V. Chabaniuk - Institute of Geography of the National Academy of Sciences of Ukraine, Kyiv;
O. Dyshlyk - Institute of Geography of the National Academy of Sciences of Ukraine, Kyiv;
R. Sieber - Institute of Cartography and Geoinformation, ETH, Zurich;
T. Schultz - Swiss Federal Statistical Office FSO, Zurich.
Authors are solving the task to initiate investigations in the field of atlas similarity. Atlas similarity is needed for more appropriate modeling of macro-regional spatial systems which have comparable and un-comparable characteristics also as for the solution of other important tasks. Atlas similarity examples of four types were received by the empirical study: structure datalogical, subject datalogical, structure infological and subject infological. Datalogical notions can be associated with the atlas technological context; infological notions – with the atlas language context. Subject similarity can be associated with the map similarity; structural similarity – with the similarity of atlas relations. Experiments are made with the contents trees and several thematic maps of Atlas of Switzerland, National Atlas of Ukraine and Statistical Atlas of Switzerland. Web-application, demonstrating the results of the study, is created, published and available for the interested readers.
atlas similarity types, structure datalogical, subject datalogical, structure infological and subject infological, Atlas of Switzerland, National Atlas of Ukraine, Statistical Atlas of Switzerland
1. Chabaniuk V., Dyshlyk O. (2015). Atlas Relational Patterns as the Means of Big Data Handling. In 27th Int. Cartographic Conf., Rio-de-Janeiro.
2. Johnson B., Shneiderman B. (1991). Tree-Maps: A Space-Filling Approach to the Visualization of Hierarchical Information Structures. In Proc. of the 2nd Conf. on Visual, 284-291. https://doi.org/10.1109/visual.1991.175815