From guod@sc.edu Fri Oct 3 16:30:54 2008 From: guod@sc.edu (Diansheng Guo) Date: Fri, 3 Oct 2008 08:30:54 -0700 (PDT) Subject: [SAM] AAG 2009 Session: Spatial Data Mining Message-ID: <342696.16564.qm@web65715.mail.ac4.yahoo.com> --0-324324393-1223047854=:16564 Content-Type: text/plain; charset=us-ascii ************************************************************************ AAG 2009 Session: Spatial Data Mining and Exploratory Data Analysis ************************************************************************ Organized by: Diansheng Guo (University of South Carolina) Jeremy Mennis (Temple University) Sponsored by: Geographic Information Science Specialty Group (pending) Spatial Analysis and Modeling Specialty Group (approved) Cartography Specialty Group (pending) The volume of available geographic data in various domains has increased dramatically due to the growing sophistication and ubiquity of geospatial technologies. Due to the size and complexity, effective analysis and use of these data demand innovative analytical approaches. Spatial data mining addresses this issue by focusing on the discovery, interpretation, and presentation of information embedded in very large and complex geographic data sets. This session invites research contributions in the theory, design, implementation, and application of data mining and exploratory data analysis techniques to spatial and spatio-temporal data. Potential topics include (but not limited to): * Computational algorithms for extracting patterns from spatial data sets * Geovisualization and exploratory analysis methods and applications * Approaches for analyzing high-dimensional and/or noisy spatial data sets * Approaches for analyzing spatio-temporal and path/network data types * Knowledge representation and semantics in spatial data mining and visualization * Applications of existing or new methods to social and/or physical science data * Applications of existing or new methods to support decision-making and planning * Collection and analysis of new types of geographic data (e.g. simulation data, activity data, sensor data, and mobile data) * Collection, fusion, and analysis of heterogeneous or multimedia geographic data (e.g. text, image, video, etc.) To present a paper in the session: * Register and submit your abstract online (http://www.aag.org/annualmeetings/). * Email your presenter identification number (PIN), paper title, and abstract to guod@sc.edu by October 14, 2008. ************************************************************************ --0-324324393-1223047854=:16564 Content-Type: text/html; charset=us-ascii

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AAG 2009 Session:  Spatial Data Mining and Exploratory Data Analysis

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Organized by:             

Diansheng Guo (University of South Carolina)

Jeremy Mennis (Temple University)

Sponsored by:             

Geographic Information Science Specialty Group (pending)

Spatial Analysis and Modeling Specialty Group (approved)

Cartography Specialty Group (pending)

 

The volume of available geographic data in various domains has increased dramatically due to the growing sophistication and ubiquity of geospatial technologies. Due to the size and complexity, effective analysis and use of these data demand innovative analytical approaches. Spatial data mining addresses this issue by focusing on the discovery, interpretation, and presentation of information embedded in very large and complex geographic data sets. This session invites research contributions in the theory, design, implementation, and application of data mining and exploratory data analysis techniques to spatial and spatio-temporal data.  Potential topics include (but not limited to):

  • Computational algorithms for extracting patterns from spatial data sets
  • Geovisualization and exploratory analysis methods and applications
  • Approaches for analyzing high-dimensional and/or noisy spatial data sets
  • Approaches for analyzing spatio-temporal and path/network data types
  • Knowledge representation and semantics in spatial data mining and visualization
  • Applications of existing or new methods to social and/or physical science data
  • Applications of existing or new methods to support decision-making and planning
  • Collection and analysis of new types of geographic data (e.g. simulation data, activity data, sensor data, and mobile data)
  • Collection, fusion, and analysis of heterogeneous or multimedia geographic data (e.g. text, image, video, etc.)

To present a paper in the session:

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--0-324324393-1223047854=:16564-- From kwan.8@osu.edu Wed Oct 29 01:13:37 2008 From: kwan.8@osu.edu (Mei-Po Kwan) Date: Tue, 28 Oct 2008 20:13:37 -0500 Subject: [SAM] CFP: AAG/NIDA Symposium on Geography, HIV/AIDS, and Drug Abuse Message-ID: <7.0.0.16.2.20081028200815.041644d0@osu.edu> The Association of American Geographers (AAG) and the National Institute on Drug Abuse (NIDA) are jointly sponsoring a symposium on Geography, HIV/AIDS, and Drug Abuse. The focus of this symposium is the development of a monograph that highlights the global geography of risk – specifically, drug use/abuse and the risk for HIV/AIDS in a globalizing world. The symposium will be held on March 24, 2009, in conjunction with the AAG Annual Meeting in Las Vegas. Geographers, sociologists, medical researchers, epidemiologists, anthropologists, public health scientists, and others with active research in the geographical dimensions of drug use/abuse and HIV/AIDS are encouraged to apply to participate in the symposium. Themes to be addressed include: • Descriptive and spatial epidemiologic perspectives on the spatial context of HIV/AIDS worldwide • Descriptive and spatial epidemiologic perspectives on the geography of drug use/abuse worldwide • Geographic analysis linking globalization and changes in drug use patterns • Geographic analysis linking other risk such as sexual behaviors and their interrelation with drug use/abuse • Use of Geographic Information Systems in better understanding and responding to the drug abuse-HIV/AIDS nexus • New methodological approaches to spatially linking national, regional, and local determinants of risk behavior related to HIV/AIDS and drug use/abuse • The role of simulations in analyzing changing drug use patterns and the HIV/AIDS epidemic as a dynamic complex system • Spatial diffusion modeling of addictive drug usage use and HIV/AIDS characteristics, including predictive modeling • Interaction of other spatially dependent variables and drug use/abuse and HIV/AIDS in prevention and treatment strategies • Case studies from countries or regions summarizing the role of drug use/abuse in the changing epidemiology of the HIV/AIDS epidemic • Other geographic or medical research relevant to better understanding the drug abuse-HIV/AIDS dynamic If you are interested in participating in this symposium, please submit a 250 word abstract and background information or CV no later than December 10, 2008, to Megan Overbey at moverbey@aag.org. Earlier submission is encouraged. There is no cost for the symposium, but participants must be registered for the AAG Annual Meeting. Some financial assistance is available for those with financial need. -------------------------------------------------------------------- Mei-Po Kwan Distinguished Professor of Social and Behavioral Sciences Dr. Martha L. Corry Faculty Fellow Department of Geography, The Ohio State University http://geog-www.sbs.ohio-state.edu/faculty/mkwan/WebCV/KwanWebCV.html Adjunct Professor of Epidemiology and Biostatistics School of Medicine, Case Western Reserve University Editor, Annals of the Association of American Geographers (Methods, Models, and GIS)