Computation and Visualization for Understanding Dynamics in by May Yuan

By May Yuan

The realm is ever altering, and a accomplished knowing of the area usually are not completed with no theoretical and methodological advances to decode advanced dynamics in human and environmental platforms.

Computation and Visualization for the certainty of Dynamics in Geographic domain names: A examine time table synthesizes key rules and concerns mentioned throughout the UCGIS hosted workshop on computation. It expands upon well known discussions to supply a entire assessment of geographic dynamics and new methods to develop our figuring out of geographic dynamics via computation and visualization.

The textual content offers an outline of the nation of study and the way this examine pertains to intelligence research. It addresses vast matters and demanding situations in components, resembling spatiotemporal research and modeling, spatiotemporal visible analytics; spatiotemporal info mining, spatiotemporal reasoning, and spatiotemporal ontologies. The ebook additionally fuses feedback from workshop contributors with literature experiences to suggest new examine agendas and suggestions for destiny advancements and collaboration.

With complete insurance on present advancements and possibly demanding situations, Computation and Visualization for the certainty of Dynamics in Geographic domain names: A examine schedule establishes a starting place to advertise additional reviews in geographic dynamics and gives a springboard for the following significant medical and technological leap forward.

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Extra resources for Computation and Visualization for Understanding Dynamics in Geographic Domains: A Research Agenda

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The concept of change can be applicable to movement and, therefore, change can be considered as the only observable of geographic dynamics. However, location is exogenous to any mobile entity and, therefore, should be considered separately from property changes. Movement involves two essential elements: an individual with a persistent identity and a shift in locations over time. For entities that can be represented by point-based data objects, determination of a location shift is much more straightforward than those represented by linear or areal data objects.

The science of visual analytics covers four main areas of research (Thomas and Cook 2006): Analytical reasoning to discern deep insights for assessment, planning, and decision making Data representation and transformation to resolve conflicting and dynamic data for visualization and interaction Visual representation and interaction to enable exploring multi-dimensional data simultaneously Effective information production, presentation, dissemination, and communication of analytical results The four main areas of visual analytics research together provide an end-to-end model for geographic dynamics understanding.

5: Apply space-time prism constraints to examine movements within a scheduling process (presented by Darren Scott in the workshop; Meyer and Miller 2001). Copyright The McGraw-Hill Companies, Inc. Fundamental to the lifeline data model is the study of Time Geography (Hägerstrand 1970) in which the paths individuals are taking are the basic data constructs. Geospatial lifelines may be determined based on daily activities to evaluate how people individually or collectively use an © 2008 by Taylor & Francis Group, LLC 40 Data Modeling Approaches environmental (or urban) space (Kwan 2004) or based on addresses to examine issues of potential impacts of environmental exposure (Mark and Egenhofer 1998).

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