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 language | English (US) |
|---|---|
| Title of host publication | 2025 IEEE Conference on Technologies for Sustainability, SusTech 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Edition | 2025 |
| ISBN (Electronic) | 9798331504311 |
| DOIs | |
| State | Published - 2025 |
| Event | 12th IEEE Conference on Technologies for Sustainability, SusTech 2025 - Los Angeles, United States Duration: Apr 20 2025 → Apr 23 2025 |
Conference
| Conference | 12th IEEE Conference on Technologies for Sustainability, SusTech 2025 |
|---|---|
| Country/Territory | United States |
| City | Los Angeles |
| Period | 4/20/25 → 4/23/25 |
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