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Visualizing trajectories will enhance user experience. Visualization of thousands of trajectories will drastically slow down the system response if not handled properly.
First, trajectories needs to be compressed by resampling with respect to temporal and spatial dimension. The resolution of both dimension will depend on bounding box of user's current map view.
Second, if needed, trajectories can be clustered (grouped) to summarize the same type of data.
For spatial resolution, 5KM x 5KM (KM depends on map view) hexagonal grids can be used to descale the spatial dimension of trajectories.
The text was updated successfully, but these errors were encountered:
Visualizing trajectories will enhance user experience. Visualization of thousands of trajectories will drastically slow down the system response if not handled properly.
First, trajectories needs to be compressed by resampling with respect to temporal and spatial dimension. The resolution of both dimension will depend on bounding box of user's current map view.
Second, if needed, trajectories can be clustered (grouped) to summarize the same type of data.
For spatial resolution, 5KM x 5KM (KM depends on map view) hexagonal grids can be used to descale the spatial dimension of trajectories.
The text was updated successfully, but these errors were encountered: