Galjak, Nenad

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  • Galjak, Nenad (1)
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Analysis of Cartographic Generalization based on PYTHON Programming Language on Digital Topographic Maps

Stojanović, Marko; Drobnjak, Siniša; Jovanović, Jasmina M.; Galjak, Nenad; Vučićević, Ana

(SciTePress, 2020)

TY  - CONF
AU  - Stojanović, Marko
AU  - Drobnjak, Siniša
AU  - Jovanović, Jasmina M.
AU  - Galjak, Nenad
AU  - Vučićević, Ana
PY  - 2020
UR  - https://gery.gef.bg.ac.rs/handle/123456789/1022
AB  - Cartographic generalization is a creative process of abstraction, which is used in the design and content preparation of topographic maps. It includes the study of the geographic environment, processing of geographic data, and an evaluation with regard to type, purpose, and scale of the map, or selecting and merging their graphical presentation, with a big or small degree of abstraction. In the era of digital cartography more attention is paid to developing tools for automatic generalization of cartographic content. In this paper, automatic cartographic generalization is analyzed based on PYTHON programming language for production of digital topographic map scale 1:50 000 (DTM50) from digital topographic map scale 1:25 000 (DTM25).
PB  - SciTePress
C3  - Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM 2020)
T1  - Analysis of Cartographic Generalization based on PYTHON Programming Language on Digital Topographic Maps
SP  - 191
EP  - 198
DO  - 10.5220/0009396501910198
UR  - https://hdl.handle.net/21.15107/rcub_gery_1022
ER  - 
@conference{
author = "Stojanović, Marko and Drobnjak, Siniša and Jovanović, Jasmina M. and Galjak, Nenad and Vučićević, Ana",
year = "2020",
abstract = "Cartographic generalization is a creative process of abstraction, which is used in the design and content preparation of topographic maps. It includes the study of the geographic environment, processing of geographic data, and an evaluation with regard to type, purpose, and scale of the map, or selecting and merging their graphical presentation, with a big or small degree of abstraction. In the era of digital cartography more attention is paid to developing tools for automatic generalization of cartographic content. In this paper, automatic cartographic generalization is analyzed based on PYTHON programming language for production of digital topographic map scale 1:50 000 (DTM50) from digital topographic map scale 1:25 000 (DTM25).",
publisher = "SciTePress",
journal = "Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM 2020)",
title = "Analysis of Cartographic Generalization based on PYTHON Programming Language on Digital Topographic Maps",
pages = "191-198",
doi = "10.5220/0009396501910198",
url = "https://hdl.handle.net/21.15107/rcub_gery_1022"
}
Stojanović, M., Drobnjak, S., Jovanović, J. M., Galjak, N.,& Vučićević, A.. (2020). Analysis of Cartographic Generalization based on PYTHON Programming Language on Digital Topographic Maps. in Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM 2020)
SciTePress., 191-198.
https://doi.org/10.5220/0009396501910198
https://hdl.handle.net/21.15107/rcub_gery_1022
Stojanović M, Drobnjak S, Jovanović JM, Galjak N, Vučićević A. Analysis of Cartographic Generalization based on PYTHON Programming Language on Digital Topographic Maps. in Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM 2020). 2020;:191-198.
doi:10.5220/0009396501910198
https://hdl.handle.net/21.15107/rcub_gery_1022 .
Stojanović, Marko, Drobnjak, Siniša, Jovanović, Jasmina M., Galjak, Nenad, Vučićević, Ana, "Analysis of Cartographic Generalization based on PYTHON Programming Language on Digital Topographic Maps" in Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM 2020) (2020):191-198,
https://doi.org/10.5220/0009396501910198 .,
https://hdl.handle.net/21.15107/rcub_gery_1022 .
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