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活动简介

In the previous years, research in environmental sciences has become more and more important as we are faced with increasing problems concerning climate change, water scarcity, pollution of the environment or changes in biodiversity. Visualization of complex monitoring or remote sensing data, or results from simulation of natural phenomena such as groundwater processes or migration of animal species under changing natural conditions is a crucial step for a better understanding of the measured data. It is essential for discovering correlations and communicate research results to the public. However, as data sets are often large and highly heterogeneous, visualization is a complex task. In addition, there are often large differences in the spatial and temporal resolution of data sets, the quality of measurements needs to be validated, inconsistencies between data sets need to found and - if possible - fixed, and multiple data sets might need to be integrated for numerical simulations. The amount of data and the heterogeneity of the information are also key challenges for simulation and the subsequent understanding of research results. Besides applying established visualization techniques to geoscientific data, advances are also made with the help of high-performance computing, virtual reality environments as well as specialized hardware.


The EnvirVis workshop invites contributions with a broad application area in environmental research from both visualization and environmental sciences. Our goal is to raise awareness to the importance of visualisation in geosciences and to establish a forum for interdisciplinary discussions.

征稿信息

重要日期

2016-02-26
摘要截稿日期

征稿范围

Addressed application areas include, but are not limited to

  • Climate research, atmosphere modeling
  • Geology, geography, geophysics
  • Soil and groundwater research
  • Energy resources and waste management
  • Land use research
  • Biodiversity and ecosystem services
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重要日期
  • 会议日期

    06月06日

    2016

    06月07日

    2016

  • 02月26日 2016

    摘要截稿日期

  • 06月07日 2016

    注册截止日期

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