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GEOG 510: GIS for the Social Sciences and Humanities

 

Course Time: Tuesday and Thursday at 1:15 - 2:30 pm  [Spring 2016]

Introduction

Big spatial and spatial-temporal data have been, and continue to be, collected with global positioning systems, mobile devices, citizen participation, high-resolution remote sensing, census surveys, and volunteered ge

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Mapping Family Connectedness across Space and Time

Understanding the structure and evolution of family networks embedded in space and time is crucial for various fields such as disaster evacuation planning and provision of care to the elderly. Computation and visualization can potentially play a key role in analyzing and understanding such networks.

iRedistrict: A Redistricting Software with Human-Computer Collaboration

iRedistrict is a patent-pending redistricting software, with powerful optimization algorithms and intuitive user control.

Related Publication: 
  • The methodology and software system is patent-pending.

Here is short demo of an old version of the software.

iRedistrict is hosted at: https://services.zillioninfo.com. You can sign up an account and try. 

Flow Mapping with Graph Partitioning and Regionalization

Flow Mapping with Graph Partitioning and Regionalization is an integrated software tool to explore flow patterns in large spatial interaction data.

Related Publication: 
  • Guo, D. (2009). "Flow Mapping and Multivariate Visualization of Large Spatial Interaction Data", IEEE Transactions on Visualization and Computer Graphics15(6), pp. 1041-1048 [Journal Link]
  • Guo, D. (2009). "Greedy Optimization for Contiguity-Constrained Hierarchical Clustering", The Fourth International Workshop on Spatial and Spatiotemporal Data Mining, IEEE International Conference on Data Mining (ICDM 2009), Miami, FL.

For the software, please contact info@zillioninfo.com. Java is needed to run the following software. You can verify if Java is already installed on your computer at this link: http://java.com/en/download/installed.jsp

REDCAP: Regionalization with Constrained Clustering and Partitioning

Regionalization is to divide a large set of spatial objects into a number of spatially contiguous regions while optimizing an objective function, which is normally a homogeneity (or heterogeneity) measure of the derived regions.

Related Publication: 
  • Guo, D. and H. Wang (2011). "Automatic Region Building for Spatial Analysis", Transactions in GIS, 15(s1), pages 29-45. [Journal Link]
  • Guo, D. (2008). "Regionalization with Dynamically Constrained Agglomerative Clustering and Partitioning (REDCAP)".International Journal of Geographical Information Science. 22(7), pp. 801-823.
  • Guo, D. (2009). "Greedy optimization for contiguity constrained hierarchical clustering", The 4th International Workshop on Spatial and Spatiotemporal Data Mining, IEEE International Conference on Data Mining, pp. 591-596.
  • Guo, D., M. Gahegan, A.M. MacEachren, and B. Zhou. "Multivariate Analysis and Geovisualization with an Integrated Geographic Knowledge Discovery Approach".Cartography and Geographic Information Science,Vol. 32, No. 2, 2005, pp. 113-132.
  • Guo, D., J. Chen, A. M. MacEachren, and K. Liao (2006), "A Visualization System for Spatio-Temporal and Multivariate Patterns (VIS-STAMP)", IEEE Transactions on Visualization and Computer Graphics, 12(6), pp. 1461-1474.

For the software, please contact info@zillioninfo.com, providing necessary information such as your name, title, institution, and a brief  description of your project that needs the software.

Java is needed to run the following software. You can verify if Java is already installed on your computer at this link: http://java.com/en/download/installed.jsp.

VIS-STAMP: A Visualization System for Space-Time and Multivariate Patterns

VIS-STAMP is a geo-visual analytic software package that couples computational, visual, and cartographic methods for exploring and understanding spatio-temporal and multivariate data. It can help analysts investigate complex patterns across multivariate, spatial, and temporal dimensions via clustering, sorting, and visualization.

Related Publication: 
  • Guo, D., J. Chen, A. M. MacEachren, and K. Liao (2006), "A Visualization System for Spatio-Temporal and Multivariate Patterns (VIS-STAMP)", IEEE Transactions on Visualization and Computer Graphics, 12(6), pp. 1461-1474. 
  • Guo, D. and M. Gahegan (2006). "Spatial Ordering and Encoding for Geographic Data Mining and Visualization", Journal of Intelligent Information Systems, 27(3), pp.243-266.
  • Guo, D., K. Liao, M. Morgan (2007). "Visualizing Patterns in a Global Terrorism Incident Database", Environment and Planning B: Planning and Design. 34, pp. 767-784.
  • Jin, H. & D. Guo. (2009) "Understanding Climate Change Patterns with Multivariate Geovisualization". In Proceedings - IEEE International Conference on Data Mining Workshops, 217-222. Miami, FL, USA: IEEE Press.
  • Guo D. and J. Wu* (2012). "Understanding Spatio-temporal Patterns of Multiple Crime Types with a Geovisual Analytics Approach", Crime Modeling and Mapping Using Geospatial Technologies , edited by M. Leitner. Springer.

For the software, please contact info@zillioninfo.com and provide necessary information such as your name, title, institution, and a brief  description of your project that needs the software.

SOMVIS: Multivariate Mapping and Visualization

SomVis is an integrated software tool that is able to: (1) perform multivariate analysis, dimensional reduction, and data reduction (summarizing a large number of input data items in a moderate number of clusters) with the Self-Organizing Map (SOM); (2) encode theSOM result with a systematically designed color scheme; (3) visualize the multivariate patterns with a modified Parallel Coordinate Plot (PCP) d

Related Publication: 
  • Guo, D., M. Gahegan, A.M. MacEachren, and B. Zhou. (2005) "Multivariate Analysis and Geovisualization with an Integrated Geographic Knowledge Discovery Approach". Cartography and Geographic Information Science,Vol. 32, No. 2, pp. 113-132. (Publications that cited this paper)
  • Guo, D., J. Chen, A. M. MacEachren, and K. Liao (2006), "A Visualization System for Spatio- Temporal and Multivariate Patterns (VIS-STAMP)", IEEE Transactions on Visualization and Computer Graphics, 12(6), pp. 1461-1474. (Publications that cited this paper)
  • Jin, H. & D. Guo. (2009) "Understanding Climate Change Patterns with Multivariate Geovisualization". In Proceedings - IEEE International Conference on Data Mining Workshops, 217-222. Miami, FL, USA: IEEE Press.
  • Guo, D. (2009) "Multivariate Spatial Clustering and Geovisualization". In Geographic Data Mining and Knowledge Discovery, edited by H. J. Miller and J. Han. London and New York, Taylor & Francis, pp. 325-345.

For the software, please contact info@zillioninfo.com, providing necessary information such as your name, title, institution, and a brief  description of your project that needs the software.

Java is needed to run the following software. You can verify if Java is already installed on your computer at this link: http://java.com/en/download/installed.jsp.

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