Repository for the 'Covid Cool for School' project
Project web page can be viewed here at: https://arcg.is/0OzuTv0
This project was submitted to the 'COVID-19 Border Communities Data Challenge' and won the challenge.
COVID-19 has impacted the school systems significantly in San Diego County. Since schools are finally opening back up, an important question arises regarding these schools: "Is it covid cool for school?". More formally, the question really means: "based on the conditions that we know today, is it safe enough for children to go back to in-person instructions at their school?"
Our project uses COVID-19 data to analyze the potential risk of opening elementary, middle, and high schools in San Diego. We identified 618 schools in San Diego county and built a classification model using a K-means clustering algorithm that determines the risk of each specific school based on the demographic information of its surrounding area. We used the ArcGIS framework to build interactive web maps to better visualize our data. We also built our 'Covid Cool for School' interactive map to display the distribution of the 618 schools in San Diego county, categorized into their 'risk category' for opening up.
Renaldy Herlim [email protected] (Project Lead)
Benjamin Becze [email protected]
Alex Makhratchev [email protected]
Andrew Chin [email protected]
Samuel Huang [email protected]