Search
Now showing items 1-8 of 8
Strategic Initiatives for Flow Visualization in Environmental Sciences
(The Eurographics Association, 2016)
Flow plays a big role in the environmental sciences, but there are major differences between theoretically available and practically applied visualization techniques. This paper surveys various techniques in computational ...
Spatial Aggregation of Mobile Transect Measurements for the Identification of Climatic Microenvironments
(The Eurographics Association, 2015)
Mobile transect measurements retrieve high-resolution observations revealing the spatial variation of atmospheric properties throughout an urban landscape. A sensor platform is moved through a study site with varying urban ...
EnVirVis 2017: Frontmatter
(Eurographics Association, 2017)
WebGL-based Geodata Visualization for Policy Support and Decision Making
(The Eurographics Association, 2014)
Accessible data visualizations are crucial to reaching a wide audience and supporting the decision making processes. With increasing support of WebGL and the new HTML5 standard, the Internet becomes an interesting platform ...
A Collaborative Web-Based Environmental Data Visualization and Analysis Framework
(The Eurographics Association, 2015)
We present an environmental data visualization framework that features synchronous and asynchronous multi-user interaction with all the benefits of modern web-based applications, such as easy accessibility and cross-platform ...
Frontmatter: EnvirVis 2015 Workshop on Visualisation in Environmental Sciences
(Eurographics Association, 2015)
A Data-Driven Approach to Categorize Climatic Microenvironments
(The Eurographics Association, 2016)
In urban climatology, identifying areas of similar microclimatic conditions helps to relate fine-scale urban morphology variations to their impact on atmospheric surroundings. Mobile transect measurements yield high-resolution ...
Using K-Means Clustering for a Spatial Analysis of Multivariate and Time-Varying Microclimate Data
(The Eurographics Association, 2013)
In this study, we propose a k-means clustering algorithm combined with glyph-based encoding method to analyze the spatial distribution and dependence of multivariate, time-varying 3D microclimate data. We obtained five ...