Abstract
INTAMAP is a web processing service for the automatic 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 open source solution. The system couples the 52-North web processing service, accepting data in the form of an observations and measurements (O&M) document with a computing back-end realized in the R statistical environment. The probability distribution of interpolation errors is encoded with UncertML, a new markup language 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 anisotropies and extreme values. In the light of the INTAMAP experience, we discuss the lessons learnt.
| Original language | English |
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| Publication status | Published - 2009 |
| Event | StatGIS 2009 - Milos (GR) Duration: 16 Jun 2009 → 18 Jun 2009 |
Conference
| Conference | StatGIS 2009 |
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| City | Milos (GR) |
| Period | 16/06/09 → 18/06/09 |
Bibliographical note
This work is funded by the European Commission, under the Sixth Framework Programme, by the Contract No. 033811 with the DG INFSO, action Line IST-2005-2.5.12 ICT for Environmental Risk Management. The views expressed herein are those of the authors and are not necessarily those of the European Commission. More information on INTAMAP and UncertML can be found on the internet: http://www.intamap.org/ , http://www.uncertml.org/Keywords
- interpolation
- spatial data
- automatic interpolation