Relational patterns in atlas cartography: educational-practical system of choropleth map

dc.citation.epage131
dc.citation.journalTitleСучасні досягнення геодезичної науки та виробництва
dc.citation.spage123
dc.citation.volume1(41)
dc.contributor.affiliationNational Academy of Sciences
dc.contributor.affiliationGeoSolutios
dc.contributor.authorChabaniuk, V.
dc.contributor.authorDyshlyk, O.
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2023-06-08T07:23:40Z
dc.date.available2023-06-08T07:23:40Z
dc.date.created2021-02-16
dc.date.issued2021-02-16
dc.description.abstractThis article describes the relational concepts of modern “choropleth map relational pattern of atlas cartography”, presented as Educational-practical system of choropleth map (EPSCM). Such patterns and systems are needed to provide practically useful knowledge about thematic maps for the user groups such as: practical cartographers, students of cartographic specialties, developers of modern atlas systems and (maybe) unskilled users. In the work two kinds of choropleth map pattern relations are described. The epistemological (vertical) relations are defining repetitive relations between representations of choropleth map that exist in the three phases of choropleth map life cycle: research, development and operation. These phases correspond to the conceptual, application, and operational strata of choropleth map existence defined in work. Transformational (horizontal) relations describe repetitive relations that exist between the product (choropleth map) and the process of its creation on some specific Stratum. It is proved that necessary to deal with the socalled main triad of choropleth map solutions framework to achieve educational and practical purposes: products-processes of the current strata (eg, application) and their counterparts in the more highly organized strata (eg, conceptual). To prove the main results the reduction and abduction are used. The reduction is applied to obtain the structure of the solution from the more common solutions of atlas systems. Abduction is applied to (re)prove the validity of vertical and horizontal relations for practically useful choropleth map. As additional evidence is used induction: proposed analogy between the concepts of the choropleth map strata and levels of van Gigch’s general systems theory and Bunge’s metacartography
dc.format.extent123-131
dc.format.pages9
dc.identifier.citationChabaniuk V. Relational patterns in atlas cartography: educational-practical system of choropleth map / V. Chabaniuk, O. Dyshlyk // Modern Achievements of Geodesic Science and Industry. — Lviv : Lviv Politechnic Publishing House, 2021. — Vol 1(41). — P. 123–131.
dc.identifier.citationenChabaniuk V. Relational patterns in atlas cartography: educational-practical system of choropleth map / V. Chabaniuk, O. Dyshlyk // Modern Achievements of Geodesic Science and Industry. — Lviv : Lviv Politechnic Publishing House, 2021. — Vol 1(41). — P. 123–131.
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/59205
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofСучасні досягнення геодезичної науки та виробництва, 2021
dc.relation.ispartofModern Achievements of Geodesic Science and Industry, 2021
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dc.relation.referencesSack C. M., Donohue R. G., Roth R. E. (2014). Interactive
dc.relation.referencesand Multivariate Choropleth Maps with D3.
dc.relation.referencesCartographic Perspectives, 78, 57–76.
dc.relation.referencesTaylor R. N., Medvidovic N., Dashofy E. M. (2010).
dc.relation.referencesSoftware Architecture: Foundations, Theory, and
dc.relation.referencesPractice. Hoboken: Wiley.
dc.relation.referencesVan Gigch John P. (1991). System design modeling and
dc.relation.referencesmetamodeling. New York: Springer.
dc.relation.referencesenAckerman L., Gonzalez C.(2011). Patterns-BasedEngineering:
dc.relation.referencesenSuccessfully Delivering Solutions via Patterns.
dc.relation.referencesenBoston: Addison-Wesley.
dc.relation.referencesenAlexander C. (1979). The Timeless Way Of Building. New
dc.relation.referencesenYork: Oxford University Press.
dc.relation.referencesenAslanikashvili A. F. (1974). Metacartography. Main
dc.relation.referencesenProblems. Tbilisi: Metsniereba (in Russian).
dc.relation.referencesenBerlyant A. M. (2002). Cartography: A textbook for high
dc.relation.referenceseneducation. Moscow: Aspekt Press (in Russian).
dc.relation.referencesenBooch G., Rumbaugh J., Jacobson I. (2005). The Unified
dc.relation.referencesenModeling Language User Guide. Boston: Addison–
dc.relation.referencesenWesley, 2nd ed.
dc.relation.referencesenBunge W. (1967). Theoretical geography: Translation from
dc.relation.referencesenEnglish. Moscow: Progress (in Russian).
dc.relation.referencesenChabaniuk V., Dyshlyk O. (2014). Conceptual Framework
dc.relation.referencesenof the Electronic Version of the National Atlas of
dc.relation.referencesenUkraine. Ukrainian Geographical Journal, No. 2, 58–68 (in Ukrainian).
dc.relation.referencesenChabaniuk V., Dyshlyk O. (2015). Atlas Relational
dc.relation.referencesenPatterns as the Means of Big Data Handling. In 27th Int.
dc.relation.referencesenCartographic Conf., Rio-de-Janeiro. 17 p.
dc.relation.referencesenChabaniuk V., Dyshlyk O. (2016a). Atlas Basemaps in
dc.relation.referencesenWeb 2.0 Epoch. The International Archives of the
dc.relation.referencesenPhotogrammetry, Remote Sensing and Spatial
dc.relation.referencesenInformation Sciences, Vol. XLI-B4, 2016 XXIII
dc.relation.referencesenISPRS Congress, 12–19 July 2016, Prague, Czech
dc.relation.referencesenRepublic, 611–618.
dc.relation.referencesenChabaniuk V., Dyshlyk O. (2016b). Relational Cartography:
dc.relation.referencesenResearch Subject. Ukrainian Geographical Journal,
dc.relation.referencesenNo. 4, 59–65.
dc.relation.referencesenDonohue R. G., Sack C. M., Roth R. E. (2013). Time Series
dc.relation.referencesenProportional Symbol Maps with Leaflet and jQuery.
dc.relation.referencesenCartographic Perspectives, 76, 43–66.
dc.relation.referencesenChabaniuk V. (2018). Relational Cartography: Theory and
dc.relation.referencesenPractice. Kyiv: Institute of Geography (in Ukrainian).
dc.relation.referencesenChabaniuk V., Rudenko L. (2019). Relational geospatial
dc.relation.referencesentechnologies: background theory, practical example
dc.relation.referencesenand needs in education, 63–83. In Geospatial
dc.relation.referencesenTechnologies in Geography Education. Edited by: de
dc.relation.referencesenMiguel González Rafael, Donert Karl, Koutsopoulos
dc.relation.referencesenKostis. Springer. 219 p.
dc.relation.referencesenDonohue R.G. (2014). Web Cartography with Web
dc.relation.referencesenStandards: Teaching, Learning, and Using Open
dc.relation.referencesenSource Web Mapping Technologies. University of
dc.relation.referencesenWisconsin-Madison, Doctor of Philosophy
dc.relation.referencesen(Geography) Dissertation.
dc.relation.referencesenFalkenberg E.D., Lindgreen P., Eds. (1989). Information
dc.relation.referencesenSystem Concepts: An In-depth Analysis. Amsterdam
dc.relation.referencesenet al., North-Holland.
dc.relation.referencesenHurni L. (2017). Atlas Information Systems. In S. Shekhar,
dc.relation.referencesenH. Xiong, X. Zhou (Eds.) Encyclopedia of GIS. New
dc.relation.referencesenYork: Springer, 2nd ed., 85–92.
dc.relation.referencesenKraak M.-J., Ormeling F. (2010). Cartography: Visualization
dc.relation.referencesenof Geospatial Data. Harlow: Prentice Hall, 3rd ed.
dc.relation.referencesenKraak M.-J. (2011). Is There a Need for Neo-Cartography?
dc.relation.referencesenCartography and Geographic Information Science, 38, 2, 73–78.
dc.relation.referencesenLiutyy A. A. (2002). Language of map: essence,
dc.relation.referencesensystem, functions. Moscow: IGRAS, 2rd Ed., corr.
dc.relation.referencesen(in Russian).
dc.relation.referencesenO’Reilly T. (2006). Web 2.0 Compact Definition:
dc.relation.referencesenTrying Again. http://radar.oreilly.com/2006/12/web-20-compact-definition-tryi.html (accessed 2019-feb-06).
dc.relation.referencesenPeterson G. N. (2012). Cartographer’s Toolkit: Colors,
dc.relation.referencesenTypography, Patterns. Fort Collins: PetersonGIS.
dc.relation.referencesenRoth R. E., Donohue R. G., Sack C. M., Wallace T. R.,
dc.relation.referencesenBuckingham T. M. A. (2014). A Process for Keeping
dc.relation.referencesenPace with Evolving Web Mapping Technologies.
dc.relation.referencesenCartographic Perspectives, 78, 25–52.
dc.relation.referencesenSack C. M., Donohue R. G., Roth R. E. (2014). Interactive
dc.relation.referencesenand Multivariate Choropleth Maps with D3.
dc.relation.referencesenCartographic Perspectives, 78, 57–76.
dc.relation.referencesenTaylor R. N., Medvidovic N., Dashofy E. M. (2010).
dc.relation.referencesenSoftware Architecture: Foundations, Theory, and
dc.relation.referencesenPractice. Hoboken: Wiley.
dc.relation.referencesenVan Gigch John P. (1991). System design modeling and
dc.relation.referencesenmetamodeling. New York: Springer.
dc.relation.urihttp://radar.oreilly.com/2006/12/web-20-compact-definition-tryi.html
dc.rights.holder© Західне геодезичне товариство, 2021
dc.rights.holder© Національний університет “Львівська політехніка”, 2021
dc.subjectConceptual Framework of choropleth map system
dc.subjectapplication Solutions Framework of choropleth map system
dc.subjectpractical example of cartographic relational pattern
dc.subject.udc598.91
dc.titleRelational patterns in atlas cartography: educational-practical system of choropleth map
dc.typeArticle

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