The representational nature of maps, however, is often ignored – what we see when looking at a map is not the word, but an abstract representation that we find convenient to use in place of the world. When we build these abstract representations we are not revealing knowledge as much as are creating it.

Robinson (1952) pointed out some limits to approaching map symbolization and design from a purely artistic viewpoint, as he suggested was the guiding perspective at the time. Maps, like buildings that are designed primarily for artistic impact, are often not functional... Robinson (1952) argued that treating maps as art can lead to "arbitrary and capricious" decisions. He saw only two alternatives: either standardize everything so that no confusion can result about the meaning of symbols, or study and analyze characteristics of perception as they apply to maps so that symbolization and design decisions can be based on "objective" rules... Robinson's dissertation, then, signaled the beginning of a more objective approach to map symbolization and design based on testing the effectiveness of alternatives, an approach that followed the positivist model of physical science. In his dissertation, Robinson cited several aspects of cartographic method for which he felt more objective guidelines were required (e.g., lettering, color, and map design). He also suggested that this objective look at cartographic methods should begin by considering the limitations of human perception. One goal he proposed was identification of the "least practical differences" in map symbols (e.g., the smallest difference in lettering size that would be noticeable to most readers).

Two developments of the past four decades played crucial roles in establishing a research agenda for the study of map symbolization and design. The first was Arthur H. Robinson's dissertation (published as The Look of Maps in 1952), with its call for objective research, and the second was the adoption in the 1970s of a paradigm of cartography as communication science.

Cartography is about representation. This statement may seem obvious, but it has been overlooked in our search for organizing principles for the field. Rather than restricting research in cartography to maps that present well-defined messages (and suggesting a single, map-engineering approach to improving the transmission of these messages, as the communication approach did), attention to maps as spatial representation expands the field.

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During the 1960s and 1970s, when cartographers were embracing the communication model and a behavioral approach to empirical research, psychology was undergoing a revolution in its perspective on what to study and how to study it. Psychologists began to realize that stimulus-response laws do not explain human perception or behavior (any more than the gravity models used by geographers can explain spatial interaction).

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Use of the term visualization in the cartographic literature can be traced back at least four decades (Philbrick, 1953). It was the 1987 publication of a report by the U. S. National Science Foundation, however, that established a new meaning for this term in the context of scientific research (McCormick et al., 1987). The report, produced by a committee containing no cartographers, emphasized the role of computer display technology in prompting mental visualization - and subsequent insight. Scientific visualization has, thus, been defined as the use of sophisticated computing technology to create visual displays, the goal of which is to facilitate thinking and problem solving. Emphasis is not on storing knowledge but on knowledge construction.

Jacques Bertin's books Semiology of Graphics and Graphics and Graphic Information Processing have been stimuli for my own thinking about the representation and analysis of geographic information. I have also used both books as core readings for graduate seminars and they have generated lively discussion and prompted innovative research. I often ask graduate students to consider how cartographic research and practice in the U.S. might be different today if the English edition of Semiology of Graphics had appeared in 1967 (when it was published in French), rather than in 1983. I know that my own work would have been dramatically different if I had encountered these ideas a decade and a half sooner.

Exploring maps as representation forges important links between cartography and a variety of cognate fields concerned with this topic in its various facets (including geographical information systems [GIs] and remote sensing, as well as art, cognitive science, sociology, cognitive and environmental psychology, semiotics, and even the history and philosophy of science).

Cartography as a discipline has a significant stake in the evolving role of maps within systems for scientific visualization, within spatial decision support systems, within hypermedia information access systems, and within virtual reality environments.

The nature of maps and of their use in science and society is in the midst of remarkable change - change that is stimulated by a combination of new scientific and societal needs for geo-referenced information and rapidly evolving technologies that can provide that information in innovative ways. A key issue at the heart of this change is the concept of "visualization."

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Treating cartography as a formal communication system implies that we can improve map communication if we can reduce the filtering or loss of information at various points in the system where in the system should have a positive effect, and an information loss should be impossible to overcome. Most efforts to study cartographic communication have been directed to the middle stages in the system: the cartographer's transformation of selected information into the map and the initial extraction of information from the map by the user.

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 (any data having geospatial referencing).