Fuzzy modeling with spatial information for geographic problems /

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Bibliographic Details
Imprint:Berlin ; New York : Springer, 2005.
Description:1 online resource (xii, 337 p.) : ill.
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8876598
Hidden Bibliographic Details
Other authors / contributors:Petry, Fred.
Robinson, Vincent B.
Cobb, Maria A.
ISBN:9783540268864
3540268863
Notes:Includes bibliographical references and index.
Description based on print version record.
Summary:Focuses on research advances in approaches for incorporating explicit handling of uncertainty, especially by fuzzy sets, to address geographic problems. This book includes examples of the use of fuzzy sets in representational issues such as terrain features, landscape morphology, spatial extents and approaches for spatial interpolation.
Other form:Print version: Fuzzy modeling with spatial information for geographic problems. Berlin ; New York : Springer, 2005 3540237135 9783540237136
Description
Summary:The capabilities of modern technology are rapidly increasing, spurred on to a large extent by the tremendous advances in communications and computing. Automated vehicles and global wireless connections are some examples of these advances. In order to take advantage of such enhanced capabilities, our need to model and manipulate our knowledge of the geophysical world, using compatible representations, is also rapidly increasing. In response to this one fundamental issue of great concern in modern geographical research is how to most effectively capture the physical world around us in systems like geographical information systems (GIS). Making this task even more challenging is the fact that uncertainty plays a pervasive role in the representation, analysis and use of geospatial information. The types of uncertainty that appear in geospatial information systems are not the just simple randomness of observation, as in weather data, but are manifested in many other forms including imprecision, incompleteness and granularization. Describing the uncertainty of the boundaries of deserts and mountains clearly require different tools than those provided by probability theory. The multiplicity of modalities of uncertainty appearing in GIS requires a variety of formalisms to model these uncertainties. In light of this it is natural that fuzzy set theory has become a topic of intensive interest in many areas of geographical research and applications This volume, Fuzzy Modeling with Spatial Information for Geographic Problems, provides many stimulating examples of advances in geographical research based on approaches using fuzzy sets and related technologies.
Physical Description:1 online resource (xii, 337 p.) : ill.
Bibliography:Includes bibliographical references and index.
ISBN:9783540268864
3540268863