COVID-19 Spatial Clustering II
Mar-10
: In this lesson, we will practice reproducing a prior study.
Goals and Expectations
- Implement your analysis plan using R
- Discuss your results and conclude the study
- Knit the study report to
html
format and save to the docs
folder
- Use what you learn from Kedron and Holler (2024) and Schmitt (1978) to frame your goals and interpret your findings
- Update the project
readme.md
file, procedure_index.csv
, data_index.csv
, and data/metadata
documentation.
- Create a version
release
of your compendium on GitHub once the analysis is complete and the report is rendered
- Write a blog post to highlight your findings using the validity readings and link to the report
- Mid-semester self-evaluation
Reading
- Kedron, P. and Holler, J. (2024). Validation and Verification of Applied GIS Research. The Geographic Information Science & Technology Body of Knowledge (2024 Edition), John P. Wilson (ed.). DOI: 10.22224/gistbok/2024.1.13
- Schmitt, R. R. (1978). Threats to validity involving geographic space. Socio-Economic Planning Sciences, 12(4), 191–195. DOI: 10.1016/0038-0121(78)90044-7
Reference
- Longley, P. A., M. F. Goodchild, D. J. Maguire, and D. W. Rhind. 2008. Geographical information systems and science 2nd ed. Chichester: Wiley.
- Chapter 6: Uncertainty, (pages 127-153)
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