Exchanging uncertainty: interoperable geostatistics?

Williams, Matthew, Cornford, Dan, Bastin, Lucy and Ingram, Benjamin R. (2008). Exchanging uncertainty: interoperable geostatistics? IN: geoENV VII – Geostatistics for Environmental Applications. Springer.

Abstract

Traditionally, geostatistical algorithms are contained within specialist GIS and spatial statistics software. Such packages are often expensive, with relatively complex user interfaces and steep learning curves, and cannot be easily integrated into more complex process chains. In contrast, Service Oriented Architectures (SOAs) promote interoperability and loose coupling within distributed systems, typically using XML (eXtensible Markup Language) and Web services. Web services provide a mechanism for a user to discover and consume a particular process, often as part of a larger process chain, with minimal knowledge of how it works. Wrapping current geostatistical algorithms with a Web service layer would thus increase their accessibility, but raises several complex issues. This paper discusses a solution to providing interoperable, automatic geostatistical processing through the use of Web services, developed in the INTAMAP project (INTeroperability and Automated MAPping). The project builds upon Open Geospatial Consortium standards for describing observations, typically used within sensor webs, and employs Geography Markup Language (GML) to describe the spatial aspect of the problem domain. Thus the interpolation service is extremely flexible, being able to support a range of observation types, and can cope with issues such as change of support and differing error characteristics of sensors (by utilising descriptions of the observation process provided by SensorML). XML is accepted as the de facto standard for describing Web services, due to its expressive capabilities which allow automatic discovery and consumption by ‘naive’ users. Any XML schema employed must therefore be capable of describing every aspect of a service and its processes. However, no schema currently exists that can define the complex uncertainties and modelling choices that are often present within geostatistical analysis. We show a solution to this problem, developing a family of XML schemata to enable the description of a full range of uncertainty types. These types will range from simple statistics, such as the kriging mean and variances, through to a range of probability distributions and non-parametric models, such as realisations from a conditional simulation. By employing these schemata within a Web Processing Service (WPS) we show a prototype moving towards a truly interoperable geostatistical software architecture.

Publication DOI: https://doi.org/10.1007/978-90-481-2322-3_28
Divisions: Engineering & Applied Sciences > Computer science
Engineering & Applied Sciences > Computer science research group
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Engineering & Applied Sciences > Sustainable environment research group
Additional Information: geoENV 2008, 8-10 September 2008, Southampton (UK). The original publication is available at www.springerlink.com
Uncontrolled Keywords: automatic geostatistical processing,Web services,INTAMAP project,Open Geospatial Consortium standards,describing observations,sensor webs,Geography Markup Language,GML,interpolation service,change of support,error characteristics of sensors
Full Text Link: http://www.spri ... 613j3q67/about/
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Published Date: 2008
Authors: Williams, Matthew
Cornford, Dan ( 0000-0001-8787-6758)
Bastin, Lucy ( 0000-0003-1321-0800)
Ingram, Benjamin R.

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