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Multi-component quantitative mapping refers to the mapping of two or more variables and is useful in depicting their spatial relationships. Recent developments in map perception, remote sensing, and computer mapping have encouraged cartographers to pay closer attention to multi-component quantitative maps. Five different methods of multi-component mapping considerations are discussed: conventional mapping method, classification method, map overlay/map series method, index mapping method, and bivariate/multivariate analysis method. Whenever applicable, map samples are also included.
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Kang‐Tsung Chang (1982) studied this question.
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