Abstract

The amount of geospatial data that are daily generated through mobile phones, GPS and other technologies, could help in the process of decision-making. We can find datasets with several attributes associated with specific geographic coordinates, such as open government, meteorological and social network data. The visual exploration of such data facilitates to communicate how different attributes correlate to geographical locations by layering these attributes over maps. However, the analysis and knowledge discovery of several attributes associated with a specific location is not a trivial task. In this scenario, we introduce GeoMultiVis, a set of interactive visualizations that combines multivariate data and geospatial localization. It integrates a map with clustered charts and coordinated multiple views, offering a way to interactively apply different filters and analyze several attributes, updating all the related visual representations. We demonstrate its applicability through three real-cases studies. Our main contribution is the interactive visualizations to support the visual analysis of geospatial multivariate data and its application to real cases, helping to find patterns and insights that could support decisions makers to improve social issues in the future.

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GeoMultiVis: helping decision-making through Interactive Visualizations from Geospatial Multivariate Data

The amount of geospatial data that are daily generated through mobile phones, GPS and other technologies, could help in the process of decision-making. We can find datasets with several attributes associated with specific geographic coordinates, such as open government, meteorological and social network data. The visual exploration of such data facilitates to communicate how different attributes correlate to geographical locations by layering these attributes over maps. However, the analysis and knowledge discovery of several attributes associated with a specific location is not a trivial task. In this scenario, we introduce GeoMultiVis, a set of interactive visualizations that combines multivariate data and geospatial localization. It integrates a map with clustered charts and coordinated multiple views, offering a way to interactively apply different filters and analyze several attributes, updating all the related visual representations. We demonstrate its applicability through three real-cases studies. Our main contribution is the interactive visualizations to support the visual analysis of geospatial multivariate data and its application to real cases, helping to find patterns and insights that could support decisions makers to improve social issues in the future.