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STARS: Space-Time Analysis of Regional Systems

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Author Info

  • Sergio J. Rey

    (San Diego State University)

  • Mark V. Janikas

    (San Diego State University)

Abstract

Space-Time Analysis of Regional Systems (STARS) is an open source package designed for dynamic exploratory analysis of data measured for areal units at multiple points in time. STARS consists of four core analytical modules: [1] ESDA: exploratory spatial data analysis; [2] Inequality measures; [3] Mobility metrics; [4] Spatial Markov. Developed using the Python object oriented scripting language, STARS lends itself to three main modes of use. Within the context of a command line interface (CLI), STARS can be treated as a package which can be called from within customized scripts for batch oriented analyses and simulation. Alternatively, a graphical user interface (GUI) integrates most of the analytical modules with a series of dynamic graphical views containing brushing and linking functionality to support interactive exploration of the spatial, temporal and distributional dimensions of socioeconomic and physical processes. Finally, the GUI and CLI modes can be combined for use from the Python shell to facilitate interactive programming and access to the many libraries contained within Python. This paper provides an overview of the design of STARS, its implementation, functionality and future plans. A selection of its analytical capabilities are also illustrated that highlight the power and flexibility of the package.

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File URL: http://128.118.178.162/eps/urb/papers/0406/0406001.pdf
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Bibliographic Info

Paper provided by EconWPA in its series Urban/Regional with number 0406001.

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Length: 20 pages
Date of creation: 03 Jun 2004
Date of revision:
Handle: RePEc:wpa:wuwpur:0406001

Note: Type of Document - pdf; pages: 20
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Web page: http://128.118.178.162

Related research

Keywords: Space-time; geovisualization; geocomputation; distributional dynamics; inequality.;

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References

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  1. Carlino, Gerald A. & Mills, Leonard O., 1993. "Are U.S. regional incomes converging? : A time series analysis," Journal of Monetary Economics, Elsevier, vol. 32(2), pages 335-346, November.
  2. J. Symanzik & T. K├Âtter & S. Schmelzer & S. Klinke, 1997. "Spatial Data Analysis in the Dynamically Linked ArcView/XGobi/XploRe Environment," SFB 373 Discussion Papers 1997,49, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  3. Sergio J. Rey & Mark V. Janikas, 2003. "Convergence and space," Urban/Regional 0311002, EconWPA, revised 16 Nov 2003.
  4. Sergio J. Rey & Boris Dev, 2004. "Sigma-convergence in the presence of spatial effects," Urban/Regional 0404008, EconWPA, revised 22 Apr 2004.
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Citations

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Cited by:
  1. Luc Anselin, 2012. "From SpaceStat to CyberGIS," International Regional Science Review, , vol. 35(2), pages 131-157, April.
  2. Marcia Castro, 2007. "Spatial Demography: An Opportunity to Improve Policy Making at Diverse Decision Levels," Population Research and Policy Review, Springer, vol. 26(5), pages 477-509, December.
  3. Alan T. Murray, 2010. "Quantitative Geography," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 143-163.
  4. repec:asg:wpaper:1007 is not listed on IDEAS
  5. Daniel ARRIBAS-BEL & Fernando SANZ GRACIA & Domingo P. XIMENEZ-DE-EMBUN, 2012. "Kangaroos, Cities And Space: A First Approach To The Australian Urban System," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 36, pages 165-187.
  6. repec:asg:wpaper:1008 is not listed on IDEAS
  7. Sergio Rey & Richard Smith, 2013. "A spatial decomposition of the Gini coefficient," Letters in Spatial and Resource Sciences, Springer, vol. 6(2), pages 55-70, July.
  8. Ye, Xinyue & Yue, Wenze, 2014. "Comparative analysis of regional development: Exploratory space-time data analysis and open source implementation," Economics Discussion Papers 2014-20, Kiel Institute for the World Economy.
  9. Getis, Arthur, 2007. "Reflections on spatial autocorrelation," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 491-496, July.
  10. Mark V. Janikas & Sergio J. Rey, 2005. "Spatial Clustering, Inequality and Income Convergence," Urban/Regional 0501002, EconWPA.
  11. Julian Ramajo & Miguel A. Marquez & Geoffrey J.D. Hewings, 2013. "Spatio-temporal Analysis of Regional Systems: A Multiregional Spatial Vector Autoregressive Model for Spain," ERSA conference papers ersa13p159, European Regional Science Association.
  12. repec:asg:wpaper:1047 is not listed on IDEAS
  13. Mark V. JANIKAS & Sergio J. REY, 2005. "Spatial Clustering, Inequality And Income Convergence," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 21, pages 45-64.
  14. repec:asg:wpaper:1009 is not listed on IDEAS

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