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Experimental method in cartographic communication : research on relief maps / Richard J. Phillips in Cartographica, vol 21 n° 1 (Spring 1984)  

Public [article]  inCartographica > vol 21 n° 1 (Spring 1984) . - pp 120 - 128 Titre : Experimental method in cartographic communication : research on relief maps Type de document : Article/Communication Auteurs : Richard J. Phillips, Auteur Année de publication : 1984 Article en page(s) : pp 120 - 128 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] communication cartographique Résumé : (auteur) [introduction] The application of performance testing will never be a routine part of designing a map. Nevertheless, it must be an essential part of any attempt to understand how maps work as communication systems. Theories of cartographic communication need to be supported by evidence. Without data, this year's cartographic theory will soon be dismissed as last year's cartographic fashion. There is no doubt that the effort and expense of properly conducted tests is considerable. Those who doubt their value will most often point to problems of generality. Tests must be conducted with particular maps, with a particular group of map readers, using particular questions, and so how can one possibly say anything about maps in general? However, this is not as serious a problem as many people suppose. Table 1 summarizes some of the main findings about performance on three types of map reading questions. Many of these results have been replicated using different maps and different groups of map readers. For example, there are at least six studies which have compared contour lines with layer tints. By analyzing these it is possible to gain a fairly clear picture of their relative merits. Although there is a need for much more research, data of the kind presented in Table I provide useful information for map designers. It is sometimes said that the type of information presented in Table i is self-evident, but this is simply not true. If you ask cartographers to rank maps in this way they will come up with a number of quite different answers. Without objective test data there can be no consensus on design questions of this kind. Table r is, of course, a simplification but it is not so very far from the truth. For a fuller picture see the original papers and the review by Hopkin and Taylor (1979). Numéro de notice : A1984-103 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/G62R-3822-7413-Q754 En ligne : https://doi.org/10.3138/G62R-3822-7413-Q754 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84321 [article]

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