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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)

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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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Publisher 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
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Handle: RePEc:wpa:wuwpur:0406001

Note: Type of Document - pdf; pages: 20
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Web page: http://129.3.20.41

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

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Find related papers by JEL classification:
R - Urban, Rural, and Regional Economics

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Sergio J. Rey & Boris Dev, 2004. "Sigma-convergence in the presence of spatial effects," Urban/Regional 0404008, EconWPA, revised 22 Apr 2004. [Downloadable!]
  2. J. Symanzik & T. Kötter & S. Schmelzer & S. Klinke, . "Spatial Data Analysis in the Dynamically Linked ArcView/XGobi/XploRe Environment," Sonderforschungsbereich 373 1997-49, Humboldt Universitaet Berlin.
  3. Sergio J. Rey & Mark V. Janikas, 2003. "Convergence and space," Urban/Regional 0311002, EconWPA, revised 16 Nov 2003. [Downloadable!]
  4. 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. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. 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. [Downloadable!] (restricted)
  2. Mark V. Janikas & Sergio J. Rey, 2005. "Spatial Clustering, Inequality and Income Convergence," Urban/Regional 0501002, EconWPA. [Downloadable!]
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