Visualization Tool for NYC Open Data - A Time Lapse Analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present a web-based tool that maps and visualizes datasets from New York City (NYC) Open Data, specifically on building energy efficiency and fallen trees reported to NYC311, as heatmap or pin map to show building energy efficiency and weather event impact at a neighborhood level over time. To evaluate its effectiveness in addressing climate-related urban challenges, we applied the tool to two case studies from NYC Open Data: the ENERGY STAR Score and Fallen Trees datasets. We demonstrate the heat map function for the ENERGY STAR Score dataset and the use of a combination of heat and pin map functions of the Fallen Trees dataset to highlight spatial and temporal patterns. The interactive visualization tool effectively provides data distribution and trend analysis based on postal codes while also allowing for precise, location-specific insights using longitude and latitude. Beyond its applications in data visualization, the tool can facilitate decision-making in the design of future urban environments.

Original languageEnglish (US)
Title of host publication2025 IEEE Conference on Technologies for Sustainability, SusTech 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Edition2025
ISBN (Electronic)9798331504311
DOIs
StatePublished - 2025
Event12th IEEE Conference on Technologies for Sustainability, SusTech 2025 - Los Angeles, United States
Duration: Apr 20 2025Apr 23 2025

Conference

Conference12th IEEE Conference on Technologies for Sustainability, SusTech 2025
Country/TerritoryUnited States
CityLos Angeles
Period4/20/254/23/25

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

Keywords

  • data visualization
  • Heat map
  • NYC Open Data
  • pin map
  • trend analysis

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