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What is Visual Analytics?
It is "the science of analytical reasoning supported by interactive visual interfaces. Today, data is produced at an incredible rate and the ability to collect and store the data is increasing at a faster rate than the ability to analyze it. Over the last decades, a large number of automatic data analysis methods have been developed. However, the complex nature of many problems makes it indispensable to include human intelligence at an early stage in the data analysis process. Visual Analytics methods allow decision makers to combine their human ﬂexibility, creativity, and background knowledge with the enormous storage and processing capacities of today’s computers to gain insight into complex problems. Using advanced visual interfaces, humans may directly interact with the data analysis capabilities of today’s computer, allowing them to make well-informed decisions in complex situations" (from visual-analytics.eu)
To research Visual Analytics use the resources listed below, or go to the list of "Information Resources" in the box on the right.
arXiv.org e-Print archive
arXiv.org (formerly xxx.lanl.gov) is a fully automated electronic archive and distribution server for research papers. Covered areas include physics and related disciplines, mathematics, nonlinear sciences, quantitative biology, computational linguistics, and neuroscience.
Directory of Open Access Journals (DOAJ)
The DOAJ is an index to open access scientific and scholarly journals that use a quality control system to guarantee the content. All subject areas and languages are covered.
The scholarly version of Google. Search for scholarly literature across disciplines and sources: articles, theses, books, abstracts, patents, and court opinions from academic publishers, professional societies, online repositories, universities and other websites. HOWEVER, there are also many "scholarly" journals and sources that aren't really scholarly. You still need to evaluate your results to ensure an item is truly scholarly.