Static Representation Exposing Spatial Changes in Spatio-Temporal Dependent Data

Hiroki CHIBA  Yuki HYOGO  Kazuo MISUE  

IEICE TRANSACTIONS on Information and Systems   Vol.E101-D   No.4   pp.933-943
Publication Date: 2018/04/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2016IIP0021
Type of Manuscript: Special Section PAPER (Special Section on Intelligent Information and Communication Technology and its Applications to Creative Activity Support)
Category: Elemental Technologies for human behavior analysis
spatio-temporal data,  geovisualization,  information visualization,  static representation,  spatial changes,  

Full Text: PDF(2.7MB)
>>Buy this Article

Spatio-temporal dependent data, such as weather observation data, are data of which the attribute values depend on both time and space. Typical methods for the visualization of such data include plotting the attribute values at each point in time on a map and displaying series of the maps in chronological order with animation, or displaying them by juxtaposing horizontally or vertically. However, these methods are problematic in that they compel readers interested in grasping the spatial changes of the attribute values to memorize the representations on the maps. The problem is exacerbated by considering that the longer the time-period covered by the data, the higher the cognitive load. In order to solve these problems, the authors propose a visualization method capable of overlaying the representations of multiple instantaneous values on a single static map. This paper explains the design of the proposed method and reports two experiments conducted by the authors to investigate the usefulness of the method. The experimental results show that the proposed method is useful in terms of the speed and accuracy with which it reads the spatial changes and its ability to present data with long time series efficiently.