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Mathematical-Statistical Models and Qualitative Theories for Economic and Social Sciences pp 123–160Cite as

Why We Need Mathematics in Cartography and Geoinformatics?

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Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 104))

Abstract

Cartography and geoinformatics are technical-based which deal with modelling and visualization of landscape in the form of a map. For the given subjects, mathematics is necessary for understanding of many procedures that are connected to modelling of the Earth as a celestial body, to ways of its projection into a plane, to methods and procedures of modelling of landscape and phenomena in society and visualization of these models in the form of electronic as well as classic paper maps. Not only general mathematics, but also its extension of differential geometry of curves and surfaces, ways of approximation of lines and surfaces of functional surfaces, mathematical statistics and multi-criterial analyses seem to be suitable and needful. Underestimation of the significance of mathematical education in cartography and geoinformatics is inappropriate and lowers competences of cartographers and geoinformaticians to solve problems.

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Authors and Affiliations

  1. Faculty of Military Technology, Department of Military Geography and Meteorology, University of Defence, Kounicova 65, 662 10, Brno, Czech Republic

    Václav Talhofer

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  1. Václav Talhofer
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Correspondence to Václav Talhofer .

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Editors and Affiliations

  1. Department of Mathematics and Physics, Faculty of Military Technology, University of Defence, Brno, Czech Republic

    Šárka Hošková-Mayerová

  2. Department of Business Administration, University “G. d’Annunzio” of Chieti-Pescara, Pescara, Italy

    Fabrizio Maturo

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Talhofer, V. (2017). Why We Need Mathematics in Cartography and Geoinformatics?. In: Hošková-Mayerová, Š., Maturo, F., Kacprzyk, J. (eds) Mathematical-Statistical Models and Qualitative Theories for Economic and Social Sciences. Studies in Systems, Decision and Control, vol 104. Springer, Cham. https://doi.org/10.1007/978-3-319-54819-7_10

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  • DOI: https://doi.org/10.1007/978-3-319-54819-7_10

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