A collection of awesome spatiotemporal visualization for reference, especially in big data applications.
1. Nanocubes
- Provide real-time visualization of large datasets(like 100,000,000 points)
- Support multiple dimensions, including spatial, temporal and categorical dimensions
- Integrate heatmaps, bar charts and histograms
2. Map-D
- Extremely high efficiency with GPU-accelerated database
- Immerse visual analytics client
- Wide applications in social media, taxi rides, mobile network and so on
3. Aperture Tiles
- Tile-based library to support visualization and interaction for immense data points
- Tailored analytic overlaps are applicable for data at every scale
- High scalability with tile services building on Apache Spark and Haddop
4. Datashader
- Data rasterization pipeline for creating representations of large amounts of data
- Writen in Python with support for Pandas and Dask dataframes
- Suitable for pre-processing stage in a plotting library
More coming soon...