• Publications
  • Influence
Regionalization with dynamically constrained agglomerative clustering and partitioning (REDCAP)
  • D. Guo
  • Geography, Computer Science
  • Int. J. Geogr. Inf. Sci.
  • 1 July 2008
TLDR
We propose, implements, and evaluate a family of six hierarchical regionalization methods, which significantly outperform existing methods across four quality evaluations. Expand
Flow Mapping and Multivariate Visualization of Large Spatial Interaction Data
  • D. Guo
  • Computer Science, Medicine
  • IEEE Transactions on Visualization and Computer…
  • 1 November 2009
TLDR
Spatial interactions (or flows), such as population migration and disease spread, naturally form a weighted location-to-location network (graph). Expand
A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP)
TLDR
The research reported here integrates computational, visual and cartographic methods to develop a geovisual analytic approach for exploring and understanding spatio-temporal and multivariate patterns. Expand
Spatial data mining and geographic knowledge discovery - An introduction
  • J. Mennis, D. Guo
  • Geography, Computer Science
  • Comput. Environ. Urban Syst.
  • 1 November 2009
TLDR
This paper highlights recent theoretical and applied research in spatial data mining and geographic knowledge discovery to geographic information sciences. Expand
A novel approach to leveraging social media for rapid flood mapping: a case study of the 2015 South Carolina floods
ABSTRACT Rapid flood mapping is critical for local authorities and emergency responders to identify areas in need of immediate attention. However, traditional data collection practices such as remoteExpand
A graph-based approach to vehicle trajectory analysis
TLDR
It is difficult to extract meaningful patterns from massive trajectory data. Expand
Visual analytics of spatial interaction patterns for pandemic decision support
  • D. Guo
  • Geography, Computer Science
  • Int. J. Geogr. Inf. Sci.
  • 8 January 2007
TLDR
We propose a general visual analytic approach to synthesize very large spatial interaction data and discover interesting (and unknown) patterns. Expand
Coordinating Computational and Visual Approaches for Interactive Feature Selection and Multivariate Clustering
  • D. Guo
  • Computer Science
  • Inf. Vis.
  • 1 December 2003
TLDR
This paper describes a human-centered exploration environment, which incorporates a coordinated suite of computational and visualization methods to explore high-dimensional data for uncovering patterns in multivariate spaces. Expand
Multivariate Analysis and Geovisualization with an Integrated Geographic Knowledge Discovery Approach
TLDR
This research integrates computational, visual, and cartographic methods together to detect and visualize multivariate spatial patterns in large geographic datasets. Expand
Understanding U.S. regional linguistic variation with Twitter data analysis
TLDR
We analyze a Big Data set of geo-tagged tweets for a year (Oct. 2013–Oct. 2014) to understand the regional linguistic variation in the U.S. using lexical alternations. Expand
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