This paper considers the past and future of the journal Geographical Analysis (GA), as well as the broader field of spatial analysis. From my experiences as a former editor of GA, I first identify three external trends that I feel will provide the backdrop for the future evolution of spatial analysis. These surround the rise of artificial intelligence, machine learning, and data science as disciplines. The paper also considers the structural changes that are occurring in the organization of science, and the trend toward democratization of spatial analysis and spatial data. I identify critical areas for methodological advances along with some opportunities for the rebranding of GA in the new era of data science.

中文翻译：

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地理分析：恢复编辑的思考

本文考虑了《地理分析》（GA）杂志的过去和未来，以及空间分析的广阔领域。从我担任GA的前编辑的经验出发，我首先确定三个外部趋势，这些趋势将为空间分析的未来发展提供背景。这些围绕着人工智能，机器学习和数据科学等学科的兴起。本文还考虑了科学组织中发生的结构变化，以及空间分析和空间数据向民主化的趋势。我确定了方法学进步的关键领域，以及在新的数据科学时代重新命名GA的一些机会。