Visualization Tool for NYC Open Data - A Time Lapse Analysis
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.
Authors
- Anran Yuan
- Guang Wei Too
- Roberto Rojas‐Cessa (ORCID: https://orcid.org/0000-0001-6075-9869)
- Ziqian Dong (ORCID: https://orcid.org/0000-0003-3937-1311)
- Yihan Xu (ORCID: https://orcid.org/0009-0003-4669-4757)
- Huanying Gu (ORCID: https://orcid.org/0009-0005-9510-6696)
Institutions
- New Jersey Institute of Technology (US)
- New York Institute of Technology (US)
Publication Details
- Published
- 2025-04-20
- DOI
- https://doi.org/10.1109/sustech63138.2025.11025565
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation