Projected Field Similarity for Comparative Visualization of Multi‐Run Multi‐Field Time‐Varying Spatial Data

2018 ◽  
Vol 38 (1) ◽  
pp. 286-299 ◽  
Author(s):  
A. Fofonov ◽  
L. Linsen
Keyword(s):  
Spatial Data ◽  
Time Varying ◽  
Comparative Visualization ◽  
Field Similarity

scholarly journals Entropy Based Information Visualization of Scientific Data

2011 ◽  
Vol 10 (3) ◽  
pp. 61-64 ◽  
Author(s):  
Guoqing Wu ◽  
Yi Cao ◽  
Junping Yin
Keyword(s):  
Spatial Data ◽  
Large Scale ◽  
Scientific Data ◽  
Time Varying ◽  
Radiation Diffusion ◽  
Maximum Information ◽  
Information Measures ◽  
Diffusion Dynamics ◽  
Physics Simulation ◽  
Physical Features

Visualization of large scale time-varying scientific data has been a challenging problem due to their ever-increasing size. Identifying and presenting the most informative (or important) aspects of the data plays an important role in facilitating an efficient visualization. In this paper, an information assisted method is presented to locate temporal and spatial data containing salient physical features and accordingly accelerate the visualization process. Based on information measures, the method adaptively picks up important time steps and sub-regions with the maximum information content so that the time-varying data can be effectively visualized in limited time or using limited resources without loss of potential useful physical features. The experiments on the data of radiation diffusion dynamics and plasma physics simulation demonstrate the effectiveness of the proposed method. The method can remarkably improve the way in which scientists analyze and understand large scale time-varying scientific data

Time-varying Macroeconomic Risk of Real Estate Returns

2016 ◽  
Author(s):  
Felix Schindler ◽  
Bertram Steininger ◽  
Tim Kroencke
Keyword(s):  
Real Estate ◽  
Time Varying ◽  
Macroeconomic Risk ◽  
Real Estate Returns
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