Trajectory Data Visualization on Mobile Devices with Animated Maps

Generate infinite pseudo-random non-periodical cities with arbitrary oriented street network in real time.. Put a single pseudo-random point inside each square of an

Figure 2: The analysis system - a Map Overlays on/off; b Geographic Map View - animated movements (green) and trajectories (red); c Annotations - define and extract areas

A variety of visualization tools are used to investigate the MDS data at different resolutions. Our tool focuses on visualizing time- dependent trajectory MDS data at the atomic

Figure 3: Corresponding frame for: (a) the front Kinect video data displaying the storyteller’s expressions, (b) the top Kinect video data with the current orientations and positions

We propose a multi-scale representation for trajectory data by combin- ing two well-known techniques: (1) multi-scale simplification and tiling for fast coarse-grained data

We present Trajectory Mapper, a system of novel interactive widgets and artist-designed visual encodings to support exploratory multivariate visualization of spatial

First, we manually collected and analyzed 230 data videos in the wild to associate ten common data facts with potential video clips a clip is a visualization animated with a series

Our visualization relies on (1) access to real-time or historic temper- ature data as much as on (2) an accurate and up-to-date 3D floor plan with (3) room semantics, (4)