EcoEquity Inititive

In our increasingly interconnected world, the effects of severe weather events are felt far and wide. However, our team recognized a troubling pattern: the disproportionate impact these events have on low-income communities, exacerbated by the insidious presence of environmental racism. Thus, we embarked on a mission to shed light on this critical issue and inspire action through data-driven insights and advocacy. Our project, "Weather Equity," is a multifaceted exploration that combines data visualization, community engagement, and education to unveil the correlation between severe weather occurrences and socioeconomic disparities. Leveraging cutting-edge technology and robust datasets, we delve deep into the intersectionality of environmental injustice and meteorological phenomena. Through our platform, users are empowered to navigate interactive maps showcasing the stark contrast in vulnerability to severe weather between low-income areas and their affluent counterparts. By overlaying historical weather data with demographic information, we illustrate how environmental racism amplifies the impact of natural disasters, perpetuating cycles of inequality and disenfranchisement. Moreover, "Weather Equity" serves as a catalyst for meaningful dialogue and collective action. Through partnerships with local communities, advocacy groups, and policymakers, we foster discussions aimed at addressing systemic inequities and implementing sustainable solutions. Our project isn't just about raising awareness—it's about driving tangible change and fostering resilience in the face of adversity. As we navigate an era defined by climate uncertainty and social justice movements, "Weather Equity" stands as a beacon of hope and empowerment. Together, we can rewrite the narrative of environmental injustice and build a future where all communities, regardless of income or ethnicity, are equally equipped to weather the storm.

What it does

It takes data from Zillowa pi and tries to map overall housing prices, and then we want to use a weather API to show how those areas have been affected by severe weather and what the effects of the weather were on those areas.