This paper expands upon a GA 50^th Anniversary panel presentation made at the 2018 New Orleans American Association of Geographers meeting. It notes that retrospectives for this topic already exist, both in terms of the journal and the sub‐discipline. This paper presents discussion about the following selected prominent transitional themes bridging the past and the future of geographical analysis: space–time data; geographic uncertainty and error; and, dimensional reduction spatial statistical modeling. It also presents discussion about the following three themes that are expected to receive considerable future attention: negative spatial autocorrelation; synergies between spatial statistics and spatial optimization; and, big spatial data. The first two of these topics essentially have been ignored in the literature to date.

中文翻译：

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关于地理分析的未来的一些评论：期刊和子学科

在一本论文展开GA 50^日 周年在2018年新奥尔良美国地理学家协会会议上所做的小组介绍。它指出，无论是期刊还是子学科，都已经对该主题进行过回顾。本文讨论了以下一些突出的过渡主题，这些主题将地理分析的过去和未来联系在一起：时空数据；地理不确定性和误差；降维空间统计建模。它还提出了有关以下三个主题的讨论，这些主题预计将在未来引起相当大的关注：负空间自相关；空间统计与空间优化之间的协同作用；还有大空间数据 迄今为止，这些主题中的前两个基本上已在文献中被忽略。