OSMAN, Robert. Sémantická mapa: příklad Ústí nad Orlicí (Semantic map: the case of Ústí nad Orlicí). Geografie - Sborník České geografické společnosti. 2016, vol. 121, No 3, p. 463–492. ISSN 1212-0014.
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Basic information
Original name Sémantická mapa: příklad Ústí nad Orlicí
Name in Czech Sémantická mapa: příklad Ústí nad Orlicí
Name (in English) Semantic map: the case of Ústí nad Orlicí
Authors OSMAN, Robert.
Edition Geografie - Sborník České geografické společnosti, 2016, 1212-0014.
Other information
Original language Czech
Type of outcome Article in a journal
Field of Study Earth magnetism, geodesy, geography
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 0.580
Organization unit Faculty of Science
UT WoS 000385337100006
Keywords (in Czech) obraz města, mentální mapa, sémantická mapa, kvalitativní metodologie, Ústí nad Orlicí
Keywords in English image of the town, mental map, semantic map, qualitative methodology, Ústí nad Orlicí
Tags Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 8/4/2020 14:29.
Abstract (in English)
The paper presents a method of creating a semantic map which follows up the tradition of mental mapping. The first step in the construction of a semantic map is a spatial definition of the shared image of a place/town. The second step is selection of the words and phrases that fit the shared meaning of a place/town. The third step then is their localization in the “underlying map”. The size of individual expressions indicates the frequency with which the place was named so or to what extent the designation was shared among the respondents. Then the final step is “regionalization” of the space based on semantic proximity of the words used to describe individual locations. The semantic map method is presented using the example of the town of Ústí nad Orlicí. The empirical material is based on 21 interviews conducted in the town of Ústí nad Orlicí between January and September 2013.
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