NYC Tree Health — Data Visual Analytics

Machine learning + D3.js choropleth analysis of tree equity.
NYC Tree Health preview

Overview

We combined Decision Trees, Random Forests, and clustering with an interactive D3 map to explore how tree condition relates to neighborhood factors. City planners can toggle layers to target equitable interventions.

Highlights

  • ~700k street tree records joined with ACS census tract features.
  • Interactive borough filters; tract-level drilldown with health histograms.
  • Model evaluation (MSE, R²) and scenario exploration.

Demo