A predominance map expresses the predominant data category for each geographical entity
and colors are used to differentiate a small number of data categories. In tag maps, many …

Scatterplots are always employed to visualize geographical point datasets, which often
suffer from an overdraw problem due to the increase of data sizes. A variety of sampling …

Flooding is a highly destructive natural disaster affecting millions of people annually,
causing substantial global economic losses. Especially in the Global South, vulnerable …

Smart grids provide a key driver for smart city development. The smart city power supply
data visualization can realize the power characteristic information of various attributes and …

犯罪数据分析与挖掘已成为大数据时代犯罪学研究及现代社会治理的基础手段,
犯罪数据挖掘在揭示犯罪模式, 分析犯罪原因, 评估犯罪防控效果等方面具有重要作用. 首先 …

Hurricane forecast graphics, such as the cone of uncertainty and the hurricane threat
impacts graphics, are provided to assist the general public in assessing their risk and in …

Visualizations have been use to synthesize information and derive insightful discoveries.
Recently, the nature of data have changed and we are now dealing with data that are …

Flooding is the most devastating natural hazard affecting tens of millions of people yearly
and causing billions of USD dollars in damages globally. The people most affected by …

Acquisition and analysis of environmental data are essential to the quality, safety and health
of human life, and typically consist of heterogeneous, multivariate, and spatio-temporal …

Geo-tweet visualization help users know the events that is happening over the space and
time from the tweets or wikipedia while they click on the specified location for a 3D based tag …