Widespread use of GPS terminals has made it possible to collect geospatial movement data, and visualization is an effective method to understand such data. However, for large scale movement analysis, because the data set includes complex movements of individuals, it is difficult to understand using naive visualization methods. In order to solve this problem, we developed a visualization technique that can represent large scale movement data in an aggregate manner. This visualization technique has two representations: “amoeba representation” and “amoeba colony representation.” Amoeba representation represents the distance moved from a point in any direction with map scale in a geographical space, and amoeba colony representation represents movements over a wide geographical space.

In order to prevent rain disasters bringing serious damage, it is important to grasp the situation and understand the expansion of the rain area. We developed a technique of expressing the area where rain falls and the direction of movement of the affected area. This technique is based on rain mesh data and uses a still image. The developed technique expresses the direction with arrows and shows the values of rainfall or rainfall accumulation with colors. Therefore, it is possible to express the rain data (which is time-series data with location information) using a still picture, without being dependent on animation. Using this technique, it becomes easy to perform decision-making and communication of information between fire brigade members.