Supporting interoperable interpolation: the INTAMAP approach

Matthew Williams, Dan Cornford, Benjamin R. Ingram, Lucy Bastin, Tony Beaumont, Edzer Pebesma, Gregoire Dubois

Research output: Contribution to conferencePaper

Abstract

In many Environmental Information Systems the actual observations arise from a discrete monitoring network which might be rather heterogeneous in both location and types of measurements made. In this paper we describe the architecture and infrastructure for a system, developed as part of the EU FP6 funded INTAMAP project, to provide a service oriented solution that allows the construction of an interoperable, automatic, interpolation system. This system will be based on the Open Geospatial Consortium’s Web Feature Service (WFS) standard. The essence of our approach is to extend the GML3.1 observation feature to include information about the sensor using SensorML, and to further extend this to incorporate observation error characteristics. Our extended WFS will accept observations, and will store them in a database. The observations will be passed to our R-based interpolation server, which will use a range of methods, including a novel sparse, sequential kriging method (only briefly described here) to produce an internal representation of the interpolated field resulting from the observations currently uploaded to the system. The extended WFS will then accept queries, such as ‘What is the probability distribution of the desired variable at a given point’, ‘What is the mean value over a given region’, or ‘What is the probability of exceeding a certain threshold at a given location’. To support information-rich transfer of complex and uncertain predictions we are developing schema to represent probabilistic results in a GML3.1 (object-property) style. The system will also offer more easily accessible Web Map Service and Web Coverage Service interfaces to allow users to access the system at the level of complexity they require for their specific application. Such a system will offer a very valuable contribution to the next generation of Environmental Information Systems in the context of real time mapping for monitoring and security, particularly for systems that employ a service oriented architecture.
Original languageEnglish
Publication statusUnpublished - 27 Jun 2007
EventInternational Symposium on Environmental Software Systems - Prague (CZ)
Duration: 22 May 200725 May 2007

Conference

ConferenceInternational Symposium on Environmental Software Systems
CityPrague (CZ)
Period22/05/0725/05/07

Fingerprint

Interpolation
Information systems
Monitoring
Service oriented architecture (SOA)
World Wide Web
Web services
Probability distributions
Servers
Sensors

Keywords

  • environmental information systems
  • discrete monitoring network
  • interpolation system
  • Open Geospatial Consortium’s Web Feature Service
  • WFS
  • GML3.1 observation feature
  • SensorML
  • R-based interpolation server
  • sequential kriging method
  • Web Map Service
  • Web Coverage Service
  • real time mapping

Cite this

Williams, M., Cornford, D., Ingram, B. R., Bastin, L., Beaumont, T., Pebesma, E., & Dubois, G. (2007). Supporting interoperable interpolation: the INTAMAP approach. Paper presented at International Symposium on Environmental Software Systems, Prague (CZ), .
Williams, Matthew ; Cornford, Dan ; Ingram, Benjamin R. ; Bastin, Lucy ; Beaumont, Tony ; Pebesma, Edzer ; Dubois, Gregoire. / Supporting interoperable interpolation: the INTAMAP approach. Paper presented at International Symposium on Environmental Software Systems, Prague (CZ), .
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keywords = "environmental information systems, discrete monitoring network, interpolation system, Open Geospatial Consortium’s Web Feature Service, WFS, GML3.1 observation feature, SensorML, R-based interpolation server, sequential kriging method, Web Map Service, Web Coverage Service, real time mapping",
author = "Matthew Williams and Dan Cornford and Ingram, {Benjamin R.} and Lucy Bastin and Tony Beaumont and Edzer Pebesma and Gregoire Dubois",
year = "2007",
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note = "International Symposium on Environmental Software Systems ; Conference date: 22-05-2007 Through 25-05-2007",

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Williams, M, Cornford, D, Ingram, BR, Bastin, L, Beaumont, T, Pebesma, E & Dubois, G 2007, 'Supporting interoperable interpolation: the INTAMAP approach' Paper presented at International Symposium on Environmental Software Systems, Prague (CZ), 22/05/07 - 25/05/07, .

Supporting interoperable interpolation: the INTAMAP approach. / Williams, Matthew; Cornford, Dan; Ingram, Benjamin R.; Bastin, Lucy; Beaumont, Tony; Pebesma, Edzer; Dubois, Gregoire.

2007. Paper presented at International Symposium on Environmental Software Systems, Prague (CZ), .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Supporting interoperable interpolation: the INTAMAP approach

AU - Williams, Matthew

AU - Cornford, Dan

AU - Ingram, Benjamin R.

AU - Bastin, Lucy

AU - Beaumont, Tony

AU - Pebesma, Edzer

AU - Dubois, Gregoire

PY - 2007/6/27

Y1 - 2007/6/27

N2 - In many Environmental Information Systems the actual observations arise from a discrete monitoring network which might be rather heterogeneous in both location and types of measurements made. In this paper we describe the architecture and infrastructure for a system, developed as part of the EU FP6 funded INTAMAP project, to provide a service oriented solution that allows the construction of an interoperable, automatic, interpolation system. This system will be based on the Open Geospatial Consortium’s Web Feature Service (WFS) standard. The essence of our approach is to extend the GML3.1 observation feature to include information about the sensor using SensorML, and to further extend this to incorporate observation error characteristics. Our extended WFS will accept observations, and will store them in a database. The observations will be passed to our R-based interpolation server, which will use a range of methods, including a novel sparse, sequential kriging method (only briefly described here) to produce an internal representation of the interpolated field resulting from the observations currently uploaded to the system. The extended WFS will then accept queries, such as ‘What is the probability distribution of the desired variable at a given point’, ‘What is the mean value over a given region’, or ‘What is the probability of exceeding a certain threshold at a given location’. To support information-rich transfer of complex and uncertain predictions we are developing schema to represent probabilistic results in a GML3.1 (object-property) style. The system will also offer more easily accessible Web Map Service and Web Coverage Service interfaces to allow users to access the system at the level of complexity they require for their specific application. Such a system will offer a very valuable contribution to the next generation of Environmental Information Systems in the context of real time mapping for monitoring and security, particularly for systems that employ a service oriented architecture.

AB - In many Environmental Information Systems the actual observations arise from a discrete monitoring network which might be rather heterogeneous in both location and types of measurements made. In this paper we describe the architecture and infrastructure for a system, developed as part of the EU FP6 funded INTAMAP project, to provide a service oriented solution that allows the construction of an interoperable, automatic, interpolation system. This system will be based on the Open Geospatial Consortium’s Web Feature Service (WFS) standard. The essence of our approach is to extend the GML3.1 observation feature to include information about the sensor using SensorML, and to further extend this to incorporate observation error characteristics. Our extended WFS will accept observations, and will store them in a database. The observations will be passed to our R-based interpolation server, which will use a range of methods, including a novel sparse, sequential kriging method (only briefly described here) to produce an internal representation of the interpolated field resulting from the observations currently uploaded to the system. The extended WFS will then accept queries, such as ‘What is the probability distribution of the desired variable at a given point’, ‘What is the mean value over a given region’, or ‘What is the probability of exceeding a certain threshold at a given location’. To support information-rich transfer of complex and uncertain predictions we are developing schema to represent probabilistic results in a GML3.1 (object-property) style. The system will also offer more easily accessible Web Map Service and Web Coverage Service interfaces to allow users to access the system at the level of complexity they require for their specific application. Such a system will offer a very valuable contribution to the next generation of Environmental Information Systems in the context of real time mapping for monitoring and security, particularly for systems that employ a service oriented architecture.

KW - environmental information systems

KW - discrete monitoring network

KW - interpolation system

KW - Open Geospatial Consortium’s Web Feature Service

KW - WFS

KW - GML3.1 observation feature

KW - SensorML

KW - R-based interpolation server

KW - sequential kriging method

KW - Web Map Service

KW - Web Coverage Service

KW - real time mapping

M3 - Paper

ER -

Williams M, Cornford D, Ingram BR, Bastin L, Beaumont T, Pebesma E et al. Supporting interoperable interpolation: the INTAMAP approach. 2007. Paper presented at International Symposium on Environmental Software Systems, Prague (CZ), .