The problem of uncertainty integration and geo-information harmonization

In infrastructural projects, communication between involved parties is difficult. This among other things, is caused by inferior quality and uncertain information concerning collected data and derived real world representations. Particularly in subsurface geotechnical representations uncertainties are high, since only sparse information is available for the interpretation. This leads to the introduction of "interpretational uncertainties" into the representation; that are, uncertainties introduced by the expert using own knowledge and experience for the data interpretation. This, in addition to the variety of data and information types, makes harmonization of geo-information extremely difficult. This paper summarizes available methods and software packages as used by different professionals in infrastructural development for the representation of real world and design objects as well as for the management of geo-information. Furthermore, it emphasizes existing problems and gaps towards harmonized handling of geo-information including uncertainty estimations; with focus on 'interpretational uncertainties' in subsurface representations.

[1]  Jantien Stoter,et al.  Bridging the worlds of CAD and GIS , 2006 .

[2]  E. Sides,et al.  Reconciliation studies and reserve estimation , 1992, Geological Society, London, Special Publications.

[3]  S. Zlatanova 3D GIS for urban development , 2000 .

[4]  Arta Dilo,et al.  Representation of and reasoning with vagueness in spatial information : a system for handling vague objects , 2006 .

[5]  Arko Lucieer,et al.  Uncertainties in segmentation and their visualisation , 2004 .

[6]  Alan Watt,et al.  3D Computer Graphics , 1993 .

[7]  Sisi Zlatanova,et al.  The role of DBMS in the new generation GIS architecture , 2006 .

[8]  Stéphane Bressan,et al.  Introduction to Database Systems , 2005 .

[9]  Christopher B. Jones Data structures for three-dimensional spatial information systems in geology , 1989, Int. J. Geogr. Inf. Sci..

[10]  M. Pilouk Integrated modelling for 3D GIS , 1996 .

[11]  Laércio Massaru Namikawa,et al.  Digital Image Processing in Remote Sensing , 2009, 2009 Tutorials of the XXII Brazilian Symposium on Computer Graphics and Image Processing.

[12]  Robert Hack,et al.  Three and more dimensional modelling in geo-engineering , 2006 .

[13]  Morakot Pilouk,et al.  Trends in 3 D GIS development , 2002 .

[14]  John W. Harbaugh,et al.  Computer Applications in Stratigraphic Analysis , 1968 .

[15]  Martin Breunig,et al.  3D Geo-DBMS , 2005, Encyclopedia of GIS.

[16]  Andreas Meier,et al.  Applying relational database techniques to solid modelling , 1986 .

[17]  Sisi Zlatanova,et al.  Topological models and frameworks for 3D spatial objects , 2004, Comput. Geosci..

[18]  Roberto Lattuada,et al.  3 Three-Dimensional Representations and Data Structures in GIS and AEC , 2006 .

[19]  David J. Maguire,et al.  Design models and functionality in GIS , 1992 .

[20]  Morakot Pilouk,et al.  Trends in 3D GIS Development , 2002 .

[21]  Simon W. Houlding,et al.  Uncertainty, Sampling Control and Risk Assessment , 1994 .

[22]  Philippe Smets,et al.  Imperfect Information: Imprecision and Uncertainty , 1996, Uncertainty Management in Information Systems.

[23]  K. Beard Three dimensional applications in Geographic Information Systems , 1990 .

[24]  B. Orlic,et al.  Predicting Subsurface Conditions for Geotechnical Modelling , 1997 .

[25]  P. Collier,et al.  Uncertainty in Remote Sensing and GIS , 2004 .

[26]  Peter van Oosterom,et al.  Integrated 3D Modelling within a GIS , 1994, AGDM.

[27]  M. Goodchild,et al.  Uncertainty in geographical information , 2002 .