RAS: a regional analysis system integrated with ARC/INFO

Bao, Shuming; Henry, Mark S.; Barkley, David L.; Brooks, Kerry R.

doi:10.1016/0198-9715(94)00030-1

Cited by 12 publications

(2 citation statements)

References 9 publications

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“…The former contains histogram, scatterplot and multiplot, which are graphical tools for single variable, bivariate and multivariable analysis respectively. The latter incorporates some popular spatial autocorrelation measures, which are Moran's I (Moran, 1950), Geary's c (Geary, 1954), LISA (Local indicators of spatial association, Anselin & Getis, 1992;Anselin, 1995;Bao, Henry, Barkley & Brooks, 1995;Bao, Anselin, Martin & Diana, 1998) and Gi (Getis & Ord, 1993). According to the scope or scale of analysis, the first two are global measures and the rest are local measures.…”

Section: Methodsmentioning

confidence: 99%

Spatial Intelligence for Regional Analysis

Zhang

Bao

She

et al. 2014

International Journal of Applied Geospatial Research

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With the announcement of open information policy by the Chinese government, there has been lots of development in government statistics, Census data, and GIS data. That information provides rich reference for regional analysis in China. The primary challenges under rapid data growth include how to efficiently integrate those space-time data, provide methodology for different research targets, and promote their applications in different fields. This report will present some recent developments of spatial intelligence technologies for spatial data integration, data analysis, as well as their applications. The report will introduce the newly developed spatial explorer (China Geo-Explorer) as a joint effort by the University of Michigan China Data Center and Wuhan University. It will demonstrate how space-time data of different formats and sources can be integrated, visualized, analyzed and reported in a web based system. Some applications in disaster assessment, environment and health, cultural and religious studies will be discussed for China and global studies.

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Section: Methodsmentioning

confidence: 99%

Spatial Intelligence for Regional Analysis

Zhang

Bao

She

et al. 2014

International Journal of Applied Geospatial Research

Self Cite

View full text Add to dashboard Cite

show abstract

“…The latter is typically not included in the standard software release but is made possible by taking advantage of macro or script languages supported in the GIS software. Familiar examples include the use of AML (Arc Macro Language) for Arc/Info and the Avenue script language for ArcView to extend the functionality of a GIS with EDA tools (Batty and Xie 1994;Anselin and Bao 1997;Zhang and Gri½th 1997) or descriptive spatial autocorrelation statistics (Ding and Fotheringham 1992;Bao et al 1995;Can 1996). The advantage of such an approach is that the added functions are fully integrated into the familiar GIS data model and user interface.…”

Section: Introductionmentioning

confidence: 99%

Seamless integration of spatial statistics and GIS: The S-PLUS for ArcView and the S+Grassland Links

Bao¹,

Anselin²,

Martin³

et al. 2000

J Geograph Syst

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The extension of the functional capacity of geographic information systems (GIS) with tools for statistical analysis in general and exploratory spatial data analysis (ESDA) in particular has been an increasingly active area of research in recent years. In this paper, two operational implementations that combine the functionality of spatial data analysis software with a GIS are considered more closely. They consist of linkages between the S-PLUS software for data analysis and two di¨erent GIS implementations, the ArcView desktop system, which is mostly vector-oriented, and the primarily rasterbased Grassland open GIS environment. We emphasize conceptual and technical issues related to the software implementation of these approaches and suggest future directions for linking spatial statistics and GIS.

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Application of integration of spatial statistical analysis with GIS to regional economic analysis

Fei

Daosheng²

2004

Geo-spatial Information Science

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RAS: a regional analysis system integrated with ARC/INFO

Cited by 12 publications

References 9 publications

Spatial Intelligence for Regional Analysis

Spatial Intelligence for Regional Analysis

Seamless integration of spatial statistics and GIS: The S-PLUS for ArcView and the S+Grassland Links

Application of integration of spatial statistical analysis with GIS to regional economic analysis

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