Where There’s a Link, There’s a Way

Since the COVID-19 pandemic began, there has been a proliferation of websites and portals developed to share resources about the topic. Your challenge is to find innovative ways to present and analyze integrated, real-time information about the environmental factors affecting the spread of COVID-19.

Space API

Summary

The projects consist on an Application Programming Interface (API) that gathers datasets from multiple sources, such as NASA, ESA, and JAXA, and a website that uses this same API to provide data, analysis, and statistics showing the impact, or lack thereof, of COVID-19 with other social and geographical factors. The goal of both the API and the website is to democratize and make data access more friendly. Therefore, scientists and the general population don't have to struggle when looking for non-standard and non-structured data in multiple sources. This way, they can use only one tool that takes care of all the hard parts.

How We Addressed This Challenge

This project addresses the challenge by finding an innovative way of presenting and analyzing integrated data about environmental and social factors affecting the spread of COVID-19. By gathering and merging data into a single API, we make this information more accessible and straightforward to use; therefore, it presents the data in a different and new way that allows users to get and analyze it. The solution is usable by anyone since we developed a technical API and an open website. With both of them, it's possible to merge, integrate, and examine potential links between human health factors.

How We Developed This Project

We developed our project in three stages:

1 - Collect and classify data: we went through all the links available in all challenges classifying them in Geographical, Health, or Social/Economics, checking their formats and gathering downloadable pages.

2 - Developing the API: we created an open-source python library named pyspace-api that requests and downloads the datasets, create some statistics and analysis. The library is available at https://pypi.org/project/pyspace-api/, and the code is available at https://github.com/lusmoura/Nasa-space-apps.

3 - Developing the website: using our API, HTML, CSS, and javascript, we developed a website to show graphs, data, and information about the team and the project. The site is available at  http://spaceapi.co/.

Project Demo

https://drive.google.com/file/d/1YSkyYfFypy5FoaqQCcEnsgo9EZYiwQzD/view?usp=sharing

Data & Resources

Since the goal is to gather information and make access more convenient, we used datasets from Nasa, Jaxa, and ESA. The initial version counts with the following resources, but the idea is to improve the API and the website, so they contain even more data:

  • ESA
  1. mortality and natality: https://ec.europa.eu/eurostat/estat-navtree-portlet-prod/BulkDownloadListing?file=data/urb_lfermor.tsv.gz&unzip=true
  2. coronavirus cases worldwide: https://opendata.ecdc.europa.eu/covid19/casedistribution/csv
  • JAXA
  1. greenhouse gases concentration: https://www.eorc.jaxa.jp/GOSAT/GPCG/download/data-g2-201902.txt
  • NASA
  1. landslides: https://data.nasa.gov/api/views/dd9e-wu2v/rows.csv?accessType=DOWNLOAD
  2. atmospherical data: https://daac.ornl.gov/daacdata/above/ABoVE_Atmospheric_Flask_Data/data/ABoVE_april-nov_2017_flask_data.csv
Tags
#data #api #python #web #nasa #jaxa #esa #datascience #brazil #latinamerica
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.