- By:
- Liu, Yan ; Dumas, Melissa R
- Page Number:
- 107-120
- Volume:
- 2
- Book Title:
- Spatial Gems Volume 2
- Publication Date:
- July 26, 2024
- Publisher Location:
- Association for Computing Machinery, New York, New York, United States of America
- Conference Name:
- The 4th ACM SIGSPATIAL International Workshop on Spatial Gems (SpatialGems 2022). November 01, 2022. Seattle, Washington, USA.
- Conference Location:
- Seattle, Washington, United States of America
- Conference Sponsor:
- ACM
- View DOI Listing:
- https://doi.org/10.1145/3617291.3617302
Abstract
Heatmap is a common geovisualization method that interpolates and visualizes a set of point observations on a map surface. Most of online web mapping libraries implement a one-pass heatmap algorithm using HTML5 canvas or WebGL for efficient heatmap generation. However, such implementation applies additive operations that accumulate the rendering of point weights on the map surface grid, making it inappropriate for visualizations that require the highlighting of both low and high weights. We introduce textit{hilomap}, an online heatmap algorithm that highlights surface areas where points with both low and high trends are located. An HTML5 Canvas-based reference implementation on OpenLayers is presented and evaluated.
