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Summary Graphics for Integrated Visualization in Dynamic Cartography

Mark Monmonier · 1992 · 38 citationsRead the paper

Dynamic cartography calls for a single, more cognitively friendly graphic that summarizes salient relationships in an animated sequence of maps. The theory of human information processing suggests that because the human eye-brain system does not instantaneously process patterns from short-term memory through to long-term memory, information presented toward the end of a dynamic cartographic sequence retards the memory and comprehension of information presented earlier in the sequence. Four types of summary graphics hold particular promise as animation supplements: (1) the centrographic time-series map; used since the late 19th century to portray the westward march of the center of the U.S. population; (2) the biplot, a joint, two-dimensional representation of time units and places based upon two principal components; (3) canonical trend-surface analysis, which might extract one or two salient spatial trends, the canonical loadings of which can be plotted in a time-series graph showing when each trend was particularly prominent; and (4) the time-series correlation graph, which reveals temporal variation in the apparent influence of given trends or regionalizations on a particular bivariate correlation. Because an animated sequence of maps can promote understanding of an otherwise complicated summary graphic, the cartographic animation and its summary graphic can be complementary.

1 idea Seedlabs derived from this research

A tool that converts complex time-series network data into a sequential, annotated storyboard to reduce cognitive load. It replaces continuous animations with a series of summary graphics that highlight key structural shifts and salient trends over time.

AI score 86/100