STARS: Space-Time Analysis of Regional Systems
AbstractSpace-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:  ESDA: exploratory spatial data analysis;  Inequality measures;  Mobility metrics;  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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Bibliographic InfoPaper provided by EconWPA in its series Urban/Regional with number 0406001.
Length: 20 pages
Date of creation: 03 Jun 2004
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Note: Type of Document - pdf; pages: 20
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Space-time; geovisualization; geocomputation; distributional dynamics; inequality.;
Find related papers by JEL classification:
- R - Urban, Rural, Regional, Real Estate, and Transportation Economics
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-06-07 (All new papers)
- NEP-CMP-2004-06-07 (Computational Economics)
- NEP-GEO-2004-06-07 (Economic Geography)
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