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Verifying and improving map specifications of river network selection for automatic generalization of small-scale maps Cover

Verifying and improving map specifications of river network selection for automatic generalization of small-scale maps

By: Iga Ajdacka and  Izabela Karsznia  
Open Access
|Sep 2022

References

  1. Brewer, C. A., Buttenfield, B. P., & Stanislawski, L. V. (2011). Choosing between Geometry Change and Display Change for Multiscale Mapping—The Role of Elimination in Design. Proceedings of the 25th International Cartographic Conference, Paris, France, 3–8 July. https://icaci.org/files/documents/ICC_proceedings/ICC2011/Oral%20Presentations%20PDF/D1-Feature%20selection%20and%20typification%20in%20generalisation/CO-310.pdf
  2. Chen, J., Hu, Y., Li, Z., Zhao, R., & Meng, L. (2009). Selective omission of road features based on mesh density for automatic map generalization. International Journal of Geographical Information Science, 23(8), 1013–1032. https://doi.org/10.1080/1365881080207073010.1080/13658810802070730
  3. Christensen, A. H. J. (1999). Cartographic line generalization with waterlines and medial-axes. Cartography and Geographic Information Science, 26(1), 19–32. https://doi.org/10.1559/15230409978242489310.1559/152304099782424893
  4. Chrobak, T., Szombara, S., Kozioł, K., & Lupa, M. (2016). A method for assessing generalized data accuracy with linear object resolution verification. Geocarto International, 32(3), 238–256. https://doi.org/10.1080/10106049.2015.113372110.1080/10106049.2015.1133721
  5. Douglas, D. H., & Peucker, T. K. (1973). Algorithms for the Reduction of the Number of Points Required To Represent a Digitized Line or Its Caricature. Cartographica: The International Journal for Geographic Information and Geovisualization, 10(2), 112–122. https://doi.org/10.3138/fm57-6770-u75u-772710.3138/FM57-6770-U75U-7727
  6. Horton, R. E. (1945). Erosional development of streams and their drainage basins; hydrophysical approach to quantitative morphology. Geological Society of America Bulletin, 56(3), 275–370. https://doi.org/10.1130/0016-7606(1945)56[275:edosat] 2.0.co;2
  7. International Cartographic Association. Commission II: Definition, Classification and Standardization of Technical Terms in Cartography. (Ed.). (1973). Generalization. In Multilingual dictionary of technical terms in cartography (p. 137). Franz Steiner.
  8. Liu, X., Zhan, F. B., & Ai, T. (2010). Road selection based on Voronoi diagrams and “strokes” in map generalization. International Journal of Applied Earth Observation and Geoinformation, 12(Supplement 2), 194–202. https://doi.org/10.1016/j.jag.2009.10.00910.1016/j.jag.2009.10.009
  9. Ministerstwo Rozwoju, Pracy i Technologii. (2021). Rozporządzenie Ministra Rozwoju, Pracy i Technologii z dnia 27 lipca 2021 r. w sprawie bazy danych obiektów topograficznych oraz bazy danych obiektów ogólnogeograficznych, a także standardowych opracowań kartograficznych [The regulation of the Minister of Economic Development and Technology of 27 July 2021 on topographic objects database, general geographic objects database and standard maps]. (Dz.U. 2021 poz. 1412).
  10. Ministerstwo Spraw Wewnętrznych i Administracji. (2011). Rozporządzenie Ministra Spraw Wewnętrznych i Administracji z dnia 17 listopada 2011 r. w sprawie bazy danych obiektów topograficznych oraz bazy danych obiektów ogólnogeograficznych, a także standardowych opracowań kartograficznych [The regulation of the Minister of Internal Affairs and Administration of 17 November 2011 on topographic objects database, general geographic objects database and standard maps]. (Dz.U. 2011 nr 279 poz. 1642).
  11. Otwarte Dane. (n.d.). https://dane.gov.pl/
  12. Perkal, J. (1966). An attempt at objective generalization. Michigan Inter-University Community of Mathematical Geographers, (10), 58–76.
  13. Polish Academy of Sciences. Institute of Geography and Spatial Organization. (1993). Atlas of the Republic of Poland. Surveyor General of Poland. Regionalny Zarząd Gospodarki Wodnej we Wrocławiu. (n.d.). Opracowanie charakterystyki zlewni bilansowej rzeki Nysy Kłodzkiej. https://wroclaw.rzgw.gov.pl/files_mce/Planowanie%20w%20gospodarowaniu%20wodami/charakterystyka_nysa_klodzka.pdf
  14. Robinson, A., Sale, R., & Morrison, J. (1978). Elements of cartography (4th ed.). John Wiley and Sons.
  15. Spielman, R. M., Jenkins, W. J., Lovett, M. D., & Czarnota-Bojarska, J. (2020). Psychologia. OpenStax. https://openstax.org/books/psychologia-polska/pages/5-6-zasady-postrzegania-w-psychologiigestalt
  16. Stanislawski, L. V., Buttenfield, B. P., Bereuter, P., Savino, S., & Brewer, C. A. (2014). Generalisation operators. In D. Burghardt, C. Duchêne & W. Mackaness (Eds.), Abstracting geographic information in a data rich world. Methodologies and Applications of Map Generalisation (pp. 157–195). Springer. https://doi.org/10.1007/978-3-319-00203-3_610.1007/978-3-319-00203-3_6
  17. Strahler, A. N. (1952). Dynamic basis of geomorphology. Geological Society of America Bulletin, 63(9), 923–938. https://doi.org/10.1130/0016-7606(1952)63[923:dbog]2.0.co;210.1130/0016-7606(1952)63[923:DBOG]2.0.CO;2
  18. Szombara, S., & Lupa, M. (2018). Cartographic Generalization of the River Network Including Standards of the Objects Recognition. Proceedings of the 2018 Baltic Geodetic Congress, BGC–Geomatics 2018, 117–120. https://doi.org/10.1109/BGC-Geomatics.2018.0002810.1109/BGC-Geomatics.2018.00028
  19. Thomson, R. C., & Richardson, D. E. (1999). The ‘good continuation’ principle of perceptual organization applied to the generalisation of road networks. Proceedings of the 19th International Cartographic Conference, Ottawa, Canada, 1215–1223 http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=4DA1A15D31A459AF418AD8381C2062F5?doi=10.1.1.202.4737&rep=rep1&type=pdf
  20. Tobler, W. R. (1964). Technical report No. 1, „An experiment in the computer generalization of maps”. Department of Geography University of Michigan. https://deepblue.lib.umich.edu/bitstream/handle/2027.42/7972/aja5779.0001.001.pdf?sequence-=5&isAllowed=y
  21. Touya, G. (2007). River Network Selection based on Structure and Pattern Recognition. 23rd International Cartographic Conference, Moscow, Russia, August 2007, 4–9. https://doi.org/10.13140/RG.2.1.1594.4167
  22. van Altena, V., & Stoter, J. (2016). Context-aware thinning of artificial water networks for map generalization. Journal for Geographic Information Science. GI_Forum, 4(1), 12–29. https://doi.org/10.1553/giscience2016_01_s1210.1553/giscience2016_01_s12
  23. Wertheimer, M. (1938). Laws of organization in perceptual forms. In W. D. Ellis (Ed.), A source book of Gestalt psychology (pp. 71–88). Kegan Paul, Trench, Trubner & Company. (Original work published 1923). https://psychclassics.yorku.ca/Wertheimer/Forms/forms.htm10.1037/11496-005
  24. Wydawnictwo Naukowe PWN. (n.d.). Nysa Kłodzka. In Encyklopedia PWN: źródło wiarygodnej i rzetelnej wiedzy. https://encyklopedia.pwn.pl/haslo/Nysa-Klodzka;3949141.html
  25. Wydawnictwo Naukowe PWN. (n.d.). Radomka. In Encyklopedia PWN: źródło wiarygodnej i rzetelnej wiedzy. https://encyklopedia.pwn.pl/haslo/Radomka; 3965526
  26. Zawadzka J. (2020, April 7). Wody. Biebrzański Park Narodowy. https://archiwum.biebrza.org.pl/46,wody
DOI: https://doi.org/10.2478/pcr-2022-0006 | Journal eISSN: 2450-6966 | Journal ISSN: 0324-8321
Language: English
Page range: 75 - 91
Submitted on: May 25, 2022
Accepted on: Aug 22, 2022
Published on: Sep 19, 2022
Published by: Polish Geographical Society
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 Iga Ajdacka, Izabela Karsznia, published by Polish Geographical Society
This work is licensed under the Creative Commons Attribution 4.0 License.