Practical Reproducibility in Geography and Geosciences
Practical Reproducibility in Geography and Geosciences
复制标题
地理和地球科学的实用再现性
DOI：
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复制
发表时间：
2020
影响因子：
3.9
通讯作者：
E. Pebesma
中科院分区：
文献类型：
--
作者：
Daniel Nüst;E. Pebesma
可复制研究通常被视为一项技术挑战，但它植根于在数字化时代改善学术交流的挑战。当计算机参与进来时，研究人员希望允许其他科学家检查，理解，评估和构建他们的工作，他们需要创建一个研究纲要，其中包括代码，数据，计算环境和使用的基于脚本的工作流程。在这里，我们介绍了达到这种计算可重复性程度的方法的最新技术水平，解决了识字编程和容器化问题，同时注意使用地理空间数据（数字地图，地理信息系统）。我们认为，所有与计算机工作的研究人员都应该了解这些技术来控制他们的计算环境，我们在实践中提出了可重复的工作流程的好处。示例研究概要说明了所提出的概念，是地理和地球科学特有的挑战的基础。根据现有的调查和不同科学领域的最佳实践，我们得出结论，今天的研究人员可以克服许多障碍，实现非常高的可重复性。如果地理和地球科学界在实践和政策中采用可重复性和基础技术，他们可以改变研究人员进行和交流工作的方式，以提高透明度，可理解性，开放性，信任，生产力和创新。
Reproducible research is often perceived as a technological challenge, but it is rooted in the challenge to improve scholarly communication in an age of digitization. When computers become involved and researchers want to allow other scientists to inspect, understand, evaluate, and build on their work, they need to create a research compendium that includes the code, data, computing environment, and script-based workflows used. Here, we present the state of the art for approaches to reach this degree of computational reproducibility, addressing literate programming and containerization while paying attention to working with geospatial data (digital maps, geographic information systems). We argue that all researchers working with computers should understand these technologies to control their computing environment, and we present the benefits of reproducible workflows in practice. Example research compendia illustrate the presented concepts and are the basis for challenges specific to geography and geosciences. Based on existing surveys and best practices from different scientific domains, we conclude that researchers today can overcome many barriers and achieve a very high degree of reproducibility. If the geography and geosciences communities adopt reproducibility and the underlying technologies in practice and in policies, they can transform the way researchers conduct and communicate their work toward increased transparency, understandability, openness, trust, productivity, and innovation.
DOI：
10.1177/2399808317710132
发表时间：
2017
期刊：
Urban Analytics and City Science
影响因子：
--
作者：
Harris R
通讯作者：
Harris R
影响因子：
19.6
作者：
Chen, Xiaoli;Dallmeier-Tiessen, Suenje;Neubert, Sebastian
通讯作者：
Neubert, Sebastian
DOI：
10.1080/13658816.2015.1137579
发表时间：
2016-08
影响因子：
5.7
作者：
A. Singleton;S. Spielman;C. Brunsdon
通讯作者：
A. Singleton;S. Spielman;C. Brunsdon