For this book, we defined uncertainty as “the state of knowledge about a relationship between the world, and a statement about the world.” There were several reasons I began working on the topic of spatial uncertainty, and they help reinforce the summary points I want each reader to remember. These include bringing disparate spatial data sets together for analysis with GIS, work with landscape pattern metrics and regional ecological risk assessment, and an exposure to the diverse aspects of geography. I worked for many years on regional or landscape analyses that require spatial data for large geographic areas. Scientists are often happy just to be able to find digital data for vegetation, soils, and topography, let alone worry about their accuracy. Available data are usually at different spatial resolutions and were developed for different purposes, so one is almost immediately faced with some uncertainty issues, although it may not be obvious.


Spatial Data Landscape Pattern Ecological Risk Assessment Multivariate Statistical Model Spatial Uncertainty 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Goodchild, M.F., B.O. Parks, and L.T. Steyaert, eds. 1993. Environmental modeling with GIS. Oxford University Press, New York.Google Scholar
  2. Goodchild, M.F., L.T. Steyaert, B.O. Parks, C. Johnston, D. Maidment, M. Crane, et al., eds. 1996. GIS and environmental modeling: progress and research issues. GIS World Books, Fort Collins, CO.Google Scholar
  3. Graham, R.L., C.T. Hunsaker, R.V. O’Neill, and B.L. Jackson. 1991. Regional ecological risk assessment. Ecological Applications 1(2): 196–206.CrossRefGoogle Scholar
  4. Hunsaker, CT., R.L. Graham, L.W. Barnthouse, R.H. Gardner, R.V. O’Neill, and G.W. Suter. 1990. Assessing ecological risk on a regional scale. Environmental Management 14(3):325–332.CrossRefGoogle Scholar
  5. Hunsaker, C.T., R.V. O’Neill, S.P. Timmins, B.L. Jackson, D.A. Levine, and D.J. Norton. 1994. Sampling to characterize landscape pattern. Landscape Ecology 9(3):207–226CrossRefGoogle Scholar
  6. Ludwig, D., R. Hilborn, and C Walters. 1993. Uncertainty, Resource Exploitation, and Conservation: Lessons from History. Science 260:17, 36.PubMedCrossRefGoogle Scholar
  7. O’Neill, R.V., C.T. Hunsaker, S.P. Timmins, B.L. Jackson, K.B. Jones, K.H. Riitters, et al. 1996. Scale problems in reporting landscape pattern at the regional scale. Landscape Ecology 11(3): 169–180.CrossRefGoogle Scholar
  8. Riitters, K.H., R.V. O’Neill, C.T. Hunsaker, J.D. Wickham, D.H. Yankee, S.P. Timmins, et al. 1995. A factor analysis of landscape pattern and structure metrics. Landscape Ecology 10(1):23–39.CrossRefGoogle Scholar
  9. Suter, G.W., IL Endpoints for regional ecological risk assessments. Environmental Management 14:9–23.Google Scholar

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© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Carolyn T. Hunsaker

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