Space-Time Analysis of Regional Systems (STARS)

Space-Time Analysis of Regional Systems (STARS) is an open-source package designed for the dynamic exploratory analysis of data measured for areal units at multiple modules

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Contributor

contributed at 2018-01-02

Authorship

Affiliation:  
UNIVERSITY OF CALIFORNIA, RIVERSIDE
Email:  
sjsrey@gmail.com
Homepage:  
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Affiliation:  
New Jersey Institute of Technology | NJIT · Department of Information Systems
Email:  
xinyue.ye@njit.edu
Homepage:  
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Classification(s)

Earth System SubjectEarth Surface SystemAnthroposphere
Geography SubjectGIScience & Remote SensingGeostatistics

Detailed Description

Basic Information

Space-Time Analysis of Regional Systems (STARS) is an open-source package designed for the dynamic exploratory analysis of data measured for areal units at multiple modules: Anselin (1995) points in time. STARS consists of four core analytical exploratory spatial data analysis; Anselin (2003) inequality measures; Carlino and Mills (1993) mobility metrics; and Christakos, Bogaert , and Serre (2001)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 most of the series of (GUI) integrates analytical modules interface with a dynamic graphical views containing brushing and linking functionality to support the 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.

 

References

How to cite

Sergio J Rey, Xinyue Ye (2018). Space-Time Analysis of Regional Systems (STARS), Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/6e512338-5c96-45ee-99b9-31d7df3fb311
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Contributor

contributed at 2018-01-02

Authorship

Affiliation:  
UNIVERSITY OF CALIFORNIA, RIVERSIDE
Email:  
sjsrey@gmail.com
Homepage:  
View
Affiliation:  
New Jersey Institute of Technology | NJIT · Department of Information Systems
Email:  
xinyue.ye@njit.edu
Homepage:  
View
Is authorship not correct? Feed back

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