WUN E-Seminar Series Kicks Off this Week

On October 26, 2009, in Presentations, Uncategorized, by James Cheshire

This year’s joint e-seminar series will return to the topic of dynamic modelling in a GIS environment.

Date: 28th Oct at 1700 GMT

Title: A dynamic social network model for disease transmission.

Speaker: Ling Bian (Buffalo)

Chair: Kirk Harland (Leeds)

The seminars are open to all. For details of how to join the e-seminar using the Marratech™ video conferencing environment, and further seminars in the same series, see: http://www.wun.ac.uk/ggisa/seminars.html

Dave Unwin (d.unwin@wun.ac.uk) WUN Global GISc Academy Coordinator
Steve Carver (s.j.carver@leeds.ac.uk) University of Leeds

Tagged with:  


On September 4, 2009, in Conference Session, by James Cheshire

Special Session(s): Modeling Geographic Complexity.

Click here for FULL DETAILS.


Understanding geographical systems represents one of the greatest challenges of our time. Complexity has emerged as a useful paradigm to effectively study linked human, socioeconomic and biophysical systems at a variety of different spatial and temporal scales. As a result, descriptive and predictive models of various levels of sophistication and using mostly agents, genetic algorithms, cellular automata and neural networks are now beginning to regularly appear in the geographic literature. However, there still remains many unresolved conceptual, technical and application challenges associated with these complexity based models. The goal of this session is to focus on the following themes:

1. Conceptual: shared and unique complexity signatures in geographic systems; existing and emerging geographical and complexity theories; epistemological and ontological influences; complexity based model designs; networks and hybrid models; linking classical and spatial statistics in complexity studies.

2. Technical: space-time patterns and dynamics; standardizing the development and representation of complex systems; rule selection and implementation; multiple-scale interactions and structure, system evolution and self-organization; learning and adaptation; calibration, validation and verification; path-dependence; non-linearity.

3. Applications: effectiveness of complexity models when embedded in political, institutional and socio-economic systems; human-environment interactions; earth systems science; land use science; landscape ecology; sustainability analysis.

In order to widely disseminate the ideas emerging from this session, the organizers of the session are exploring the possibility for a special issue of a journal and /or an edited book so that authors will have the opportunity to suitably revise their presentations for publication. Priority will be given for work that has not been published, in review or in press.

Please e-mail the abstract and key words with your expression of intent to Andrew Crooks <acrooks2@gmu.edu> by October 19th, 2009.

Tagged with: