TY - JOUR
T1 - INTAMAP: the design and implementation of an interoperable automated interpolation web service
AU - Pebesma, Edzer
AU - Cornford, Dan
AU - Dubois, Gregoire
AU - Heuvelink, Gerard B.M.
AU - Hristopoulos, Dionisis
AU - Pilz, Jürgen
AU - Stöhlker, Ulrich
AU - Gary, Morin
AU - Skøien, Jon O.
PY - 2011/3
Y1 - 2011/3
N2 - INTAMAP is a Web Processing Service for the automatic spatial interpolation of measured point data. Requirements were (i) using open standards for spatial data such as developed in the context of the Open Geospatial Consortium (OGC), (ii) using a suitable environment for statistical modelling and computation, and (iii) producing an integrated, open source solution. The system couples an open-source Web Processing Service (developed by 52°North), accepting data in the form of standardised XML documents (conforming to the OGC Observations and Measurements standard) with a computing back-end realised in the R statistical environment. The probability distribution of interpolation errors is encoded with UncertML, a markup language designed to encode uncertain data. Automatic interpolation needs to be useful for a wide range of applications and the algorithms have been designed to cope with anisotropy, extreme values, and data with known error distributions. Besides a fully automatic mode, the system can be used with different levels of user control over the interpolation process.
AB - INTAMAP is a Web Processing Service for the automatic spatial interpolation of measured point data. Requirements were (i) using open standards for spatial data such as developed in the context of the Open Geospatial Consortium (OGC), (ii) using a suitable environment for statistical modelling and computation, and (iii) producing an integrated, open source solution. The system couples an open-source Web Processing Service (developed by 52°North), accepting data in the form of standardised XML documents (conforming to the OGC Observations and Measurements standard) with a computing back-end realised in the R statistical environment. The probability distribution of interpolation errors is encoded with UncertML, a markup language designed to encode uncertain data. Automatic interpolation needs to be useful for a wide range of applications and the algorithms have been designed to cope with anisotropy, extreme values, and data with known error distributions. Besides a fully automatic mode, the system can be used with different levels of user control over the interpolation process.
KW - environmental data
KW - environmental information
KW - in situ sensors
KW - spatial interpolation
KW - geostatistics
KW - OGC
KW - SOA
UR - http://www.scopus.com/inward/record.url?scp=79952191338&partnerID=8YFLogxK
U2 - 10.1016/j.cageo.2010.03.019
DO - 10.1016/j.cageo.2010.03.019
M3 - Article
SN - 0098-3004
VL - 37
SP - 343
EP - 352
JO - Computers and Geosciences
JF - Computers and Geosciences
IS - 3
ER -