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Sarah Bardin

As seen in: Wiley Online Library, arXiv
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Articles

Exploring Spatial Context: A Comprehensive Bibliography of GWR and MGWR

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By A. Stewart, Chen-Lun Kao, Hanchen Yu, Sarah Bardin
| arXiv
arXiv:2404.16209 (stat) View PDF Comments: Subjects: Methodology (stat.ME); Mathematical Software (cs.MS); Applications (stat.AP); Computation (stat.CO) Cite as: arXiv:2404.16209 [stat.ME] (or arXiv:2404.16209v1 [stat.ME] for this version) Submission history From: Chen-Lun Kao [ view email] [v1] Wed, 24 Apr 2024 21:09:07 UTC (3,706 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations...
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A Framework for Moving Beyond Computational Reproducibility: Lessons from Three Reproductions of Geographical Analyses of COVID‐19

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By Peter Kedron, Joshua Gilman, Sarah Bardin, Joseph Holler
| Wiley Online Library Verified
Abstract Despite recent calls to make geographical analyses more reproducible, formal attempts to reproduce or replicate published work remain largely absent from the geographic literature. The reproductions of geographic research that do exist typically focus on computational reproducibility—whether results can be recreated using data and code provided by the authors—rather than on evaluating the conclusion and internal validity and evidential value of the original analysis.
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