Awards & Nominations
GiveSight has received the following awards and nominations. Way to go!
Visualizing Change Over Time
The EO Dashboard allows users to independently explore indicators, but it relies on visual interpretations to understand what is changing and where. How could the Dashboard do a better job of highlighting significant change, and point the user in the right direction?
Geo - Intelligent Visualization of Earth Systems In Graphical and Historical Timelines (GiveSIGHT)
Summary
GiveSight aims to improve the current EO dashboard by highlighting the significant changes of the COVID-19 Pandemic through visualizations and guided insight for the prospective users. The proposed dashboard is intended to visualize economic proxies through nightlights, economic activities, and the lock-down timeline in the Philippines. Through the improved dashboard, the users will be able to quickly understand the most significant changes occurring in the country throughout the pandemic history.
How I Addressed This Challenge
As engineering students and professionals, the team wishes to understand the effect of the lock-down policies on different aspects of the country at the local level. We hope to give access to complex instruments for academic and professional applications.
“...Agriculture, Forestry, and Fisheries, the agriculture, forestry, and fisheries (AFF) sector is pivotal in generating employment for about a third of the country’s labor force, thereby reducing poverty and inequality for three-fourths of the poor who are in the rural areas” https://www.da.gov.ph/mandate/
We hope to make complex tools available for academic and professional applications with suggested insights or further study.
We hope to monitor food security, by mapping local resources for policy planning and development. This exercise has also shown us severe local data limitations.
We hope to identify economic proxies for crisis monitoring and contingency planning. Initial research has shown that night light and community mobility have the potential for this. However, we do recognize the limitations of penetration and reach of these are highly dependent on modern infrastructure.
1.Democratize access - allowing the use of complex tools for academic and professional applications
2.Food security - mapping local resources for policy planning and development - local data limitation
3.Economic proxies - for crisis monitoring and contingency planning - night lights and mobility
How I Developed This Project
The team is from the Philippines and having One of the World’s Longest Covid-19 Lockdowns (https://time.com/5945616/covid-philippines-pandemic-lockdown/), this inspired us to choose the challenge Visualizing Change Over Time.
As a team of engineering students and professionals, we started by looking at the tools with a fresh set of eyes. We want to visualize the changes in economy and mobility in relation to the local policies on lockdown. We also wanted to see the impact of restrictions across the Philippines. To highlight the most severe restrictions, we focused on the National Capital Region and Cavite, Laguna, Rizal, and Bulacan. The greater area, dubbed “NCR+” came to prominence after the first-quarter surge, wherein the government included the nearby provinces in the coverage. (https://www.cnnphilippines.com/news/2021/3/22/Explainer-GCQ-bubble-NCR-plus.html) This goes against the previous year where most restrictions were levied on NCR, while the rest remained in general quarantine.
On the indicator, each region corresponds to different colors. Each color indicates the type of Community quarantine.
GCQ – Green
MGCQ – Yellow
MECQ – Orange
ECQ – Red
The data covers four types of Community Quarantine in the Philippines and each type has a level of strictness in policy and restrictions. The data below are the description for each of the community quarantine types.
There were difficulties in the setting up of the environment at the start and was eventually overcome, though one member was not able to run it locally. Once the environment was set up and assets pulled, the other members of the team were able to edit and commit changes to the project branch. It was noticeable that loading the dashboard locally took some time as the Node Package Manager (NPM) took time to run each instance.
The team completed the development using Windows and Linux operating systems, with RAM between 8 and 16GB. Development was done using Visual Studio Code and We used Google Suite (Docs, Slides) for collaborative work.
We look forward to continuing the development of our dashboard to include agricultural production data. There have been limitations to the data currently available which hinder us from including in this version of the dashboard.
How I Used Space Agency Data in This Project
We began to look for ways to monitor food security, economic activity and mobility through government data, remote sensing and online monitoring tools.
GiveSight makes use of the data from the space agencies centered around night lights and crop yield, as possible economic proxies. Combined with data gathered from the local sources, the team has created visualizations of the impact of COVID-19 to encourage users to develop insights through the economic activities. We hope this helps solve the challenges due to the lockdown by highlighting these changes and making them available to the right users.
GiveSight also allows use for academic exercise in tertiary education, providing snapshots of the country. While the data is up-to-date it can also be used for guiding public policy.
Project Demo
Slide presentation: https://bit.ly/GIVeSIGHT
Github Repository: https://github.com/givesight/eodash/tree/givesight
Earth Observing Dashboard Integration
The team began working with the EO Dashboard by cloning the repository. Indicators were added according to available data. The visualization serves as economic proxies along with recommendations for analysis on the side bar.
GiveSight’s solution has been developed from the main branch and could easily be integrated into the EO Dashboard.
The team has successfully run the dashboard locally for the duration of the challenge.
Data & Resources
For the Night lights data, It is used to monitor the mobility and economic movement in the Philippines.
Source:
Another proxy for economic activity: Google Mobility Reports.
Source: https://www.google.com/covid19/mobility/
For the Lockdown timeline in the Philippines, Our group gathers the data through Inquirer net and Wikipedia. The collected data used to show the series of Lockdowns happening in the Philippines. Also, to know the exact date or month to be available to correlate this into other data and inform the user of the different lockdown policies implemented in the Philippines.
Source :
https://newsinfo.inquirer.net/1406004/timeline-one-year-of-covid-19-in-the-philippines
https://en.wikipedia.org/wiki/COVID-19_community_quarantines_in_the_Philippines
https://www.officialgazette.gov.ph/downloads/2021/04apr/20210415-OMNIBUS-RRD.pdf
Our group collected the data through PSA or the Philippines Statistic Authority for the data in labor and employment. The data is open for all, and the netizen can use it. This data is used to correlate it to the series of Lockdowns if there’s an effect on the employment rate, unemployment rate, and underemployment rate. The same goes for GDP and Inflation rate data. This data is to demonstrate how COVID -19 impacts the economy, specifically on the Labor force in the Philippines.
Source: https://psa.gov.ph/
For the Covid Data, the data is from the article of Coronavirus Pandemic (COVID-19) on Our World In Data website. The purpose of the data is to visualize how many new cases and deaths are in a single day. This is to align with the lockdown timeline data.
Tags
#PH, #mobility, #economicproxy, #givesight, #changes, #visualization, #economic, #multilayers, #lockdown, #agriculture, #nighlights
Judging
This project has been submitted for consideration during the Judging process.