Analysis of Some Positional Accuracy Assessment Methodologies
Publication: Journal of Surveying Engineering
Volume 134, Issue 2
Abstract
This work presents an analysis of some standard methodologies for positional accuracy assessment of geographic data bases, taking into account aspects like the statistical formulation, the size of the control sample, the distribution and typology of the control elements, etc. Here we point out some weaknesses of the majority of standards: scarce formalism, inappropriate terminology for dealing with uncertainty, minimum recommended sample size, no assessment of the base hypothesis of the statistical model being applied, no information about the statistical behavior and reliability of the method, etc. The analysis developed here can serve as a starting point for the development of improved methodologies.
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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. The writers also acknowledge the Regional Government of Andalusia (Spain) (Department of Education, Science and Technology) for financial support from 1997 to their research group (PAI-TEP-164).
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). (1990). “Accuracy standards for large scale maps.” Photogramm. Eng. Remote Sens., 56(7), 1068–1070.
American Society for Photogrammetry and Remote Sensing (ASPRS). (2001). Digital elevation model technologies and applications: The DEM user’s manual, D. F. Maune, ed., Bethesda, Md.
Ariza, F. J., and Atkinson, A. D. (2008). “Variability of NSSDA estimations.” J. Surv. Eng., 134(2), to be published.
Ariza, F. J., Atkinson, A. D., and Rodríguez, J. (2008). “Acceptance curves for the positional control of geographic data bases.” J. Surv. Eng., 134(1), 26–32.
Atkinson, A. D. (2005). “Control de calidad posicional en cartografía: Análisis de los principales estándares y propuesta de mejora.” Doctoral thesis, Univ. de Jaén, Jaén, Spain.
Carmel, Y., Flather, C., and Dean, D. (2006). “A methodology for translating positional error into measures of attribute error, and combining the two error sources.” Proc., 7th Int. Symp. on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, M. Caetano and M. Painho, eds., Lisbon, Portugal, 3–17.
Church, R., Curtin, K., Fohl, P., Funk, C., Goodchild, M., Kyriakidis, P., and Noronha, V. (1998). “Positional distortion in geographic data sets as a barrier to interoperation.” Technical Papers ACSM, American Congress on Surveying and Mapping, Bethesda, Md.
Committee on Cartographic Surveying. (1983). Map uses, scales and accuracies for engineering and associated purposes, Surveying and Mapping Division, ASCE, New York.
De Bruin, S., Bregt, A., and Van de Ven, M. (2001). “Assessing fitness for use: the expected vale of spatial data sets.” Int. J. Geograph. Inf. Sci., 15(5), 457–475.
Department of Defense (DOD). (1990). “Mapping, charting and geodesy accuracy.” MIL STD 60001, U.S. Department Of Defense, Washington, D.C.
European Spatial Data Research (EuroSDR). (2004). “Positional accuracy improvement: Impacts of improving the positional accuracy of GI databases.” Publication No. 48. ⟨http://www.eurosdr.net/km_pub/no48/html/positional/positional_index.htm⟩ (Sep. 20, 2006).
Federal Emergency Management Agency (FEMA). (2003). Guidelines and specifications for flood hazard mapping partners, Appendix A: Guidance for aerial mapping and surveying, 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.” FGDC standard projects, ⟨http://www.fgdc.gov/standards/projects/FGDC-standards-projects/accuracy/part3/index_html⟩ (Sept. 20, 2006).
France. (2003). “Circulaire du 16 Septembre 2003 relative à la mise en ceuvre de l’arrèté du 16 Septembre 4 2003 portant sur les classes de precisions applicables aux categories de travaux topographiques réalisés par l’Etat, les collectivités locales, ou pour leur compte.” J. Officiel de la République Francaise, 2003(252), 18459–18556.
Geomatics Canada (GC). (1996). Accuracy standards for positioning, Version 1.0, Geodetic Survey Division, Ottawa.
Giordano, A., and Veregin, H. (1994). Il controllo di qualitá nei sistemi informative territoriali. come valuare e mantenere l’ accuratezza del database, Il Cardo, Venezia, Italy.
Goodchild, M. F., and Hunter, G. J. (1997). “A simple positional accuracy measure for linear features.” Int. J. Geograph. Inf. Sci., 11(3), 299–306.
Hunter, G. J., and De Bruin, S. (2006). “A case study in the use of risk management to assess decision quality.” Fundamentals of spatial data quality, R. Devillers and R. Jeansoulin, eds., ISTE Ltd., London, 271–282.
Inter-Governmental Committee on Surveying and Mapping (ICSM). (2004). Standards and practices for control surveys (SP1) V1.6, Canberra, Australia.
International Hydrographic Organization (IHO). (1998). IHO standards for hydrographics surveys, 4th Ed., Special publication No. 44, Monaco.
International Organization for Standardization (ISO). (1993). International vocabulary of basic and general terms in metrology, Geneva.
International Organization for Standardization (ISO). (1995). Guide to the expression of uncertainty in measurements, Geneva.
International Organization for Standardization (ISO). (1999). ISO 2859-1: Sampling procedures for inspection by attributes—Part 1: Sampling schemes indexed by acceptance quality limit (AQL) for lot-by-lot inspection. Geneva.
International Organization for Standardization (ISO). (2002). ISO 19113: Geographic information—Quality principles, Geneva.
International Organization for Standardization (ISO). (2003). ISO 19114: Geographic information—Quality evaluation procedures, Geneva.
International Organization for Standardization (ISO). (2004). ISO/IEC Directives. Part 2: Rules for the structure and drafting of International Standards, 5th Ed., Geneva.
International Organization for Standardization (ISO). (2005). ISO 3951–1: Sampling procedures for inspection by variables—Part 1: Specification for single sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection for a single quality characteristic and a single AQL, Geneva.
International Organization for Standardization (ISO). (2006). ISO/TS 19138: Geographic information—Quality measures, Geneva.
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.
Krek, A., and Frank, A. U. (1999). “Optimization of quality of geoinformation products.” Proc., 11th Annual Colloquium of the Spatial Information Research Centre, SIRC’99, P. A. Whigham, ed., Univ. of Otago, Dunedin, New Zealand, 151–159.
Leung, Y. (1998). “A locational error model for spatial features.” Int. J. Geograph. Inf. Sci., 12(6), 607–620.
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.
Lucas, J. L., and Rodríguez, A. F. (2004). “La calidad en la información geográfica de productos vectoriales del IGN.” Proc., 8th Congreso Nacional de Topografía y Cartografía, TOPCART 2004, Colegio Oficial de Ingenieros Técnicos en Topografía, Madrid, Spain.
Mackaness, W., Beard, M. K., and Buttenfield, B. P. (1994). Selected annotated bibliography on visualization of the quality of spatial information, National Centre for Geographic Information and Analysis, Santa Barbara, Calif.
Matos, J., and Goncalvez, A. (1998). “Measurement and analysis of positional errors.” Proc., 8th Int. Symp. on Spatial Data Handling, International Geographical Union, Vancouver, Canada, 151–160.
Merchant, D. C. (1982). “Spatial accuracy standards for large scale line maps.” Technical papers of the American Congress on Surveying and Mapping, Vol. 1, ACSM, Bethesda, Md., 222–231.
Minnesota Land Management Information Center (LMIC). (2006). “Minnesota Land Management Information Center.” ⟨ftp://ftp.lmic.state.mn.us/pub/gc/nssda.exe⟩ (Sept. 20, 2006).
Minnesota Planning Land Management Information Center (MPLMIC). (1999). Positional accuracy handbook, St. Paul, Minn.
National Digital Elevation Program (NDEP). (2004). Guidelines for digital elevation data V1.0, U.S. Geological Survey, Reston, Va.
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.
National Land Survey Finland (NLSF). (1995). Topographic data quality model, Helsinki, Finland.
Nero, M. A. (2005). “Propostas para o controle de qualidade de bases cartográficas com ênfase na componente posicional.” Ph.D. thesis, Escola Politécnica da Univ. de Sao Paulo, Sao Paulo, Brazil.
Nero, M. A., and Cintra, J., (2005). “Controle de qualidade de mapeamento: Visão geral das normas de diversos países.” Proc., 22nd Congresso Brasileiro de Cartografia, Sociedade Brasileira do Cartografía, Macaé, Brazil, 1–16.
Newby, P. R. (1992). “Quality management for surveying, photogrammetry and digital mapping at the ordinance survey.” Bunseki Kagaku, 14(79), 45–58.
Nogueira, J. B. (2003). “Controle de qualidade de produtos cartográficos: Uma proposta metodológica.” Dissertation, Univ. Estadual Paulista “Júlio de Mesquita Filho, Presidente Prudente, Brazil.
Rodríguez, A. F., and Lumbreras, J. (1997). “El modelo digital del terreno 1:25.000 (MDT25).” Mapping, 38, 50–60.
Rönsdorf, C. (2004). “Positional integration of geodata.” Positional accuracy improvement: Impacts of improving the positional accuracy of GI databases, EuroSDR Publication No. 48, ⟨http://www.eurosdr.net/km_pub/no48/html/positional_positional_index.htm⟩ (Sept. 20 2006).
Shi, W., and Liu, W. (2000). “A stochastic process-based model for the positional error of line segments in GIS.” Int. J. Geograph. Inf. Sci., 14(1), 51–66.
Standardization Agreements (STANAG). (2002). Standardization agreement 2215: Evaluation of land maps, aeronautical chartsand digital topographic data, North Atlantic Treaty Organization, Bruxelles, Belgium.
Teveite, H., and Langaas, S. (1999). “An accuracy assessment method for geographical line data sets based on buffering.” Int. J. Geograph. Inf. Sci., 13(1), 27–47.
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, Townson University's Department of Geography and Environmental Planning, Towson, Md., 1–3.
U.S. Army Corps of Engineers (USACE). (2002). “Engineering and design—Photogrammetric mapping.” Publication No. EM 1110-1-1000, Washington, D.C.
U.S. Bureau of the Budget (USBB). (1947). United States national map accuracy standards, Washington, D.C.
USGS. (1997). Standards for digital elevation models: Part 3: Quality control, standards for digital elevation models, Reston, Va.
Information & Authors
Information
Published In
Journal of Surveying Engineering
Volume 134 • Issue 2 • May 2008
Pages: 45 - 54
Copyright
© 2008 ASCE.
History
Received: Feb 21, 2007
Accepted: Aug 3, 2007
Published online: May 1, 2008
Published in print: May 2008
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