This book features papers presented at a NATO Advanced Research Workshop, help in Kyiv, Ukraine, in July 2006. The workshop focused on how uncertainty and fuzziness can be better modeled and implemented in Geographic Information Science to help decision makers make more informed choices, especially as they pertain to environmental security and protection, and brought together top researchers from both NATO countries as well as partner countries.

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Preface and acknowledgement. Resolution of Ukrainian sponsor and workshop participants 1. Fuzzy regions: theory and applications; J. Verstraete et al.- 2. Mapping the ecotone with fuzzy sets; Ch. Arnot and P. Fisher.- 3. Issues and challenges of incorporating fuzzy sets in ecological modeling; V.B. Robinson.- 4. Reliability of vegetation community information derived using decorana ordination and fuzzy c-means clustering; L. Bastin et al.- 5. A rough set-based approach to handling uncertainty in geographic data classification; P. Jankowski.- 6. Fuzzy models for handling uncertainty in the integration of high resolution remotely sensed data and GIS; J. Schiewe and M. Ehlers.- 7. Incompleteness, error, approximation, and uncertainty: an ontological approach to data quality; A. Frank.- 8. A flexible decision support approach to model ill-defined knowledge in GIS; G. Bordogna et al.- 9. Development of the geoinformation system of the state ecological monitoring; V.B. Mokin.- 10. Mapping type 2 change in fuzzy land cover; P. Fisher and Ch. Arnot.- 11. Indexing implementation for vague spatial regions with R tree and grid files; F.E. Petry et al.- 12. Association rule mining using fuzzy spatial data cubes; A. Yazici.- 13. Interactive objects extraction from remote sensing images; V. Bucha.- 14. Classification of remotely sensed data; S. Kokhan.- 15. Sustainability and environmental security management tools; A. Gorobets.- 16. Remote sensing and GIS application for environmental monitoring and accidents control in Ukraine; D.K. Mozgoviy et al.- 17. ProDec - emergency procedure based on fuzzy notions for catchment management; J.W. Owsinski and A. Ziólkowski.