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.
Cognitive Aspects, Representation, and Data Models. Why Do We Keep Turning Time into Space? Representation and Computation of Geographic Dynamics. Complex Networks for Representation and Analysis of Dynamic Geographies. Analysis, Computation, and Modeling. Exploring the Use of Gazetteers and Geocoders for the Analysis and Interpretation of a Dynamically Changing World. Reconstructing Individual-Level Exposure to Environmental Contaminants Using Time-GIS. Analysis of Human Space-Time Behavior: Geovisualization and Geocomputational Approaches. Relating Visual Changes in Images with Spatial Metrics. Visualization and Simulation. Spatio-Temporal Visualization of Built Environments. Visual Analysis of Urban Terrain Dynamics. Mobile, Aware, Intelligent Agents (MAIA). Comparing the Growth Dynamics of Real and Virtual Cities.