Interpreting map usage patterns using geovisual analytics and spatio-temporal clustering

Figures & data

Figure 1. (a) A speed map, showing the variable speed of mouse trajectoires. (b) A density map showing the relative mouse interaction. (c) A map showing the stopping locations of a mouse cursor.

Figure 2. The bounding boxes created by a typical user.

Figure 3. An example of a single trajectory projected on to the walls of a STC to produce two graphs describing the trajectory in perpendicular directions over time.

Figure 4. An annotated view of the STC showing the progress of a single mouse trajectory.

Figure 5. Incremental clustering involves two steps: Spatial clustering followed by Behavioural clustering.

Figure 6. Spatial clusters are shown in each task. Task 1 and 2 contain three clusters each.

Figure 9. STC showing the trajectories corresponding to Task 1 Cluster 2. These trajectories correspond to a novice user due to the bursts of high-speed movement which are evident.

Figure 10. The results of incremental clustering applied to mouse trajectories, showing fast and erratic mouse movements in both the latitude and the longitude directions of movement.

Figure 11. The results of incremental clustering applied to mouse trajectories, slow and controlled mouse movements in both the latitude and longitude directions of movement.

Figure 12. Determining the dominant cluster for User 5, User 10, User 19 and User 26.

Table 1. Description of users and classification of their trajectories after incremental clustering.

User	Familiarity with study area	Frequency of mapping tool use	Cluster number	Behavioural classification
User 1	Good	Very rarely	1	Novice
User 2	Fair	Rarely	1	Novice
User 3	Good	Occasional	2	Experienced
User 4	Poor	Very frequent	1	Novice
User 5	Excellent	Very frequent	2	Experienced
User 6	Average	Very frequent	1	Novice
User 7	Poor	Expert	2	Experienced
User 8	Poor	Occasional	1	Novice
User 9	Poor	Very frequent	1	Novice
User 10	Poor	Very frequent	1	Novice
User 11	Good	Very rarely	2	Experienced
User 12	Excellent	Very frequent	1	Novice
User 13	Good	Occasional	1	Novice
User 14	Poor	Very frequent	1	Novice
User 15	Fair	Occasional	1	Novice
User 16	Poor	Very frequent	1	Novice
User 17	Poor	Occasional	1	Novice
User 18	Good	Very frequent	2	Experienced
User 19	Excellent	Very frequent	2	Experienced
User 20	Poor	Very frequent	1	Novice
User 21	Excellent	Very frequent	1	Novice
User 22	Excellent	Very rarely	1	Novice
User 23	Excellent	Very frequent	2	Experienced
User 24	Poor	Very frequent	2	Experienced
User 25	Fair	Very frequent	1	Novice
User 26	Poor	Expert	2	Experienced
User 27	Good	Occasional	1	Novice