A method for assessing generalized data accuracy with linear object resolution verification
The article is composed of two sections. In the first section, the authors describe the application of minimum line dimensions which are dependent on line shape, width and the operational scale of the map. The proposed solutions are based on the Euclidean metric space, for which the minimum dimensio...
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Published in: | Geocarto international Vol. 32; no. 3; pp. 238 - 256 |
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Language: | English |
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Taylor & Francis
04-03-2017
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Abstract | The article is composed of two sections. In the first section, the authors describe the application of minimum line dimensions which are dependent on line shape, width and the operational scale of the map. The proposed solutions are based on the Euclidean metric space, for which the minimum dimensions of Saliszczew's elementary triangle (Elementary triangle - is the term pertaining to model, standard triangle of least dimensions securing recognizability of a line. Its dimensions depend on scale of the map and width of the line representing it. The use of a triangle in the simplification process is as follows: triangles with sides (sections) on an arbitrary line and bases (completing the sides) are compared with lengths of the shorter side and the base of the elementary triangle.) were adapted. The second part of the article describes an application of minimum line dimensions for verifying and assessing generalized data. The authors also propose a method for determining drawing line resolution to evaluate the accuracy of algorithm simplification. Taking advantage of the proposed method, well-known simplification algorithms were compared on the basis of qualitative and quantitative evaluation. Moreover, corresponding with the methods of simplified data accuracy assessment the authors have extended these solutions with the rejected data. This procedure has allowed the identification of map areas where graphic conflicts occurred. |
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AbstractList | The article is composed of two sections. In the first section, the authors describe the application of minimum line dimensions which are dependent on line shape, width and the operational scale of the map. The proposed solutions are based on the Euclidean metric space, for which the minimum dimensions of Saliszczew's elementary triangle (Elementary triangle - is the term pertaining to model, standard triangle of least dimensions securing recognizability of a line. Its dimensions depend on scale of the map and width of the line representing it. The use of a triangle in the simplification process is as follows: triangles with sides (sections) on an arbitrary line and bases (completing the sides) are compared with lengths of the shorter side and the base of the elementary triangle.) were adapted. The second part of the article describes an application of minimum line dimensions for verifying and assessing generalized data. The authors also propose a method for determining drawing line resolution to evaluate the accuracy of algorithm simplification. Taking advantage of the proposed method, well-known simplification algorithms were compared on the basis of qualitative and quantitative evaluation. Moreover, corresponding with the methods of simplified data accuracy assessment the authors have extended these solutions with the rejected data. This procedure has allowed the identification of map areas where graphic conflicts occurred. |
Author | Lupa, Michal Chrobak, Tadeusz Kozoł, Krystian Szombara, Stanisław |
Author_xml | – sequence: 1 givenname: Tadeusz surname: Chrobak fullname: Chrobak, Tadeusz organization: Department of Geomatics, AGH University of Science and Technology – sequence: 2 givenname: Stanisław surname: Szombara fullname: Szombara, Stanisław organization: Department of Geomatics, AGH University of Science and Technology – sequence: 3 givenname: Krystian surname: Kozoł fullname: Kozoł, Krystian organization: Department of Geomatics, AGH University of Science and Technology – sequence: 4 givenname: Michal surname: Lupa fullname: Lupa, Michal email: mlupa@agh.edu.pl organization: Department of Geoinformatics and Applied Computer Science, AGH University of Science and Technology |
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Cites_doi | 10.1559/152304086783900059 10.1179/caj.1966.3.1.10 10.1007/3-540-26772-7_25 10.3138/FM57-6770-U75U-7727 10.1080/15230406.2013.803707 10.1007/978-3-319-18422-7_40 10.1007/3-540-63818-0 10.1016/B978-008045374-3/50007-7 10.1007/978-3-319-00203-3_9 10.1179/caj.1993.30.1.46 10.2478/v10277-012-0004-y |
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References | Speiss E (CIT0017) 2005; 3 Lupa M (CIT0009) 2015 Saliszczew KA (CIT0016) 1998 CIT0020 CIT0001 Mackaness WA (CIT0010) 1991 CIT0012 CIT0023 CIT0011 Chrobak T (CIT0005) 2007 Chrobak T (CIT0003) 2000; 49 Yu Z (CIT0024) 1993 Burghardt D (CIT0002) 2014 Li Z (CIT0008) 2007 Ratajski L (CIT0014) 1989 Weibel R (CIT0022) 1995 CIT0013 CIT0004 Ruas A (CIT0015) 1995 CIT0018 CIT0006 Kozioł K (CIT0007) 2013 CIT0019 |
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SubjectTerms | cartography Generalization generalization assessment graphic conflicts minimum object dimensions |
Title | A method for assessing generalized data accuracy with linear object resolution verification |
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