By May Yuan
The realm is ever altering, and a complete figuring out of the realm aren't completed with out theoretical and methodological advances to decode advanced dynamics in human and environmental structures.
Computation and Visualization for the knowledge of Dynamics in Geographic domain names: A examine schedule synthesizes key principles and concerns mentioned through the UCGIS hosted workshop on computation. It expands upon renowned discussions to supply a complete review of geographic dynamics and new ways to strengthen our figuring out of geographic dynamics via computation and visualization.
The textual content provides an summary of the nation of study and the way this examine pertains to intelligence research. It addresses extensive matters and demanding situations in parts, reminiscent of spatiotemporal research and modeling, spatiotemporal visible analytics; spatiotemporal information mining, spatiotemporal reasoning, and spatiotemporal ontologies. The booklet additionally fuses feedback from workshop members with literature stories to suggest new study agendas and suggestions for destiny advancements and collaboration.
With complete assurance on present advancements and doubtless demanding situations, Computation and Visualization for the certainty of Dynamics in Geographic domain names: A study time table establishes a beginning to advertise extra stories in geographic dynamics and offers a springboard for the subsequent giant clinical and technological leap forward.
Read Online or Download Computation and Visualization for Understanding Dynamics in Geographic Domains: A Research Agenda PDF
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Additional info for Computation and Visualization for Understanding Dynamics in Geographic Domains: A Research Agenda
Many geographic objects can split into two objects or merge into one object. Many © 2008 by Taylor & Francis Group, LLC Computation and Visualization of Dynamics in Geographic Domains 29 of them have multiple definitions depending upon perspectives. New developments in video analysis and tracking algorithms can probe new GIS methods to identify movement in time-series data. However, effective handling of splitting and merging geographic objects remains a research challenge when understanding geographic dynamics.
The idea is used to represent storm processes through a hierarchical framework that captures footprints and transitions during a storm’s development (Yuan 2001b; McIntosh and Yuan 2005a). The representation starts with zone data objects to represent spatial footprints of a storm at different times. The hierarchical framework links zone data objects over time to form a sequence data object that tracks the locations and geometries of the storm over space and time. To account for merging and splitting during the storm development, a process data object is used to embed joint sequences that result from splitting an original sequence or from merging two sequences.
Geographic dynamics is complex, multi-dimensional, and multi-scalar. Understanding geographic dynamics, consequently, demands comprehensive approaches to address histories, behaviors, consequences, relationships, interactions, and evolution in space and time. Methods have been and are being developed for understanding geographic dynamics. Some methods may be categorized as “storytelling” with emphases on replaying activities, events, and processes. Animation and exploratory visualization techniques fall in this category.