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STARS: Space-Time Analysis of Regional Systems

Listed author(s):
  • Sergio J. Rey

    (San Diego State University)

  • Mark V. Janikas

    (San Diego State University)

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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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
Handle: RePEc:wpa:wuwpur:0406001
Note: Type of Document - pdf; pages: 20
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  1. Sergio J. Rey & Boris Dev, 2004. "Sigma-convergence in the presence of spatial effects," Urban/Regional 0404008, EconWPA, revised 22 Apr 2004.
  2. Sergio J. Rey & Mark V. Janikas, 2003. "Convergence and space," Urban/Regional 0311002, EconWPA, revised 16 Nov 2003.
  3. 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.
  4. 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.
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