%0 Journal Article
	%A Jing Zhao and  Yoshiharu Ishikawa and  Chuan Xiao and  Kento Sugiura
	%D 2018
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 144, 2018
	%T Simulation Data Summarization Based on Spatial Histograms
	%U https://publications.waset.org/pdf/10009884
	%V 144
	%X In order to analyze large-scale scientific data, research
on data exploration and visualization has gained popularity. In this
paper, we focus on the exploration and visualization of scientific
simulation data, and define a spatial V-Optimal histogram for
data summarization. We propose histogram construction algorithms
based on a general binary hierarchical partitioning as well as
a more specific one, the l-grid partitioning. For effective data
summarization and efficient data visualization in scientific data
analysis, we propose an optimal algorithm as well as a heuristic
algorithm for histogram construction. To verify the effectiveness and
efficiency of the proposed methods, we conduct experiments on the
massive evacuation simulation data.
	%P 1064 - 1070