1887
PDF

Abstract

SUMMARY

The process of digitalization of the state, including the development of the national spatial data infrastructure, promotes new requirements for the creation of intelligent core reference data based on international and harmonized national standards and specifications. The main result is digital topographic maps in topographic-geodetic and cartographic production in the cartographic paradigm, that do not take into account the use of new associated features, the rules of the digital description of topographic features, and the rules of topological relationships between map features. Digital topographic maps have a unified content following the Classifier of the information displayed on topographic maps of scales 1:10 000 – 1:1 000 000. This Classifier was developed according to the rule: a feature has its own symbol and topographic code. Geoinformation technologies allow creating of complex features. Therefore, the goal of the research is to formulate the rules for creating complex (associated) geospatial features to ensure the intellectual level of topographic databases, which are the main product of the geoinformation paradigm. The article presents the concept of a complex (associated) feature based on the national standard DSTU ISO 19107:2017 Geographic information. Spatial schema (ISO 19107:2003, IDT). There are four types of collections of terrain objects that are considered in detail: geometric aggregates, geometric complexes, geometric composites, and global geometric complexes. Examples of features displayed on digital topographic maps were given for these types. The established rules for creating associated geospatial features must be taken into account during the development of the specifications of geoinformation products to ensure further compatibility and integration of core reference and thematic geospatial data in the NSDI.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.2022590017
2022-10-03
2024-04-28
Loading full text...

Full text loading...

/deliver/fulltext/2214-4609/2022/geoterrace-2022/Geoterrace-2022-017.html?itemId=/content/papers/10.3997/2214-4609.2022590017&mimeType=html&fmt=ahah

References

  1. Cao, Y., Huang, Y., Chen, J., & Sheng, Y. (2018). Geographic process modeling based on geographic ontology.Open Geosciences, 10(1), 782–796.
    [Google Scholar]
  2. Clementini, E., & Ippoliti, E. (2013). Automatic extraction of complex objects from land cover maps. In Geographic Information Science at the Heart of Europe (pp. 75–93). Springer, Cham.
    [Google Scholar]
  3. DSTU ISO 19107:2017 Geographic information. Spatial schema (ISO 19107:2003, IDT).
    [Google Scholar]
  4. Karpinskyi, Y., & Drozdivskyi, O. (2005). Main principle of construction of base model of a road system in international standard GDF 4.0.Collection of scientific papers “Modern achievements of geodesic science and industry”, 302–306. (In Ukrainian).
    [Google Scholar]
  5. Karpinskyi, Y., Lyashchenko, A., & Runec, R. (2010a). Reference model of the topographic database.Visnyk of Geodesy and Cartography, 2, 28–36. (In Ukrainian).
    [Google Scholar]
  6. Karpinskyi, Y., Lyashchenko, A., & Runec, R. (2010b). Unification of structure, encoding rules and digital description of vector models in topographic databases.Visnyk of Geodesy and Cartography, 5, 35–41. (In Ukrainian).
    [Google Scholar]
  7. Lazorenko-Hevel, N., Karpinskyi, Y., & Kin, D. (2021). Some peculiarities of creation (updating) of digital topographic maps for the seamless topographic database of the main state topographic map in Ukraine.Geoingegneria Ambientale e Mineraria, 162(1), 19–24. doi:10.19199/2021.1.1121‑9041.019
    https://doi.org/10.19199/2021.1.1121-9041.019 [Google Scholar]
  8. Lazorenko-Hevel, N., Kin, D., & Karpinskyi, Y. (2020). Some aspects of the edge matching method of digital topographic maps in the scale of 1: 50 000 for creation the main state topographic map. In International Conference of Young Professionals «GeoTerrace-2020» (Vol. 2020, No. 1, pp. 1–5). European Association of Geoscientists & Engineers. doi:10.3997/2214‑4609.20205758
    https://doi.org/10.3997/2214-4609.20205758 [Google Scholar]
  9. Lyashchenko, A., & Runec, R. (2008). An ontological approach to creating a catalog of topographic data base.Engineering geodesy, 54, 116–123. (In Ukrainian).
    [Google Scholar]
  10. Pantazis, D. N., Lazarou, E., Stratakis, P., Gadolou, H., Koukofikis, A., & Kassoli, M. (2011). Geographic objects: Theory or technology driven.ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 3821, 103–108.
    [Google Scholar]
  11. Stefanakis, E. (2003). Representation of generalized map series using semi-structured data models.Cartography and Geographic Information Science, 30(1), 51–68.
    [Google Scholar]
  12. Steiniger, S., & Weibel, R. (2007). Relations among map objects in cartographic generalization.Cartography and Geographic Information Science, 34(3), 175–197.
    [Google Scholar]
  13. Weibel, R., & Dutton, G. (1999). Generalising spatial data and dealing with multiple representations.Geographical information systems, 1, 125–155.
    [Google Scholar]
  14. Varanka, D. E. (2011). Ontology patterns for complex topographic feature types.Cartography and Geographic Information Science, 38(2), 126–136.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.2022590017
Loading
/content/papers/10.3997/2214-4609.2022590017
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error