论文标题
构建基准测试框架以支持可复制性和可重复性：作为示例的空间和文本分析
Building benchmarking frameworks for supporting replicability and reproducibility: spatial and textual analysis as an example
论文作者
论文摘要
复制性和可重复性（R＆R）对于科学学科的长期繁荣至关重要。在Giscience中，研究人员讨论了与不同的研究主题和问题有关的R＆R，例如本地空间统计，数字地球和元数据（Fotheringham，2009; Goodchild，2012; Anselin等，2014）。该立场论文建议通过构建基准测试框架来进一步支持R＆R，以促进复制以前的研究，以进行有效且有效的方法比较用于解决相同或相似问题的方法和软件工具。尤其是，本文将使用地理序列，这是空间和文本分析中的重要研究问题，以解释这种基准测试框架的价值。
Replicability and reproducibility (R&R) are critical for the long-term prosperity of a scientific discipline. In GIScience, researchers have discussed R&R related to different research topics and problems, such as local spatial statistics, digital earth, and metadata (Fotheringham, 2009; Goodchild, 2012; Anselin et al., 2014). This position paper proposes to further support R&R by building benchmarking frameworks in order to facilitate the replication of previous research for effective and effcient comparisons of methods and software tools developed for addressing the same or similar problems. Particularly, this paper will use geoparsing, an important research problem in spatial and textual analysis, as an example to explain the values of such benchmarking frameworks.
