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Metadata and provenance for spatial analysis: the case of spatial weights.

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Title: Metadata and provenance for spatial analysis: the case of spatial weights.
Authors: Anselin, Luc1 (AUTHOR) luc.anselin@asu.edu, Rey, Sergio J.1 (AUTHOR), Li, Wenwen1 (AUTHOR)
Source: International Journal of Geographical Information Science. Nov2014, Vol. 28 Issue 11, p2261-2280. 20p.
Subjects: Geographic spatial analysis, Metadatabases, Geographic information systems, Provenance (Geology), Internetworking
Abstract: Within a CyberGIS environment, the development of effective mechanisms to encode metadata for spatial analytical methods and to track the provenance of operations is a key requirement. Spatial weights are a fundamental element in a wide range of spatial analysis methods that deal with testing for and estimating models with spatial autocorrelation. They form the link between the data structure in a GIS and the spatial analysis methods. Over time, the number of formats for spatial weights implemented in software has proliferated, without any standard or easy interoperability. In this paper, we propose a flexible format that provides a way to ensure interoperability within a cyberinfrastructure environment. We illustrate the format with an application of a spatial weights web service, which is part of an evolving spatial analytical workbench. We describe an approach to embed provenance in spatial weights structures and illustrate the performance of the web service by means of a number of small experiments. [ABSTRACT FROM PUBLISHER]
Copyright of International Journal of Geographical Information Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Metadata and provenance for spatial analysis: the case of spatial weights.
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  Data: <searchLink fieldCode="AR" term="%22Anselin%2C+Luc%22">Anselin, Luc</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> luc.anselin@asu.edu</i><br /><searchLink fieldCode="AR" term="%22Rey%2C+Sergio+J%2E%22">Rey, Sergio J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Wenwen%22">Li, Wenwen</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Geographical+Information+Science%22">International Journal of Geographical Information Science</searchLink>. Nov2014, Vol. 28 Issue 11, p2261-2280. 20p.
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  Data: <searchLink fieldCode="DE" term="%22Geographic+spatial+analysis%22">Geographic spatial analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Metadatabases%22">Metadatabases</searchLink><br /><searchLink fieldCode="DE" term="%22Geographic+information+systems%22">Geographic information systems</searchLink><br /><searchLink fieldCode="DE" term="%22Provenance+%28Geology%29%22">Provenance (Geology)</searchLink><br /><searchLink fieldCode="DE" term="%22Internetworking%22">Internetworking</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Within a CyberGIS environment, the development of effective mechanisms to encode metadata for spatial analytical methods and to track the provenance of operations is a key requirement. Spatial weights are a fundamental element in a wide range of spatial analysis methods that deal with testing for and estimating models with spatial autocorrelation. They form the link between the data structure in a GIS and the spatial analysis methods. Over time, the number of formats for spatial weights implemented in software has proliferated, without any standard or easy interoperability. In this paper, we propose a flexible format that provides a way to ensure interoperability within a cyberinfrastructure environment. We illustrate the format with an application of a spatial weights web service, which is part of an evolving spatial analytical workbench. We describe an approach to embed provenance in spatial weights structures and illustrate the performance of the web service by means of a number of small experiments. [ABSTRACT FROM PUBLISHER]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Geographical Information Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1080/13658816.2014.917313
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 2261
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      – SubjectFull: Geographic spatial analysis
        Type: general
      – SubjectFull: Metadatabases
        Type: general
      – SubjectFull: Geographic information systems
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      – SubjectFull: Provenance (Geology)
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      – SubjectFull: Internetworking
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              M: 11
              Text: Nov2014
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