Literature v3 · Research topic
Do Leafier Neighborhoods Mean Greener Climate Votes?
Find out if places with more tree cover are also more likely to support climate-friendly policies—using real satellite data and public opinion surveys.
Why this matters
Imagine your neighborhood park not only cools the air but also shapes how your community votes on climate policy. Yet, we know little about whether the green spaces we see on maps actually translate into public will for adaptation. This project bridges that gap by linking satellite-derived greenspace data with survey-based climate attitudes—no lab coat required.
Project scores
Difficulty
This 8-week project is designed for high school students with a curiosity about environmental policy and data analysis. You will learn to work with satellite imagery (e.g., NDVI) and survey datasets, using basic statistical tools (e.g., correlation tests) in Excel or Python. The pace is steady: weeks 1-2 focus on data collection and cleaning, weeks 3-5 on analysis, and weeks 6-8 on interpretation
3 of 5 difficulty
Strengths
- Combines environmental science with social science
- Uses publicly available datasets (satellite and survey)
- Addresses a timely policy-relevant question
Skills built
Zero-cost data
Zero-cost dataResearch gap
Imagine your neighborhood park not only cools the air but also shapes how your community votes on climate policy. Yet, we know little about whether the green spaces we see on maps actually translate into public will for adaptation. This project bridges that gap by linking satellite-derived greenspace data with survey-based climate attitudes—no lab coat required.
Curriculum alignment
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