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Area-normalized thematic views

Conference ·
OSTI ID:674591
This paper presents a novel technique for dealing with a classic problem that frequently arises in visualization. Very expressive nonlinear transformations can be automatically generated to correct thematic maps so that the areas of map regions are proportional to the thematic variables assigned to them. This helps to eliminate one of the most commonly occurring visual lies that occurs in information visualization. Thematic variables are commonly used in cartography to encode additional information within the spatial layout of a map. Common examples of thematic variables are population density, pollution level and birth rate. The method is illustrated with two examples, mapping interstate speed limits and presidential election results.
Research Organization:
Los Alamos National Lab., NM (United States)
Sponsoring Organization:
USDOE, Washington, DC (United States)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
674591
Report Number(s):
LA-UR--98-1847; CONF-981118--; ON: DE98002987
Country of Publication:
United States
Language:
English

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