xiang526 / spatial_COVID_19

Data and code release for "The spatial dissemination of COVID-19 and associated socio-economic consequences"

📝 Data and code release for the paper entitled:

> The spatial dissemination of COVID-19 and associated socio-economic consequences

🚀 Tutorials in this repository:

Figure1-Plot.ipynb: plot Figure 1 in Python

Figure2-Spatial analysis by R.ipynb: spatial analysis of the spread of COVID-19 in R

Figure2-Spatial analysis and plot.ipynb: spatial analysis of the spread of COVID-19 and plot Figure 2 in Python

Figure3-Outbreak analysis by R.ipynb: outbreak analysis of the spread of COVID-19 in R

Figure3-Plot.ipynb: plot Figure 3 in Python

Figure4-Plot.ipynb: plot Figure 4 in Python

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⚡ Main dependencies:

To execute the tutorial, make sure you have Python 3, R/R-Studio and Jupyter notebook installed.

To run R script in Jupyter, IRkernel is required. This package is available on CRAN and you can install it in R/R-Studio Console by:

install.packages('IRkernel')
IRkernel::installspec()  # register the kernel in the current R installation

Python package

os
numpy
pandas
itertools
seaborn
matplotlib
statsmodels
collections

R package

readr
MASS
dplyr
tidyr
texreg

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Should you have any further quires about the code and data, please contact at: yflyzhang_at_gmail.com