Geographic Uncertainty in Environmental Security

On June 28 through July 1, 2006, a NATO advanced research workshop was held in Kyiv, Ukraine. This meeting of scholars from both NATO and NATO partner countries brought together the leading researchers in the field of Fuzziness and Uncertainty in GIS for Environmental Security and Protection. The papers based upon the presentations at this meeting are included in this book. They were all quite good, some focusing on the use of fuzzy sets in geography, others focusing on explicit environmental concerns in Ukraine. What this book cannot show is the camaraderie and spirit of cooperation that permeated the atmosphere of this workshop. These researchers, many of whom had never met before, are now colleagues, and are continuing to collaborate on research to this day, and probably beyond. Scholars from various positions and countries have chosen to work together in the spirit of cooperation to make the ideas presented in this book come to fruition. At press time, we do not know if Ukraine will become a NATO member or not. In any case, the editors wish to thank the NATO Science Committee for their funding, encouragement, and work in making this workshop a reality. We hope that the spirit of cooperation and intellectual curiosity that was so lively at the conference will encourage the reader in the perusal of this work.

Rare collection of scientists specializing in environmental security and protection Unique NATO and NATO partner countries will not be duplicated Researchers in GIS fuzzy logic, environmental science, rough sets and spatial databases

Contenu
Fuzzy Regions: Theory and Applications.- Mapping the Ecotone with Fuzzy Sets.- Issues and Challenges of Incorporating Fuzzy Sets in Ecological Modeling.- Reliability of Vegetation Community Information Derived using Decorana Ordination and Fuzzy c-means Clustering.- A Rough Set-based Approach to Handling Uncertainty in Geographic Data Classification.- Fuzzy Models for Handling Uncertainty in the Integration of High Resolution Remotely Sensed Data and GIS.- Incompleteness, Error, Approximation, and Uncertainty: an Ontological Approach to Data Quality.- A Flexible Decision Support Approach to Model ill-defined Knowledge in GIS.- Development of the Geoinformation System of the State Ecological Monitoring.- Mapping Type 2 Change in Fuzzy Land Cover.- Indexing Implementation for Vague Spatial Regions with R-trees and Grid Files.- Association Rule Mining using Fuzzy Spatial Data Cubes.- Interactive Objects Extraction from Remote Sensing Images.- Classification of Remotely Sensed Data.- Sustainability and Environmental Security Management Tools.- Remote Sensing and GIS Application for Environmental Monitoring and Accidents Control in Ukraine.- ProDec Emergency Procedure Based on Fuzzy Notions for Catchment Management.