Spatial Data Quality: Problems and Prospects

This paper reflects upon the topic of spatial data quality and the progress made in this field over the past 20-30 years. While international standards have been established, theoretical models of error developed, new visualization techniques introduced, and metadata now routinely documented for spatial datasets, difficulties nevertheless exist with the way data quality information is being described, communicated and applied in practice by users. These problems are identified and the paper suggests how the spatial information community might move forward to overcome these obstacles.

[1]  Gerard B. M. Heuvelink,et al.  Propagation of errors in spatial modelling with GIS , 1989, Int. J. Geogr. Inf. Sci..

[2]  Stefano Tarantola,et al.  Uncertainty and sensitivity analysis: tools for GIS-based model implementation , 2001, Int. J. Geogr. Inf. Sci..

[3]  Matt Duckham,et al.  Integrated Storage and Querying of Spatially Varying Data Quality Information in a Relational Spatial Database , 2009, Trans. GIS.

[4]  K. Lowell,et al.  Spatial Accuracy Assessment : Land Information Uncertainty in Natural Resources , 1999 .

[5]  Gary J. Hunter,et al.  WHAT COMMUNICATES QUALITY TO THE SPATIAL DATA CONSUMER , 2007 .

[6]  P. Burrough,et al.  Geographic Objects with Indeterminate Boundaries , 1996 .

[7]  David J. Maguire,et al.  Geographical Information Systems , 1993 .

[8]  Robert Jeansoulin,et al.  Towards spatial data quality information analysis tools for experts assessing the fitness for use of spatial data , 2007, Int. J. Geogr. Inf. Sci..

[9]  E.Bruce MacDougall,et al.  The accuracy of map overlays , 1975 .

[10]  S. Guptill,et al.  Elements of Spatial Data Quality , 1995 .

[11]  P. A. Burrough,et al.  Development of intelligent geographical information systems , 1992, Int. J. Geogr. Inf. Sci..

[12]  Donna Peuquet,et al.  Making Space for Time: Issues in Space-Time Data Representation , 2001, GeoInformatica.

[13]  P. Burrough.  Principles of Geographical Information Systems for Land Resources Assessment , 1986 .

[14]  Michael F. Goodchild,et al.  Spatial Data Quality , 2002 .

[15]  Nicholas Chrisman,et al.  THE ERROR COMPONENT IN SPATIAL DATA , 2005 .

[16]  Vincent B. Robinson,et al.  ABOUT DIFFERENT KINDS OF UNCERTAINTY IN COLLECTIONS OF SPATIAL DATA , 2008 .

[17]  Harold Moellering,et al.  Spatial database transfer standards : current international status , 1991 .

[18]  K. Beven.  On model uncertainty, risk and decision making , 2000 .

[19]  Arnold Bregt,et al.  Assessing fitness for use: the expected value of spatial data sets , 2001, Int. J. Geogr. Inf. Sci..

[20]  Ian Williamson,et al.  Spatial Data Infrastructure Concepts , 1999 .

[21]  Michael Blakemore,et al.  Part 4: Mathematical, Algorithmic and Data Structure Issues: Generalisation and Error in Spatial Data Bases , 1984 .

[22]  Stan Openshaw,et al.  Learning to live with errors in spatial databases , 1989 .

[23]  Duane F. Marble,et al.  Some thoughts on the integration of spatial analysis and Geographic Information Systems , 2000, J. Geogr. Syst..

[24]  Nicholas Chrisman,et al.  Part 2: Issues and Problems Relating to Cartographic Data Use, Exchange and Transfer: The Role Of Quality Information In The Long-Term Functioning Of A Geographic Information System , 1984 .

[25]  P A J van Oort,et al.  Do Users Ignore Spatial Data Quality? A Decision‐Theoretic Perspective , 2005, Risk analysis : an official publication of the Society for Risk Analysis.

[26]  Michael F. Goodchild,et al.  Part 1 Spatial analysts and GIS practitioners , 2000, J. Geogr. Syst..

[27]  Gary J Hunter,et al.  A GIS with the Capacity for Managing Data Quality Information , 2002 .

[28]  Berman D. Hudson,et al.  Concepts of Soil Mapping and Interpretation , 1990 .

[29]  Oliver Günther,et al.  Progress in computational methods for representing geographical concepts , 1999, Int. J. Geogr. Inf. Sci..