We introduce our generic "GeoAnalytics" visualization (GAV) component toolkit, based on the principles behind visual analytics (VA), for dynamically exploring time-varying, geographically referenced and multivariate attribute data. GAV includes components that supports a mixture of technologies from the three visualization fields; information visualization, geovisualization and scientific visualization. Our research concentrates on improving visual user interfaces (VUI) methods and extends existing visual representation techniques. In this paper, we demonstrate the synergy of integrating a wide range of different methods using multiple-linked views with a rich variety of possible coordination exploration ideas and allowing the user to view the information from different perspectives and try out different scenarios. The effectiveness of our proposed framework is demonstrated in a tailor-made case study assembled from GAV components and explores the supply and use of energy data for controlling the emission of carbon dioxide among 290 Swedish municipality regions during 1990-2004.