和可重复的科学分析的大量经认证的开放存取时空数据集。