KARTOGRAFISCH TIJDSCHRIFT 2OOO-XXVT-4 Literatuur Andrienko, G.L. N.V. Andrienko (1998), Interactive maps for visual data exploration. Gepresenteerd op de bijeenkomst van de ica Commission on Visualization, Warsaw, Polen, http://allanon.gmd.de/and/icavis/ (4 april 2000). Baudouin, A. (1987), Klasseinndeling i kartografi. Kart og plan47(3), pp. 321-326. Bertin, J. (1981), Graphics and graphic information processing. Berlin: Walter de Gruyter. Bertin, J. (1983), A new look at cartography. In: Taylor, D.R.F. (ed.), Graphic communication and design in contem- porary cartography. Chichester: Wiley, pp. 69-86. Bertin, J. (1983b), Semiology of graphics; diagrams, networks, maps. Madison: University of Wisconsin Press. Declercq, F.A.N. (1995), Choropleth map accuracy and the number of class intervals. In: Proceedings rjth International Cartographic Conference, Barcelona: ica, pp. 918-922. Dent, B.D. (1996), Cartography: Thematic map design. Du- buque: Brown. Evans, I.S. (1977), The selection of class intervals. Transac- tions ofthe Institute of British Geographers, 2(1), pp. 98-124. Jenks, G.F. (1963), Generalization in Statistical mapping. Annais of the Association of American Geographers, 53, pp. 15- 26. Jenks, G.F. (1977), Optimal data Classification for choro pleth maps. Occasional Paper No. 2, Department of Geo- graphy University of Kansas Lawrence, Kansas. Jenks, G.F. F.C. Caspall (1971), Error on choroplethic maps: definition, measurement, reduction. Annais ofthe Asso ciation of American Geographers, 61(2), pp. 217-244. Ormeling, F.J. M.J. Kraak (1993), Kartografie: Visualisatie van ruimtelijke gegevens. Delft: Delftse Universitaire Pers. Lindberg, M.B. (1990), A Turbo Pascal unit for optimal partitions. Computers and Geosciences, 16(5), pp. 717-732. MacEachren, A.M. (1995), How maps work: representation, visualization and design. New York: Guilford Press. MacEachren, A.M. J.H. Ganter (1990), A pattern identi- fication approach to cartographic visualization. Cartogra- phica, 27(2), pp. 64-81. Monmonier, M. (1991), How to lie with maps. Chicago: Uni versity of Chicago Press. Summary J.K. Rad - The accuracy of classified maps. Keywords: thematic mapping, Classification of quantitative data, visualisation Classified choropleth maps are used both in order to communicate particular known geographies and to explore unknown geograph- ies. In both cases, it is important that information about the Clas sification accuracy is given. Using an accurate classified map re- duces the probability that the map enhance an impression of geo- graphical dijferences that only to a small extent is present in the data, or that the map hides dijferences that indeed is present in the data. If users of a GIS or cartographic Software are informed about how accurate the current Classification is, than they are better equipped in making maps functioning as sources for geographical knowledge rather than geographical nonsense. Resume J.K. Rod - L 'exactitude des cartes classifiees. Mots-cles: cartographie thematique, Classification des donnees quantitatives, visualisation Les cartes choroplethes servent tout autant decrire qudecou- vrir les structures de l'espace. Dans les deux cos il est important de fournir des indications sur la marge d'erreur des classifications uti- lisees. L 'utilisation d'une Classification statistiquement precise re- duit le risque de creer des dijferences geographiques qui ne seraient pas presentes dans les donnees oü d'effacer des dijferences reelles qui seraient presentes. En infiormant les utilisateurs des SIG ou de programmes de cartographie sur la precision des classifications qu 'ils utilisent on contribuera a leur fournir des outils capables de creer des connaissances plutot que des non-sens geographiques. 51

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Kartografisch Tijdschrift | 2000 | | pagina 57