geojackass - Space Apps Challenge

geojackass| An Integrated Assessment

An Integrated Assessment

Your challenge is to integrate various Earth Observation-derived features with available socio-economic data in order to discover or enhance our understanding of COVID-19 impacts.

Measuring of economic damage caused by COVID-19 using Night Light

Summary

It has become clear that the intensity of night light acquired by satellites is correlated with social and economic indicators such as gross domestic product, employment, population, and education in each country. In this project, I first describe the method of calculating the night light intensity in Japan by prefecture and city. Based on the results of the various analyses, we are predicting for economic damage caused by corona using Night Light.

How I Addressed This Challenge

[Project site] https://geojackass.github.io/econ_indicator_covid19/dist/index.html

[YOUTUBE] Measuring of economic damage caused by COVID-19 using Night Light

[SLIDES] https://slides.com/geojackass/space-apps-challenge/fullscreen#/

[Github] https://github.com/geojackass/econ_indicator_covid19

[Tableau] spaceapps_covid19_challenge1/

How I Developed This Project

The increase in suicides and homelessness due to unemployment is a social problem in Japan.

In general, the data published by the Japanese government is highly accurate. in the meantime Because it takes a huge amount of time to compile the data, it is not suitable for making economic forecasts and analyses that reflect sudden social events, etc., when you want to respond quickly using the latest data. In this project, we first analyze the relationship between the data published by the government and the night light in Japan. Next, the purpose of this is the analysis and estimation about the stagnation of economic activity under the COVID-19 pandemic using Night Light. Finally, we call for the right government support on the basis of these evidences.

The method is to analyze the correlation between the night light intensity and various economic indicators in Japan by using the satellite data by NASA VIIRS.

The tools used were ArcGIS, QGIS, Tableau, and coding languages are R and python and framework is Github Pages for the WebFrame works as the jekyll.

In the case of Japan, the relationship between the basic social infrastructures and those that have been developed under policy to eliminate disparities to some extent in each region was confirmed to be symbolic.

The results of these various analyses suggest that night light can be used as a proxy variable for various indicators of economic and social activity. Therefore, it can be said that the economic damage caused by the corona can be calculated from the night light.