An accuracy assessment method for geographical line data sets based on buffering

International Journal of Geographical Information Science

Volumn 13, Issue 1, 1999, Pages 27-47

  Tveite, HaåVARD ^a   Langaas, Sindre ^b  

^a NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^b STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0001919497     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/136588199241445     Document Type: Article

References (23)

1. TVEIT, H., and LANGAA, S. Accuracy assessments of geographical line data sets, the case of the digital chart of the world. Proceedings of the 5th Scandinavian Research Conference on Geographical Information Systems (ScanGIS'95). pp. 145–154. Trondheim:Department of Surveying and Mapping, University of Trondheim.
2. USG. 1990. Spatial Data Transfer Standard, version 12/9, US Geological Survey. Technical report
3. BARNSLE, M., 1988. Fractals Everywher, London:Academic Press.
4. BLAKEMOR, M., 1984. Generalisation and error in spatial data bases. Cartographica, 21:131–139.
5. BORDA, J.-A. 1995. Accuracy Assessment of Geographical Line Data Sets, The Case of the Digital Chart of the Worl, Agricultural University of Norway. Master's thesis
6. BURROUG, P. A., and FRAN, A. U., eds. 1996. Geographic Objects with Intermedinate Boundarie, London:Taylor and Francis.
7. CE. 1995. TC 287 N369:Geographic Information-Data description-Qualit, European Committee for Standardizatioa. Technical report, Working Draft at stage 32
8. CHRISMA, N., 1984. The role of quality information in the long-term functioning of a geographic information system. Cartographica, 21:79–87.
9. DOUGLA, D. H., and PEUCKE, T. H., 1973. Algorithms for the reduction of the number of points required to represent a digitized line or its caricature. Candian Cartographer, 10:110–122.
10. DUTTO, G., Handling positional uncertainty in spatial databases. Proceedings of the 5th International Symposium on Spatial Data Handling. pp. 460–469. Columbia:International Geographical Union.
11. ESR. 1990. Digital Chart of the World-DCW Error Analysi, Defense Mapping Agency, Systems Center (AQE). Technical report, 8613 Lee Highway Fairfax, Virginia 22031-2138. Prepared by Environmental Systems Research Institute, Inc. for Defense Mapping Agency, USA, Contract No.:DMA600-89-C-0023 CDRL C002
12. GOODCHIL, M. F, and GOPA, S. 1991. The Accuracy of Spatial Data Base, London:Taylor and Francis.
13. GOODCHIL, M. F., and HUNTE, G. J., 1997. A simple positional accuracy measure for linear features. International Journal of Geographical Information Science, 11:299–306.
14. HUNTE, G. J., and GOODCHIL, M. F., 1995. Dealing with error in spatial databases:a simple case Study. Photogrammetric Engineering and Remote Sensing, 61:529–537.
15. KIIVER, H., 1997. Assessing, representing and transmitting positional uncertainty in maps. International Journal of Geographical Information Science, 11:33–52.
16. KRAU, K., 1994. Visualization of the quality of surfaces and their derivatives. Photogrammetric Engineering and Remote Sensing, 60:457–462.
17. LANGAA, S, and TVEIT, H., 1994. Project Proposal:Issues of Error, Quality, and Integrity of Digital Geographical Data:The Case of the Digital Chart of the Worl http://www.nlh.no/ikf/gis/dcw/quality.ps
18. MANDELBRO, B., 1967. How long is the coast of Britain? Statistical self-similarity and fractional dimension. Science, 156:636–638.
19. MANDELBRO, B., 1982. The Fractal Geometry of Natur, New York:W. H. Freeman and Co.
20. McMASTE, R. B., and SHE, K. S. 1992. Generalization in Digital Cartograph, Washington:Association of American Geographers.
21. MORRISO, J. L. 1995. “ Spatial Data Quality ”. In Elements of Spatial Data Qualit, Edited by:Guptil, S., and Morriso, J. L., 1–12. Oxford:Elsevier.
22. SKIDMOR, A., and TURNE, B., A measure of vector map accuracy. Proceedings of the Symposium on Spatial Database Accuracy. pp. 161–174. Melbourne:Department of Surveying and Land Information, The University of Melbourne.
23. TVEIT, H., and LANGAAS, S., 1994. The Digital Chart of the World (DCW) and Data Quality Projec http://www.nlh.no/ikf/gis/dcw/dcw.html