Inspiration
The idea for Garden of Crimes stemmed from a curiosity about how urban green spaces, like community gardens, influence social dynamics in neighborhoods. We wanted to explore whether these gardens could have a measurable impact on crime rates, fostering not just environmental benefits but also safer communities.
What it does
Garden of Crimes analyzes the spatial relationship between community gardens and crime incidents in various neighborhoods. By comparing crime data with the proximity of community gardens and considering temporal factors, the project identifies patterns that may indicate a correlation between green spaces and crime reduction.
How we built it
We utilized Python for data analysis, leveraging libraries like pandas for data manipulation, NumPy for numerical operations, and geopy to calculate distances between community gardens and crime incidents. The data was sourced from publicly available datasets on community gardens and crime reports. We implemented algorithms to:
Match crime incidents with the nearest community garden based on geographic coordinates.
Apply temporal filters to ensure relevance (e.g., crime occurring after the establishment of the garden).
Calculate z-scores to standardize and compare crime rates across different areas.
Challenges we ran into
Data Quality: Inconsistent address formats and missing geolocation data required significant cleaning and preprocessing.
Temporal Matching: Aligning crime dates with garden establishment dates to ensure valid comparisons was complex.
Distance Calculations: Efficiently computing distances for large datasets posed performance challenges.
Accomplishments that we're proud of
Successfully integrated multiple datasets to provide meaningful insights.
Developed a robust algorithm that accurately identifies spatial-temporal relationships.
Discovered intriguing patterns suggesting potential crime reduction effects linked to community gardens.
What we learned
The importance of data cleaning and preprocessing in ensuring accurate analyses.
Advanced geospatial analysis techniques and their application in social studies.
The complex interplay between urban design and community well-being.
What's next for Garden of Crimes
Deeper Analysis: Incorporate additional variables such as socioeconomic factors, population density, and types of crimes.
Visualization: Develop interactive maps and dashboards to better communicate findings.
Policy Recommendations: Collaborate with urban planners and policymakers to explore the practical applications of our insights.
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