Multiple-view strategies for enhanced understanding of dynamic tourist activity through geovisualization at regional and national scales

Abstract

This article is part of research exploring various ways to visualize the complexity of sentient movement in space and time. In this case, visualization focuses on the movement of tourists on the West Coast of the South Island of New Zealand, with some commentary on national tourist activity. Working at the atomistic level of the individual we adopt space, time, and activity (s,t,a) as the three main dimensions of sentient movement, but we emphasize activity as a privileged dimension where visualization is involved. The rationale for this is that when interpreting movements of individuals or crowds, most itineraries either reflect resources in the environment that encourage travel or avoid risk or cause delay, resources ranging from food and water to incoming sunshine or rain. Activity and process is at the heart of most rich movement data-sets, and we suggest that using multiple-view visualization to decode (s,t,a) and environmental patterns opens further avenues for interpreting and communicating dynamic human and animal geographies. To this end, this article focuses on investigating multiple-view geovisualizations through the lens of six groups of multiple views, each of them demonstrating data in a unique way, in order to reveal complex (s,t,a) patterns of rich tourist movement data. An insight-based domain expert user evaluation is discussed at the end of this article.

Visualising Combined Time Use Patterns of Children’s Activities and Their Association with Weight Status and Neighbourhood Context

“…With the increasing availability of accelerometer data and the ease with which locational information can be collected with devices such as Global Positioning System [ 65 ], a time–activity–location diagram will be needed. One solution would be to integrate time geography visualisation approaches [ 40 , 48 , 58 ] with time–activity diagrams.…”

“…Ringmaps offer an innovative, data-driven, and compact way of visualising space, time and activity in association with their contextual settings [ 48 ]. The ringmap is made up of a geographical map in the centre and surrounding rings.…”

Geospatial Analytics for Park & Protected Land Visitor Reservation Data

“…Numerous techniques are available for spatiotemporal data exploration and below we outline several basic, but effective techniques that are viable for PPL management needs. While new sophisticated 3D geovisualization techniques that present the spatial and temporal movements of tourist (Zhao, Forer, Sun, & Simmons, 2013) have been developed, these type of geovisualizations are most appropriate when tracking a visitors movement within a destination. While reservations capture a single tourist's movement from their home to the destination, these paths are usually not complicated, and may not be worth showing.…”

Identifying Staying Places with Global Positioning System Movement Data Using 3D Density-based Spatial Clustering of Applications with Noise

“…A typical method of visualizing 3D spatiotemporal data is space-time path (STP) analysis. (1)(2)(3) Zhao et al used STP to visualize the movement behavior of tourists visiting New Zealand and analyzed which activities (e.g., sightseeing, vacation, and dining) tourists were performing at staying places. (2) Zhao et al visualized Halifax census tract data according to individual daily movement patterns.…”

“…(1)(2)(3) Zhao et al used STP to visualize the movement behavior of tourists visiting New Zealand and analyzed which activities (e.g., sightseeing, vacation, and dining) tourists were performing at staying places. (2) Zhao et al visualized Halifax census tract data according to individual daily movement patterns. (1) Ostermann showed that it was possible to trace the movement paths of park visitors and identify places with a high density of activities by using global positioning system (GPS) location information.…”