Neighborhoods

    Introduction

      The purpose of this map is to provide a comprehensive visualization of green infrastructure and sewer data at the neighborhood level. Its interactivity allows for the user to select and compare attributes of multiple areas.

    To begin:
    • Select a polygon and view sewer data at the Neighborhood Tabulation Area (NTA) level.
    • – find and select an NTA by full or partial names
    • / / – draw a polygon to select and compare data of multiple NTAs (must be fully within the drawn area)
    • & – edit and delete the selection
    • – change base maps, and add/remove layers
    • – maximize the map, bringing out a collapsable sidebar on the right (this button is turned off on mobile)
    • – pan and zoom the map back to its starting position
    • The tabs at the top (right on mobile) provide access to more information such as NTA properties, bar charts, and contact information.

    Attributes

        Select one neighborhood or multiple neighborhood polygons to view their properties.

    Charts & Graphs

      Use the polygon selector tools to view charts comparing data between selected neighborhoods.

    Pie Charts

      Select a polygon or use the polygon selector tools to view a pie chart comparing the selected neighborhoods' pervious and impervious land areas.

    Information

    Neighborhood Tabulation Areas (NTAs) were created by the Department of City Planning. By aggregating smaller neighborhoods and breaking up larger ones, population data is more normalized and equal across each area. This map uses NTAs from the 2010 census.
    Website updated: April 2024
    Data updated: May 2021
      This web map was written in JavaScript Node.js with the jQuery, Leaflet, Turf, and D3 packages. Basemap imagery provided by Mapbox and OpenStreetMap contributors. The datasets were gathered from various city agencies and compiled using PostgreSQL.
    Data Sources:

    Contacts

      For more information about this application or the data, contact the webpage creator Allan Lu or visit his GitHub at: https://github.com/allan-lu.