Abstract
Reproducing and replicating the results of other researchers is a fundamental form of error correction in science. However, reproducing and replicating prior research can be difficult for several reasons. A researcher may not make their original data available for reanalysis, or may not provide sufficient details about the design of a study, protocols used, and analytical procedures to allow a result to be reproduced or replicated. At the same time, researchers have a limited ability to control some of the complex systems they study, which complicates repetition of prior analyses. The complex systems geographers study, the variety of approaches geographers use to generate new knowledge, and the intricacies of spatial data analysis all make reproducing and replicating geographic research challenging. Nonetheless, being able to reproduce and replicate geographic research is essential to assessing the reliability of knowledge.
Reference29 articles.
1. 1,500 scientists lift the lid on reproducibility
2. Barba L.A.2018.Terminologies for Reproducible Research. arXiv preprint arXiv:1802.03311. DOI:org/10.48550/arXiv.1802.03311.
3. Bollen K. Cacioppo J.T. Kaplan R.M. Knosnick J.A. andOlds J.L.2015.Social Behavioral and Economic Sciences Perspectives on Robust and Reliable Science. Report of the Subcommittee on Replicability in Science Advisory Committee to the National Science Foundation Directorate for Social Behavioral and Economic Sciences.https://www.nsf.gov/sbe/AC_Materials/SBE_Robust_and_Reliable_Research_Report.pdf(accessed April 2019).
4. Computing environments for reproducibility: Capturing the “Whole Tale”
5. Quantitative methods I