arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2008.05561cs.CYphysics.soc-phstat.AP
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工作的正确工具:空间科学工具建设案例

The Right Tools for the Job: The Case for Spatial Science Tool-Building

Geoff Boeing

摘要:

这篇论文是在华盛顿特区举行的美国地理学家协会年会上作为第八届GIS年会全体会议上发表的。空间科学最近看到越来越多的要求更容易获得的软件和工具,更好地体现地理科学和理论。城市空间网络科学提供了一个明确的机会:从多个角度来看,建模和分析非平面城市空间网络的工具传统上是不可访问的,非理论的,或以其他方式限制。本文对这一领域的现状进行了反思。然后讨论了开发OSMnx的动机、经验和结果,OSMnx是一种旨在帮助解决这一问题的工具。接下来,它回顾了这个工具在最近的多学科空间网络科学文献中的使用,以突出开源软件开发的上游和下游利益。工具建设是一个重要的,但缺乏激励的组成部分,学术地理和社会科学更广泛。为了进行更好的科学研究,我们需要建立更好的工具。本文最后指出了前进的道路,强调开源软件和可重复使用的计算数据科学,而不仅仅是可重复性和可复制性。

英文摘要:

This paper was presented as the 8th annual Transactions in GIS plenary address at the American Association of Geographers annual meeting in Washington, DC. The spatial sciences have recently seen growing calls for more accessible software and tools that better embody geographic science and theory. Urban spatial network science offers one clear opportunity: from multiple perspectives, tools to model and analyze nonplanar urban spatial networks have traditionally been inaccessible, atheoretical, or otherwise limiting. This paper reflects on this state of the field. Then it discusses the motivation, experience, and outcomes of developing OSMnx, a tool intended to help address this. Next it reviews this tool's use in the recent multidisciplinary spatial network science literature to highlight upstream and downstream benefits of open-source software development. Tool-building is an essential but poorly incentivized component of academic geography and social science more broadly. To conduct better science, we need to build better tools. The paper concludes with paths forward, emphasizing open-source software and reusable computational data science beyond mere reproducibility and replicability.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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