Frontiers of Spatial Autocorrelation

Type: Paper
Theme:
Sponsor Groups: Spatial Analysis and Modeling Specialty Group
Poster #:
Day: 4/4/2019
Start / End Time: 1:10 PM / 2:50 PM (MDT)
Room: Marshall North, Marriott, Mezzanine Level
Organizers: Yongwan Chun, Daniel Griffith
Chairs: Yongwan Chun

Description

Papers summarizing some of the latest research about spatial autocorrelation.


Agenda

Type Details Minutes Start Time
Presenter Lan Hu*, University of Texas - Dallas, Daniel A. Griffith, University of Texas at Dallas, Yongwan Chun, University of Texas at Dallas, Space-time statistical insights about geographic variation in lung cancer incidence rates: Florida, 2000-2011 20 1:10 PM
Presenter Bin Li*, Central Michigan University, Visualizing spatial structure with Moran spectrum 20 1:30 PM
Presenter Hyun Kim*, Department of Geography, University of Tennessee, TN, Daniel A Griffith, School of Economic, Political and Policy Sciences, The University of Texas at Dallas, TX, Yongwan Chun, School of Economic, Political and Policy Sciences, The University of Texas at Dallas, TX, Using spatial autocorrelation to help solve the p-median problem 20 1:50 PM
Presenter Dan S. Long*, USDA - Agricultural Research Service, Adams, OR, Daniel A. Griffith, University of Texas, Dallas, Craig K. Kvien, University of Georgia, Tifton, Interpreting spatial variation in multi-year yield data using eigenvector spatial filtering 20 2:10 PM
Presenter Yongwan Chun*, The University of Texas at Dallas, Daniel A. Griffith, The University of Texas at Dallas, Impacts of positive-negative spatial autocorrelation mixtures on frequency distributions 20 2:30 PM

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