Special Session: Spatial Data Mining and Exploratory Data Analysis

Organized by:
Diansheng Guo (University of South Carolina)
Harvey J. Miller (University of Utah)
Barbara P. Buttenfield (University of Colorado)
Jeremy Mennis (Temple University)

Sponsored by:
• Geographic Information Science Specialty Group
• Spatial Analysis and Modeling Specialty Group
• Cartography Specialty Group

Voluminous geographic data have been, and continue to be, collected with modern data acquisition techniques such as global positioning systems (GPS), high-resolution remote sensing, location-aware services and surveys, and internet-based volunteered geographic information. There is an urgent need for effective and efficient methods to extract unknown and unexpected information from such spatial data sets of unprecedentedly large size, high dimensionality, and complexity. To address these challenges, spatial data mining and geographic knowledge discovery has emerged as an active research field, focusing on the development of theory, methodology, and practice for the extraction of useful information and knowledge from massive and complex spatial data.

An excellent set of presentations have been collected and grouped into three sessions:

SESSION (1) VISUAL / MOVEMENTS

• André Skupin (San Diego State University)
  An Alternative Map of the United States Based on an n-Dimensional Model of Geographic Features
• Daniel Getman (Oak Ridge National Lab)
  Building the Bioenergy Knowledge Discovery Framework: Using Open Source Tools to Support Collaboration, Data Management, Analysis, and Visualization in Bioenergy Infrastructure Research
• Changjoo Kim (University of Cincinnati)
  Network autocorrelation in modeling commodity flows of the U.S.
• Caglar Koylou (University of South Carolina)
  Using Centrality Measures to Discover Structural Characteristics of Large Spatial Interaction Data
• Sarah Williams (Columbia University)
  Wrangling Spatial Data Traces : Unique Uses in Urban Analysis

SESSION (2) STATISTICAL / COMPUTATIONAL

• Peter A. Rogerson (SUNY-Buffalo)
  Optimal Geographic Scales for Local Spatial Statistics
• Jamison F. Conley (University of West Virginia)
  Assessing the Ability to Detect Cluster Shapes Under Data Sampling: How Much Accuracy Is Lost?
• Melissa Rura (UT-Dallas)
  K-color join count for categorical map comparison
• Diansheng Guo (University of South Carolina)
  A Nonparametric Approach to Detect Local Multivariate Relationships
• Harvey Miller (University of Utah)
  Discussant

SESSION (3) EXPLORATORY / TIME

• Lan Mu (University of Georgia)
  An Exploratory Spatial Analysis of Cyber-Behavior of Disease
• Mona Kashiha (UNCC-Charlotte)
  Information Extraction from a Large Unstructured Address Database for Geocoding Purposes
• Dana Bauer (Temple University)
  A Geographically-Weighted Regression Analysis of Green Space and Socioeconomic Character in the Delaware Valley
• Tim Edgar (University of Utah)
  Comparison of top-down and bottom-up approaches to detect significant changes in multiple time series data
• Zhenyu Lu (Syracuse University)
  Object-based Change Detection Using Disparate Remote Sensing Data Sources

We look forward to seeing you in our sessions!

Best wises,

Diansheng Guo.

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Associate Professor
Department of Geography
University of South Carolina
Email: guod@sc.edu
http://www.spatialdatamining.org