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ECOTONES - CHALLENGE IN VISUALISATION OF LANDSCAPE HETEROGENEITY

Brus, Jan, Pechanec, Vilem, Kilianova, Helena

First published: 2012-06-18https://doi.org/10.5593/sgem2012/s09.v2012View metrics

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Title
ECOTONES - CHALLENGE IN VISUALISATION OF LANDSCAPE HETEROGENEITY
Authors
Brus, Jan, Pechanec, Vilem, Kilianova, Helena
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; SGEM2012 12th International Multidisciplinary Scientific GeoConference
Publisher
Stef92 Technology
Year
2012
Pages
1013 - 1020 pp
ISSN
1314-2704
ISBN
Not available yet
Language
en
Publication type
Conference Paper
References62

  1. Zhang J. & Goodchild M.F. Uncertainty in geographical information. Edition ed. London: Taylor & Francis, 266 p.p. ISBN 0415243343, 2002.

  2. Buttenfield B.P. & Beard M.K.: Visualizing the quality of spatial information. Paper presented at AutoCarto X, International symposium on computer-assisted cartography, Baltimore, MD, 1991.

  3. Li W. & Zhang C. Visualizing spatial uncertainty in area-class mapping by Markov chain geostatistics. AutoCarto 2006. June 25-28, 2006 - Vancouver, Washington, 13 pages, 2006.

  4. Goodchild, M.F. & Dubuc O. A model of error for choropleth maps, with applicationsto geographic information systems. Proceedings, Eighth International Symposium on Computer-Assisted Cartography, Auto Carto 8, Baltimore, Maryland, March 29 to April 3, 1987. Falls Church, Virginia: ASPRS and ACSM, pp. 165-174, 1987.

  5. Goodchild M. F. & Sun G. & Yang S. Development and test of an error model for categorical data. International Journal of Geographical Information Systems 6: 87-104, 1992.

  6. Lagacherie P. & Andrieux P. & Bouzigues R. Fuzziness and uncertainty of soil boundaries: From reality to coding in GIS. In: Burrough P.A. & Frank A.U. (eds), Geographical Objects with Indeterminate Bounduries. London: Taylor and Francis, pp. 275-286.

  7. Lark, R.M. & Bolam H.C. Uncertainty in prediction and interpretation of spatially variable data on soils. Geoderma 77: 263-282.

  8. MacEachren A.M.: Visualizing uncertain information. Cartographical Perspectives 13. pp. 10-19, 1992.

  9. Nellis M.D. & Briggs J.M.: The effect of spatial scale on Konza landscape classification using textural analysis. Landscape Ecology 2(2): 93-100, 1989.

  10. Ji M.: Fuzzy modelling of African ecoregions and ecotones using AVHRR NDVI temporal imagery. Geocarto International 17(1): 21-30, 2002.

  11. Otýpková Z. & Chytrý M. & Tichý L. & Pechanec V. & Jongepier J.W. & Hájek O. Floristic diversity patterns in the White Carpathians Biosphere. BIOLOGIA. Volume: 66, Issue: 2, 266-274s, 2011.

  12. Hunter G. J. & Goodchild M.F.: A new model for handling vector data uncertainty in geographic information systems. Proceedings, URISA, San Antonio, Texas, pp. 410-419, 1995.

  13. Aerts J. C. J. H. & Clarke K.C. et al.: Research Papers - Testing Popular Visualization Techniques for Representing Model Uncertainty. Cartography and geographic information science. 30: 249 (14 pages). 5, 2003.

  14. Aspinall R.J. & Pearson D.M. Describing and managing uncertainty of categorical maps in GIS. In: Fisher P (ed) Innovations in GIS 2. Taylor & Francis, London, pp 71– 83,1995. SGEM2012 - DOI: 10.5593/sgem2012 www.sgem.org 12th International Multidisciplinary Scientific GeoConference SGEM 2012

    View DOICrossrefGoogle ScholarWeb of ScienceScopusOpenCitations

  15. Leitner M & Buttenfield B.P. Guidelines for display of attribute certainty. Cartography and Geographic Information Sciences 27:3–14, 2000.

  16. MacEachren A. M. & Robinwson A. & Hopper S. & Gardner S. & Murray R. & Gahegan M.: Visualizing Geospatial Information Uncertainty: What we know and what we need to know. Cartographic and Geographic Information Science, 32(3) pp. 139- 160, 2005.

  17. Gahegan M. & Ehlers, M. A framework for the modelling of uncertainty between remote sensing and geographic information systems. Isprs Journal of Photogrammetry and Remote Sensing, vol. 55, no. 3, p. 176-188, 2000.

  18. Duckham M. et al.: A formal approach to imperfection in geographic information. Computers, Environment and Urban Systems, 25, p. 89-103, 2001.

  19. Klir G. & Wierman M. Uncertainty-Based Information: Elements of Generalized Information Theory, 2nd edition. Physica-Verlag, 168pp., 1999.

  20. Thomson J. & Hetzler E. & MacEachren A. & Gahegan M. & Pavel, M. A typology for visualizing uncertainty. Visualization and Data Analysis 2005, , vol. 5669, p. 146-157, 2005.

  21. Kyriadis P. Spatial uncertainty and imprecision. In: Shekhar S & Xiong H (eds) Encyclopedia of GIS. Springer Science, Business Media, New York. ISBN: 978-0-387- 30858-6, 2008.

  22. Johson C. R.& Sanderson A. R. A Next Step: Visualizing Errors and Uncertainty. Computer Graphics and Applications, IEEE 23,5, 6-10. 2003.

  23. Griethe H. & Schumannn H. The visualization of uncertain data: Methods and problems, in Proceedings SimVis’06, Magdeburg, Germany, 2006.

  24. Brus J. & Dobešová Z. & Ka ňok J. & Pechanec V. Design of intelligent system in cartography. Brad, R. (ed). : Proceedings. 9 RoEduNet IEEE International Conference. Sibiu, University of Sibiu, 112-117s.ISSN 2068-1038. ISBN 978-1-4244-7335-9, 2010.

  25. Shi W. Principles of modeling uncertainties in spatial data and analyses. In. Boca Raton: CRC Press/Taylor & Francis, 2010.

  26. Burrough P.A.& McDonnel R. Principles of geographical information systems. Edtion ed. Oxford: Clarendon Press, 333 p, 1998.

  27. Guptill S.C. & Morrison J. Elements of spatial data quality. Edtion ed. Kidlington: Elsevier Science, 202 p. p. ISBN 0080424325, 1995.

  28. Gray R. M. Entropy and Information Theory. New York: Springer-Verlag, 1990.

  29. Jenness J. & Brost B. & Beier P. Land Facet Corridor Designer: Extension for ArcGIS. Jenness Enterprises, 2011.

  30. Wellmann J.F.& Regenauer-Lieb K. Uncertainties have a meaning: Information entropy as a quality measure for 3-D geological models, Tectonophysics, 2011.

  31. Pechanec V. & Brus J. & Kilianova H. Modeling spatial distribution of ecotones in GIS. Conference Proceedings SGEM 2011, 11th International Multidisciplinary Scientific GeoConference, Sofia, Bulgaria, 637-644s. SGEM2012 - DOI: 10.5593/sgem2012 www.sgem.org

    View DOICrossrefGoogle ScholarWeb of ScienceScopusOpenCitations

  32. Zhang J. & Goodchild M.F. Uncertainty in geographical information. Edition ed. London: Taylor & Francis, 266 p.p. ISBN 0415243343, 2002.

  33. Buttenfield B.P. & Beard M.K.: Visualizing the quality of spatial information. Paper presented at AutoCarto X, International symposium on computer-assisted cartography, Baltimore, MD, 1991.

  34. Li W. & Zhang C. Visualizing spatial uncertainty in area-class mapping by Markov chain geostatistics. AutoCarto 2006. June 25-28, 2006 - Vancouver, Washington, 13 pages, 2006.

  35. Goodchild, M.F. & Dubuc O. A model of error for choropleth maps, with applicationsto geographic information systems. Proceedings, Eighth International Symposium on Computer-Assisted Cartography, Auto Carto 8, Baltimore, Maryland, March 29 to April 3, 1987. Falls Church, Virginia: ASPRS and ACSM, pp. 165-174, 1987.

  36. Goodchild M. F. & Sun G. & Yang S. Development and test of an error model for categorical data. International Journal of Geographical Information Systems 6: 87-104, 1992.

  37. Lagacherie P. & Andrieux P. & Bouzigues R. Fuzziness and uncertainty of soil boundaries: From reality to coding in GIS. In: Burrough P.A. & Frank A.U. (eds), Geographical Objects with Indeterminate Bounduries. London: Taylor and Francis, pp. 275-286.

  38. Lark, R.M. & Bolam H.C. Uncertainty in prediction and interpretation of spatially variable data on soils. Geoderma 77: 263-282.

  39. MacEachren A.M.: Visualizing uncertain information. Cartographical Perspectives 13. pp. 10-19, 1992.

  40. Nellis M.D. & Briggs J.M.: The effect of spatial scale on Konza landscape classification using textural analysis. Landscape Ecology 2(2): 93-100, 1989.

  41. Ji M.: Fuzzy modelling of African ecoregions and ecotones using AVHRR NDVI temporal imagery. Geocarto International 17(1): 21-30, 2002.

  42. Otýpková Z. & Chytrý M. & Tichý L. & Pechanec V. & Jongepier J.W. & Hájek O. Floristic diversity patterns in the White Carpathians Biosphere. BIOLOGIA. Volume: 66, Issue: 2, 266-274s, 2011.

  43. Hunter G. J. & Goodchild M.F.: A new model for handling vector data uncertainty in geographic information systems. Proceedings, URISA, San Antonio, Texas, pp. 410-419, 1995.

  44. Aerts J. C. J. H. & Clarke K.C. et al.: Research Papers - Testing Popular Visualization Techniques for Representing Model Uncertainty. Cartography and geographic information science. 30: 249 (14 pages). 5, 2003.

  45. Aspinall R.J. & Pearson D.M. Describing and managing uncertainty of categorical maps in GIS. In: Fisher P (ed) Innovations in GIS 2. Taylor & Francis, London, pp 71– 83,1995. SGEM2012 - DOI: 10.5593/sgem2012 www.sgem.org 12th International Multidisciplinary Scientific GeoConference SGEM 2012

    View DOICrossrefGoogle ScholarWeb of ScienceScopusOpenCitations

  46. Leitner M & Buttenfield B.P. Guidelines for display of attribute certainty. Cartography and Geographic Information Sciences 27:3–14, 2000.

  47. MacEachren A. M. & Robinwson A. & Hopper S. & Gardner S. & Murray R. & Gahegan M.: Visualizing Geospatial Information Uncertainty: What we know and what we need to know. Cartographic and Geographic Information Science, 32(3) pp. 139- 160, 2005.

  48. Gahegan M. & Ehlers, M. A framework for the modelling of uncertainty between remote sensing and geographic information systems. Isprs Journal of Photogrammetry and Remote Sensing, vol. 55, no. 3, p. 176-188, 2000.

  49. Duckham M. et al.: A formal approach to imperfection in geographic information. Computers, Environment and Urban Systems, 25, p. 89-103, 2001.

  50. Klir G. & Wierman M. Uncertainty-Based Information: Elements of Generalized Information Theory, 2nd edition. Physica-Verlag, 168pp., 1999.

  51. Thomson J. & Hetzler E. & MacEachren A. & Gahegan M. & Pavel, M. A typology for visualizing uncertainty. Visualization and Data Analysis 2005, , vol. 5669, p. 146-157, 2005.

  52. Kyriadis P. Spatial uncertainty and imprecision. In: Shekhar S & Xiong H (eds) Encyclopedia of GIS. Springer Science, Business Media, New York. ISBN: 978-0-387- 30858-6, 2008.

  53. Johson C. R.& Sanderson A. R. A Next Step: Visualizing Errors and Uncertainty. Computer Graphics and Applications, IEEE 23,5, 6-10. 2003.

  54. Griethe H. & Schumannn H. The visualization of uncertain data: Methods and problems, in Proceedings SimVis’06, Magdeburg, Germany, 2006.

  55. Brus J. & Dobešová Z. & Ka ňok J. & Pechanec V. Design of intelligent system in cartography. Brad, R. (ed). : Proceedings. 9 RoEduNet IEEE International Conference. Sibiu, University of Sibiu, 112-117s.ISSN 2068-1038. ISBN 978-1-4244-7335-9, 2010.

  56. Shi W. Principles of modeling uncertainties in spatial data and analyses. In. Boca Raton: CRC Press/Taylor & Francis, 2010.

  57. Burrough P.A.& McDonnel R. Principles of geographical information systems. Edtion ed. Oxford: Clarendon Press, 333 p, 1998.

  58. Guptill S.C. & Morrison J. Elements of spatial data quality. Edtion ed. Kidlington: Elsevier Science, 202 p. p. ISBN 0080424325, 1995.

  59. Gray R. M. Entropy and Information Theory. New York: Springer-Verlag, 1990.

  60. Jenness J. & Brost B. & Beier P. Land Facet Corridor Designer: Extension for ArcGIS. Jenness Enterprises, 2011.

  61. Wellmann J.F.& Regenauer-Lieb K. Uncertainties have a meaning: Information entropy as a quality measure for 3-D geological models, Tectonophysics, 2011.

  62. Pechanec V. & Brus J. & Kilianova H. Modeling spatial distribution of ecotones in GIS. Conference Proceedings SGEM 2011, 11th International Multidisciplinary Scientific GeoConference, Sofia, Bulgaria, 637-644s. SGEM2012 - DOI: 10.5593/sgem2012 www.sgem.org

    View DOICrossrefGoogle ScholarWeb of ScienceScopusOpenCitations
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