Geographic visualizations always played an important role in human history, especially in the earth sciences, long before
computer visualizations became popular. The earliest examples of geographic visualization even date back to the stone age
with map-like wall paintings depicting the surroundings of our ancestors. Since then cartography, the art and science of map-making,
has evolved continuously until today. This is why computer-based geographic visualization can build upon a large base of established
cartographic knowledge. Well-known examples of static visualizations beyond geographic maps are thematic maps that display
the spatial pattern of a theme such as climate characteristics or population density. Moreover, the use of modern visualization
technology offers many new possibilities for geographical visualization tasks. These visualizations may help to explore, understand,
and communicate spatial phenomena.
Many readers will already have some preconceived ideas of what geographic visualization is about. Nonetheless, to avoid misconceptions,
the most common definitions of the term geovisualization (short for geographic visualization) will be given. The following explanation according to the 2001 research agenda of the
International Cartographic Association (ICA) Commission on Visualization and Virtual Environments is most widely accepted
today: “Geovisualization integrates approaches from visualization in scientific computing (ViSC), cartography, image analysis, information
visualization, exploratory data analysis (EDA), and geographic information systems (GISystems) to provide theory, methods
and tools for visual exploration, analysis, synthesis, and presentation of geospatial data” [528]. Others take a more human-centered view and describe geovisualization as “the creation and use of visual representations to facilitate thinking, understanding, and knowledge construction about geospatial
data” [513] or as “the use of visual geospatial displays to explore data and through that exploration to generate hypotheses, develop problem
solutions and construct knowledge” [473]. There are a few immediate observations from these definitions. It is clear that geovisualization research is a multidisciplinary
task. Since it is the human who uses visualizations to explore data and construct knowledge, effective geovisualization techniques
must above all take the user needs into account.
The chapter is structured as follows. First, the range of possible goals of geovisualization and its driving forces are described
in Sections 6.1 and 6.2, respectively. Then, Section 6.3 looks at some perceptual issues and theoretical results in geovisualization.
The main part of the survey, Section 6.4, covers a variety of suitable visualization methods from map-based and abstract techniques
to animation. It also deals with interaction techniques and combined visual and computational mining of geospatial data. A
number of existing geovisualization environments and tools are described in Section 6.5. Usability issues in the context of
geovisualization, namely user-centered design, results from user studies, and geovisualization that supports group work, are
reported in Section 6.6. The final part of this chapter looks at current and future challenges in geovisualization.