Variability of NSSDA Estimations
Publication: Journal of Surveying Engineering
Volume 134, Issue 2
Abstract
Using a statistical simulation process the variability of National standard for spatial data accuracy (NSSDA) estimations are analyzed according to sample size. Simulation results show: (1) that the NSSDA positional accuracy estimation has a variability of 11% when using the minimum recommended sample size of 20 points; and (2) that the use of samples of 100 points is needed in order to reach an effective confidence level of 95%. The NSSDA is a methodology of shared risk between users and producers when accuracy is “as expected,” but for other cases the relation is altered. As simulation results demonstrated, this change is depicted by means of a family of acceptance curves that can be used by users to determine the sample size for limiting their acceptance risk, but also by producers to analyze their rejection risk.
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Acknowledgments
This work has been partially funded by the National Ministry of Sciences and Technology of the Kingdom of Spain under Grant No. UNSPECIFIEDBIA2003-02234.
References
American National Standards Institute (ANSI). (1998). “Spatial data transfer standard (SDTS)-Part, 1, Logical specifications.” ANSI NCITS 320-1998, Washington, D.C.
American Society of Photogrammetry and Remote Sensing (ASPRS). (1989). “Accuracy standards for large scale maps.” Photogramm. Eng. Remote Sens., 56(7), 1068–1070.
Ariza, F. J. (2002). Control de calidad en la producción cartográfica, Ra-Ma, Madrid, Spain.
ASCE. (1983). Map uses, scales and accuracies for engineering and associated purposes, ASCE Committee on Cartographic Surveying, Surveying and Mapping Division, New York.
Atkinson, A. (2005). “Control de calidad posicional en cartografía: análisis de los principales estándares y propuesta de mejora.” Doctoral thesis, Univ. de Jaén, Jaén, Spain.
Department of Defense (DOD). (1990). “Mapping, charting and geodesy accuracy.” MIL STD 60001, Washington, D.C.
Federal Geographic Data Committee (FGDC). (1998). “Geospatial positioning accuracy standards, Part 3. National standard for spatial data accuracy.” FGDC-STD-007, Reston, Va.
Federal Geographic Data Committee (FGDC). (2003). “Revision of geospatial positioning accuracy standards, Part 3. National standard for spatial data Accuracy.” FGDC-STD-007.3-1998, ⟨http://www.fgdc.gov/standards/projects/FGDC-standards-projects/accuracy/part3/index_html⟩ (Sept. 20, 2006).
Greenwalt, C., and Shultz, M. (1962). “Principles of error theory and cartographic applications.” ACIC Technical Rep. No. 96, Aeronautical Chart and Information Center, St. Louis.
Heuvelink, G. (1998). Error propagation in environmental modelling, Taylor and Francis, London.
Jakobsson, A., and Vauglin, F. (2002). “Report of a questionnaire on data quality in National Mapping Agencies.” Rep. Prepared for CERCO Working Group on Quality, Comite Europeen de Responsibles da la Cartographie Officielle, Marne-la-Vallée, France.
Li, Z. (1991). “Effects of check points on the reliability of DTM accuracy estimates obtained from experimental test.” Photogramm. Eng. Remote Sens., 57(10), 1333–1340.
McCollum, J. (2003). “Map error and root mean square.” Proc., 16th Annual Geographic Information Sciences Conf. of the Towson University and Towson University’s Department of Geography and Environmental Planning, Towson Univ., Towson, Md., 1–3.
Minnesota Planning Land Management Information Center (MPLMIC). (1999). Positional accuracy handbook, St. Paul, Minn.
National Digital Elevation Program (NDEP). (2006). Digital elevation data guidelines, ⟨http://www.ndep.gov/TechSubComm.html⟩ (Sept. 20 2006).
National Joint Utilities Group (NJUG). (1988). Quality control procedure for large scale ordnance survey maps digitized to OS 1988, Version 1, NJUG Publication No. 13, London.
Newby, P. R. (1992). “Quality management for surveying, photogrammetry and digital mapping at the ordnance survey.” Photogramm. Rec., 79(14), 45–58.
Ríos, D., Ríos, S., and Martín, J. (1997). Simulación, métodos y aplicaciones, Ra-Ma, Madrid, Spain.
Tilley, G. (2002). “A classification system for National Standards for spatial data accuracy.” Proc., 15th Annual Geographic Information Sciences Conf. of the Towson University and Towson University’s Department of Geography and Environmental Planning, Towson Univ., Towson, Md, 1–3.
U.S.Bureau of the Budget (USBB). (1947). United States national map accuracy standards, Washington, D.C.
Wikipedia (2007). “Simulation.” ⟨http://en.wikipedia.org/wiki/Simulation⟩ (Jan. 6 2007).
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© 2008 ASCE.
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Received: Sep 25, 2006
Accepted: Jul 25, 2007
Published online: May 1, 2008
Published in print: May 2008
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