RESEARCH USE
Where Datashader fits
Datashader is useful when points, trajectories, or meshes exceed what a browser or conventional plotting library can display directly. It projects data onto a fixed pixel grid, aggregates values within each pixel, and applies explicit transfer and color rules. Keep the canvas bounds, resolution, aggregation function, transforms, and color settings with the analysis.
Research tasks
- Rasterize very large point and trajectory datasets
- Compute pixel-level summaries of gridded or spatial data
- Prepare large-data views for HoloViews, Bokeh, or related tools
What to evaluate before use
- The image is a summary at a chosen resolution and aggregation rule, not a display of every source record.
- Category mixing, saturation, and unsuitable normalization can hide rare patterns; compare with stratified summaries or local subsets.
Verification note
This entry summarizes the tool's role without assessing scientific accuracy or endorsing its outputs. Features and terms can change; consult the official source before adopting it for consequential work.
large-scale datarasterization
Last verified: 2026-09-06
Source: official documentation ↗