© 2016, The Visualization Society of Japan. Abstract: Geoscience observation data refer to the datasets consisting of time series of multiple parameters generated from the sensors at fixed locations. Although a few works have attempted to visualize such data, none of them views these data as a specific type and attempts to show the overview in all the space, time and attribute aspects. It is important for domain experts to select the subsets of interest from huge amounts of observation data according to the high level patterns shown in the overview. We present a novel approach to visualize geoscience observation data in a compact radial view. Our solution consists of three visual elements. A map showing the spatial aspect is in the center o...
In recent years, increasingly large and complex data sets about our environment are generated by a v...
In this paper we focus on providing coordinated visual strategies to assist users in performing task...
We are developing a prototype for the visualization of geo-referenced information. The data is organ...
Visual displays are a formidable means of conveying information to the human brain. They facilitate ...
The approach described here facilitates the exploration of time-series of remote sensing data by off...
Technological advances, especially in remote sensing, GPS sensors, and computer vision and camera-ba...
Sensor image repositories are becoming the fastest growing archives of spatio-temporal information a...
The approach described here facilitates the exploration of time-series of remote sensing data by off...
Geoscience data has unique and complex data structures, and its visualization has been challenging d...
In this thesis, we will discuss enhancements for the analysis and visualization of temporal and geos...
Geospatial data has very specific characteristics that need to be carefully captured in its visualis...
Dynamic space-time pattern and potential interesting events in space and time have in practice a muc...
In the paper we focus on the problem of supporting visual exploration of data having spatial and tem...
Fig. 1. Seismic and satellite-based observational data are visualized by our scalable multi-variate ...
The research reported in this paper focuses on integrating analytical and visual methods in order to...
In recent years, increasingly large and complex data sets about our environment are generated by a v...
In this paper we focus on providing coordinated visual strategies to assist users in performing task...
We are developing a prototype for the visualization of geo-referenced information. The data is organ...
Visual displays are a formidable means of conveying information to the human brain. They facilitate ...
The approach described here facilitates the exploration of time-series of remote sensing data by off...
Technological advances, especially in remote sensing, GPS sensors, and computer vision and camera-ba...
Sensor image repositories are becoming the fastest growing archives of spatio-temporal information a...
The approach described here facilitates the exploration of time-series of remote sensing data by off...
Geoscience data has unique and complex data structures, and its visualization has been challenging d...
In this thesis, we will discuss enhancements for the analysis and visualization of temporal and geos...
Geospatial data has very specific characteristics that need to be carefully captured in its visualis...
Dynamic space-time pattern and potential interesting events in space and time have in practice a muc...
In the paper we focus on the problem of supporting visual exploration of data having spatial and tem...
Fig. 1. Seismic and satellite-based observational data are visualized by our scalable multi-variate ...
The research reported in this paper focuses on integrating analytical and visual methods in order to...
In recent years, increasingly large and complex data sets about our environment are generated by a v...
In this paper we focus on providing coordinated visual strategies to assist users in performing task...
We are developing a prototype for the visualization of geo-referenced information. The data is organ...