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" "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).
Alan M. MacEachren (born 1952) is an American geographer, Professor of Geography and Director, GeoVISTA Center, Department of Geography, The Pennsylvania State University. He is known for his cross-disciplinary work in the fields of human-centered geographic visualization, scientific and , and in statistics.
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A new view of the role of art and science in cartography is clearly needed. It is probably a mistake to view maps as objects that contain varied amounts of scientific or artistic content for which we must determine an appropriate balance (as both Keates, 1984, and Robinson, 1952, seem to, with Keates arguing for more art and Robinson for more science). Instead, it makes more sense to consider complementary artistic and scientific approaches to studying and improving maps, both of which can be applied to any given cartographic problem. The artistic approach is intuitive and holistic, achieving improvements through experience supplemented by critical examination (where critical examination implies expert appraisal of the results of our cartographic decision-making efforts). It draws on science in using perspective, understanding of human vision, color theory, and so on.
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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.