One can mention mainly GeoDa a free, open source, cross-platform software program that serves as an introduction to exploratory spatial data analysis.
GeoDa Center for geospatial analysis and computation is another provider of geovisual analytics software with linked view. GeoViz Toolkit is one of the user-friendly desktop applications that were developed by GeoVista Center of The Pennsylvania State University. The rising popularity of the (geo)visual analytics in the research, education and also among the general public supports the development of specialized complex software tools, either desktop or web-based. It is worth to notice that the time component holds at least the same importance as space within the geovisual evaluation of the phenomena. The end goal of the investigation using geovisual analytics techniques should be oriented on the dissemination of results to decision makers while providing the succinct communication of the interpretations made by analysts. Geovisual analytics is then described as the science of analytical reasoning and decision-making with geographic information, facilitated by interactive visual interfaces, computational methods, and knowledge construction, representation and management strategies. Nowadays, most of the data also contain the spatial component, so the traditional visual analytics needs to be enhanced, and the new sub-discipline called geovisual analytics emerges. To meet these goals, research methods of visual analytics identify three major directions that focus on the analytical reasoning (1) visual representation and interaction (2) data representations and transformations and (3) production, presentation and dissemination of results. The goal of visual analytics is to make the processes of data elaboration, information gathering and knowledge generation transparent to tool users. A more sophisticated description of this emerging scientific field describes the complexity and the dynamic nature of the area more appropriately as it combines automated analysis techniques with interactive visualisations for an effective understanding, reasoning and decision making on the basis of very large and complex datasets. By visual analytics, it is usually meant the science of analytical reasoning facilitated by interactive visual interfaces. The scientific field and theory of visual analytics is capable of fulfilling these requirements. The increasing amount of (geo)data and their complexity coerced into the need for complex tools and methods that enable the connection of computing power of information technologies and the human reasoning. It can help to understand not only the spread or location of the disease, but it can also address potential environmental and/or social factors that cause the higher occurrence of the disease. The exploration of the spatial distribution of diseases and their patterns became the relevant research in both, medical sciences and geosciences.
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