The visualizations were created using Mapbox GL JS to render interactive data visualizations representing the green-view and sky-view ratios of street view imagery. Additionally, a blue-color gradient basemap illustrates the median household income, allowing for a comparative analysis with the street view image perceptions.
Included in the project is a comprehensive correlation analysis of computer vision metrics derived from the street view imagery. This analysis provides valuable insights into how visual elements of urban areas correlate with economic indicators.
- Mapbox GL JS
- Python for data processing
- GeoJSON for spatial data representation
- Navigate through the interactive maps to see the distribution of green-view and sky-view ratios.
- Click on individual street points to get detailed information about each location's ratios.
- Analyze the correlation between visual metrics and median household income.
- Clone the repository to your local machine.
- Using command prompt to turn on localhost to read through repository since the html has javascript codes.
- Open the
index.htmlfile in a web browser to view the project.
-In short, you can directly check my live website without going through this repo here: https://joshyw698.github.io/DataVis-City_Objective_Perception/