The journal of the Cartographic society of the Slovak Republic

The journal of the Cartographic Society

of the Slovak Republic

ISSN 1336-5274 (print)
ISSN 2729-8094 (online)

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Jakub KONÍČEK

Identification of evolution, changes and trends in world cartography using methods of computer linguistics and visual analytics

Koníček, J.: Identification of evolution, changes and trends in world cartography using methods of computer linguistics and visual analytics. Kartografické listy, 2020, 28 (2).

Abstract: Cartography is one of the world’s oldest sciences. Over time, it has experienced many changes and developmental stages. Current world social, political and artistic trends and issues are affecting this development. Each of these influences has shaped cartography and cartographic creation into the form as we currently know. It is clear that these developments will be ongoing and that various significant and important changes will occur. However, the evolution of cartography must be thoughtfully managed so that it pursues current trends and remains timeless, otherwise the science may well be very easily reduced to an ancient discipline. The paper presents the developments, changes and trends in world cartography. The main aim was to identify the trends and critical milestones which resulted from these developments in carto-graphy over time. The interests and activities of professional and scientific groups of the International Cartographic Association, the thematic focus of papers presented at International Cartographic Conferences and the critical ideas of cartographic articles in peer-reviewed journals are ideal materials for similar research. Methods of computational linguistics and visual analysis allows the study, identification and presentation of the key milestones which directly affect these materials. This type of knowledge can provide effective assistance in the management of future developments and directions in cartography.

Keywords: International Cartographic Association, International Cartographic Conferences, online academic services, data mining, text analysis, data visualization