SuAVE: a new online system for visual analysis of surveys and image collections


On 21 February, 15:00, Director of Spatial Information Systems Laboratory, Ilya Zaslavsky will give a speech on the topic SuAVE: a new online system for visual analysis of surveys and image collections, at Ilia State University room E207. 

SuAVE: a new online system for visual analysis of surveys and image collections Survey Analysis via Visual Exploration (SuAVE, is a free online system developed with support from the U.S. National Science Foundation. It has been already used in several areas, including social and electoral surveys, visual arts and humanities, biology and ecology, and the
geosciences. The SuAVE tool integrates visual, statistical and cartographic analyses and presents an intuitive framework for exploration of surveys and image collections, enabling custom searches, efficient analysis of subsets of data, and Google Maps-like navigation over a gallery of images or survey respondents. Users can publish their own surveys online, annotate patterns they discover, and share those annotations. Tools like SuAVE can help communicate scientific knowledge and develop insights
through guided exploration of relationships between different variables, while engaging students and a broad user audience in sharing their findings. We will present several SuAVE applications, including examples from archaeology and humanities, and international development, and discuss other relevant projects developed with the NSF EarthCube initiative.

Dr. Ilya Zaslavsky is director of Spatial Information Systems Lab at the San Diego Supercomputer Center, University of California San Diego. His research focuses on distributed information management systems and spatial and temporal data integration. Zaslavsky received his Ph.D. from the University of Washington (1995), and earlier a Ph.D. equivalent from the Russian Academy of Sciences (1990). He has been leading design and technical development in several large cyberinfrastructure
projects supported by NSF, including the national-scale EarthCube CINERGI/Data Discovery Hub, and Hydrologic Information System. He is a co-chair of the OGC/WMO Hydrology Domain Working Group which develops international standards for water data.

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