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CRC - E60341

Understanding Dynamics of Geographic Domains

active, Most Current
Organization: CRC
Publication Date: 9 April 2008
Status: active
Page Count: 244
scope:

Although the dynamic aspect of the world is widely recognized, information systems have lagged in their ability to represent these dynamics and provide support for users and analysts, especially those who work with dynamic geographic domains. A collection of peer-reviewed articles, Understanding Dynamics of Geographic Domains showcases new research and perspectives on theoretical aspects of geographic dynamics and including novel data modeling and visualization-related studies.

Multidisciplinary Book Brings Together Respected Specialists

Editors Kathleen Stewart Hornsby and May Yuan bring together prominent and respected specialists to create a multidisciplinary book that combines coverage of topics from the perspectives of GIS, computer science, image processing, and information and data processing. Containing an 8-page color insert, the book is divided into three sections that explore the conceptual and cognitive underpinnings of geographic dynamics and data modeling topics; the related analytical and computational approaches; and topics relating to the visualization and simulation of geographic dynamics.

A Milestone for Research Developments

A quick review of the contents and contributors reveals the breadth and depth of knowledge provided. Incorporating theoretical, cognitive, methodological, and applied articles, the coverage is closely related to the national research agenda on Geographic Information Science proposed by the University Consortium of Geographic Information Science (UCGIS). Indeed, the foundations for this book began with a workshop co-sponsored by the UCGIS on the topic of geographic dynamics. This makes the book not only a top-notch reference but also a milestone for research developments in the field.

Document History

E60341
April 9, 2008
Understanding Dynamics of Geographic Domains
Although the dynamic aspect of the world is widely recognized, information systems have lagged in their ability to represent these dynamics and provide support for users and analysts, especially...
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