SPATIAL MODELLING OF SOCIO-ECONOMIC FACTORS OF COVID-19 MORTALITY IN RUSSIA: data, R code and plots
Description
This repository contains the supplementary materials (code, data and plots) for the paper Kotov, E., Goncharov, R., Kulchitsky, Y., Molodtsova, V., Nikitin, B. (2022). Spatial Modelling of Key Regional-Level Factors of COVID-19 Mortality in Russia. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY, 15(2), 71–83. https://doi.org/10.24057/2071-9388-2021-076
Technical info (English)
If you want to re-run the analysis from scratch:
-
Install R https://cran.r-project.org and RStudio https://www.rstudio.com.
-
Extract all the files to a folder.
-
Open the
ru-covid19-regional-excess-mortality.Rproj
file in RStudio. -
Open the
paper/paper.Rmd
file within RStudio file browser. -
Press Knit button at the top to run the analysis. All packages should install automatically, the analysis should run and you should get an regenerated
paper/paper.html
file.
Table of contents (English)
-
/codebook/codebook.xlsx
- contains description of the variables -
/paper
- a folder with the main script for performing the analysis-
paper/paper.Rmd
- the main script that can be rendered into html or pdf file -
paper/paper.html
- the pre-rendered version of the analysis script - this is what you want to open if you just want to read the results summary and see the plots
-
-
/R
- a folder with custom analysis functions and package installation scripts written in R -
/data/
- data folder-
region_borders_with_data.gpkg
- GIS data set with all attributes and regional boundaries geometry -
region_borders_with_data.gal
- the spatial weights matrix file used for spatial autocorrelation tests and spatial modelling -
regions_data.csv
- a copy of the regions attributes in a plain-text csv file without regional boundaries geometry
-
-
/plots/
- folder with plots exported for the final paper -
/summaries/
- folder with model summaries and coefficients
Files
e-kotov/ru-covid19-regional-excess-mortality-v0.4.zip
Files
(59.5 MB)
Name | Size | Download all |
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md5:020110e68c20176cb71d435d391efcbd
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59.5 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Journal: 10.24057/2071-9388-2021-076 (DOI)
- Is supplemented by
- Computational notebook: https://www.ekotov.pro/ru-covid19-regional-excess-mortality/ (URL)
Funding
- Ensuring balanced regional development during a pandemic with spatially differentiated regulation of socio-economic interaction, sectoral composition of the economy and local labour markets 20-04-60490
- Russian Foundation for Basic Research
Software
- Repository URL
- https://github.com/e-kotov/ru-covid19-regional-excess-mortality
- Programming language
- R
- Development Status
- Inactive