New method for positional quality control in cartography based on lines. A comparative study of methodologies

International Journal of Geographical Information Science

Volumn 25, Issue 10, 2011, Pages 1681-1695

  Mozas, Antonio T ^a   Ariza, Francisco J ^a  

^a UNIVERSITY OF JAÉN   (Spain)

Author keywords

Quality; Uncertainty

Indexed keywords

ACCURACY ASSESSMENT; CARTOGRAPHY; COMPARATIVE STUDY; DATABASE; DETECTION METHOD; GIS; QUALITATIVE ANALYSIS; UNCERTAINTY ANALYSIS;

EID: 84855752679     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658816.2010.545063     Document Type: Article

References (26)

1. Abbas, I., Grussenmeyer, P., and Hottier, P., 1995. Contrôle de la planimétrie d'une base de données vectorielle: une nouvelle méthode basée sur la distance de Hausdorff: la méthode du contrôle linéaire. Bulletin SFPT, 1 (137), 6-11.
2. American Society for Photogrammetry and Remote Sensing (ASPRS), 1990. ASPRS accuracy standards for large-scale maps. Photogrammetric Engineering and Remote Sensing, 56 (7), 1068-1070.
3. American Society of Civil Engineers (ASCE), 1983. Map uses, scales and accuracies for engineering and associated purposes, Committee on Cartographic Surveying. New York: Surveying and Mapping Division, ASCE.
4. Atkinson, A.D.J. and Ariza, F.J., 2002. Nuevo enfoque para el análisis de la calidad posicional en cartografía mediante estudios basados en la geometría lineal. Proceedings of the XIV Congreso Internacional de Ingeniería Gráfica, Santander, Spain.
5. Caspary, W. and Scheuring, R., 1993. Positional accuracy in spatial databases. Computer, Environment and Urban Systems, 17, 103-110.
6. Cuenin, R., 1972. Cartographie Générale. Tome I. Notions Générales et principes d'élaborations. Paris: Eyrolles.
7. Federal Geographic Data Committee (FGDC), 1998. Geospatial positioning accuracy standards. Part 3: National standard for spatial data accuracy (FGDC-STD-007.3-1998). Washington, DC: FGDC.
8. Goodchild, M. and Hunter, G., 1997. A simple positional accuracy for linear features. International Journal Geographical Information Science, 11 (3), 299-306.
9. Heuvelink, G.B.M., Brown, J.D., and Van Loon, E.E., 2007. A probabilistic framework for representing and simulating uncertain environmental variables. International Journal of Geographical Information Science, 21 (5), 497-513.
10. International Standard Organization (ISO), 1999. ISO-15046-13: Geographic Information-Quality principles. ISO/TC 211/WG 1.
11. Jasinski, M.J., 1990. The comparison of complexity measures for cartographic lines. Technical Report 90-1. Buffalo, NY: National Center for Geographic Information and Analysis.
12. McMaster, R.B., 1986. A statistical analysis of mathematical measures for linear simplification. The American Cartographer, 13(2), 103-116.
13. Ministerio de Fomento, M., 2007. Anuario estadístico 2007. Madrid: Ministerio de Fomento.
14. Mozas, A., 2008. Control de calidad posicional en cartografía por elementos lineales (Positional quality control in cartography using linear elements). Thesis (PhD). University of Jaén.
15. Mozas, A. and Ariza, F.J., 2010. Methodology for positional quality control in cartography using linear features. The Cartographic Journal, 47(4), 371-378.
16. National Committee for Digital Cartographic Data (NCDCDS), 1989. Spatial data transfer Standard (SDTS).
17. Perkal, J., 1956. On epsilon length. Bulletin de l'Académie Polonaise des Sciences, 4, 399-403.
18. Ramirez, R. and Ali, T., 2003. Progress in metrics development to measure positional accuracy of spatial data. Proceedings of the 21st international cartographic conference, Durban, South Africa, 1763-1772.
19. Schmidley, R.W., 1996. Framework for the control of quality in automated mapping. Dissertation. Ohio State University.
20. Shi, W. and Liu, W., 2000. A stochastic process based model for the positional error of line segments in GIS. International Journal Geographical Information Science, 14(1), 51-66.
21. Skidmore, A. and Turner, B., 1992. Map accuracy assessment using line intersect sampling. Photogrammetric Engineering and Remote Sensing, 58(10), 1453-1457.
22. Tveite, H. and Langaas, S., 1999. An accuracy assessment meted for geographical line data sets based on buffering. International Journal Geographical Information Science, 13 (1), 27-47.
23. United States Geological Survey (USGS), 1947. United States National Map Accuracy Standards.
24. Van Niel, T.G. and McVicar, T.R., 2002. Experimental evaluation of positional accuracy estimates from a linear network using point-and line-based testing methods. International Journal Geographical Information Science, 16(5), 455-473.
25. Wu, H.S. and Liu, Z.L., 2008. Simulation and model validation of positional uncertainty of line feature on manual digitizing a map. The international archives of the photogrammetry, remote sensing and spatial information sciences, Vol. XXXVII, Part B2, Beijing, China.
26. Zhang, J. and Goodchild, M., 2002. Uncertainty in geographical information. London: Taylor & Francis.