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The creation of cartography model TM100 from DMU25 data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F17%3A00534298" target="_blank" >RIV/60162694:G43__/17:00534298 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/7988766/" target="_blank" >http://ieeexplore.ieee.org/document/7988766/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/MILTECHS.2017.7988766" target="_blank" >10.1109/MILTECHS.2017.7988766</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The creation of cartography model TM100 from DMU25 data

  • Original language description

    The cartographic generalization of topographic maps content is very complicated processes and even now the used processes are not perfect. All topographic maps produced by Military geographic service at this moment are created in program ArcGIS, including generalization of their content. However, generalization procedures were created at the beginning of the 21st century. Current version of ArcGIS enables more automation of generalization; however, the question is what parameters should be automatically set to maintain the character of landscape. That is why many options how to generalize selected layers were tried and then the most suitable one was chosen and made into generalization model. During generalization were mainly used tools from ArcToolbox and for creating generalization models then Model Builder. The main goal of this paper was to describe possibilities how to apply options of current ArcGIS for creating cartographic model of topographic map 1 : 100 000 from data with resolution 1 : 25 000. Generalization of selected layers was processed by generalization models almost automatically according to stated parameters. However, it was not possible to completely eliminate a subjective view. Every parameter was chosen based on cartographer's considerations and it is more than possible that different person would have picked different values. And the results also need visualisation and harmonizing of the features. Therefore, I believe that automating generalization facilitates the whole process creating maps. However, the computing is not advanced enough to completely replace a human factor. That's why I would consider creation of generalization models as a base from which other generalization steps will be made.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50901 - Other social sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Conference Proceedings of ICMT'17

  • ISBN

    978-1-5386-1988-9

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    257-261

  • Publisher name

    IEEE

  • Place of publication

    Piscataway, NJ 08854-4141 USA

  • Event location

    Brno

  • Event date

    Jan 1, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article