INTAMAP Publications
Published peer reviewed journal papers
Baume, O., J. O. Skøien, G. B. M. Heuvelink, and E. J. Pebesma (2008) A geostatistical approach to data harmonization - application to radioactivity exposure data. Submitted to Envir. Monit. And Ass.
Brenning, A. and G. Dubois (2007) Towards generic real-time mapping algorithms for environmental monitoring and emergency detection. Stochastic Environmental Research and Risk Assessment, 22(5): 601-611
Chorti, E., and D. T. Hristopulos (2008) Nonparametric identification of anisotropic (Elliptic) correlations in spatially distributed data sets. IEEE Transactions on Signal Processing, 56 (10 I): 4738-4751.
D’Alimonte, D. and D. Cornford (2007) Outlier detection with partial information: Application to emergency mapping. Stochastic Environmental Research and Risk Assessment, 22(5): 613-620
Dubois, G. (2008) Editorial. Advances in automatic interpolation for real-time mapping. Stochastic Environmental Research and Risk Assessment, 22(5): 597-599
Elogne, S. N., D. T. Hristopulos, and M. Varouchakis (2007) An application of Spartan Spatial Random Fields in environmental mapping: Focus on automatic mapping capabilities. Stochastic Environmental Research and Risk Assessment (SERRA), 22(5): 633-646
Heuvelink, G.B.M., Z. Jiang, S. De Bruin and C. Twenhöfel (2008), Optimization of mobile radioactivity monitoring networks. International Journal of GIS (in press).
Hiemstra, P.H., E.J. Pebesma, C.J.W. Twenhöfel and G.B.M. Heuvelink (2009), Real- time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network. Computers & Geosciences (in press).
Ingram, B., D. Cornford, and D. Evans (2007) Fast algorithms for automatic mapping with space–limited covariance functions. Stochastic Environmental Research and Risk Assessment, 22(5): 661-670
Kazianka, H. and Pilz, J. (2009): Copula-based geostatistical modeling of continuous and discrete data including covariates. Accepted for publication in: Stochastic Environmental Research and Risk Assessment.
Melles, S.J., G.B.M. Heuvelink, C.J.W. Twenhöfel and U. Stöhlker (2008a). Sampling optimization trade-offs for long-term monitoring of gamma dose rates. In: ICCSA 2008. Lecture Notes in Computer Science (Eds. O. Gervasi, B. Murgante, A. Laganà, D. Taniar, Y. Mun, M. Gavrilova), vol. 5072, 444-458.
Pilz, J., and G. Spöck (2007) Why do we need and how should we implement Bayesian kriging methods. Stochastic Environmental Research and Risk Assessment, 22(5): 621-632
Skøien, J. O., G. Blöschl, E.J. Pebesma (2008) Geostatistics for automatic estimation of environmental variables - some simple solutions. Georisk, Vol. 2 No. 4, 259-272.
Skøien, J. O., O. Baume, E. J. Pebesma and G. B. M. Heuvelink (accepted) Identifying and removing heterogeneities between monitoring networks, accepted for publication in Environmetrics.
Spöck, G., Kazianka, H.and Pilz, J. (2008): Baysian trans-Gaussian Kriging with log-log transformed skew data. to appear in: J. Pilz (Ed.) Interfacing Geostatistics and GIS. Springer, Berlin.
Szegvary, T., F. Conen, U. Stöhlker, G. Dubois, P. Bossew, G. de Vries (2007) Mapping terrestrial gamma-dose rate in Europe based on routine monitoring data. Radiation measurements, 42(9): 1561-1572
Books
Pilz, J. (2009): Interfacing Geostatistics and GIS. Springer, Berlin, Heidelberg and New York.
Conference presentations
geoENV VI - Geostatistics for Environmental Applications. November 2006, Rhodes, Greece.- Pebesma, E.J., Dubois, G. and D. Cornford (2008). The challenge of real-time automatic mapping for environmental monitoring network management.
- Cornford, D. (2007) Data assimilation, Bayesian inference and Gaussian processes: opportunities and challenges.
- Skøien, J.O., Pebesma, E., Blöschl, G. (2007). Geostatistics for automatic estimation of environmental variables - simple solutions.
- Williams, M., Cornford, D., Ingram, B., Bastin, L., Beaumont, T., Pebesma, E. and G. Dubois (2007). Supporting interoperable interpolation: the INTAMAP approach.
- Jiang, Z., S. De Bruin, G.B.M. Heuvelink and C.J.W. Twenhöfel (2007), Optimization of mobile radioactivity monitoring networks.
- Spöck, G., Noninformative priors with special application to spatial statistics, talk.
- Cornford, D. Data assimilation, Bayesian inference and Gaussian processes: opportunities and challenges.
- Baume, O., J.O. Skoien, G.B.M. Heuvelink, E.J. Pebesma (2007) Geostatistical approach to data harmonization – application to radioactivity exposure data. Environment and Ecological Statistics.
- Chorti A. and D. T. Hristopulos (2007) Automatic Detection of Spatial Anisotropy in Environmental Data Sets.
- Skoien, J.O., O. Baume, E.J. Pebesma, G.B.M. Heuvelink (2007) Identifying and removing heterogeneities between monitoring networks.
- Spöck, G (2007) Bayesian trans-Gaussian Kriging and the Uncertainty of Variogram Estimates.
- J. O. Skøien (2007) The INTAMAP project - first results.
- D. T. Hristopulos, A.Chorti, G. Spiliopoulos and E. Petrakis(2007) Systematic detection of anisotropy in spatial data obtained from environmental monitoring networks. Geophysical Research Abstracts, EGU2008-A-03671.
- Skøien, J.O.; Pebesma, E. J (2008) Real-time mapping in emergency situations – some preliminary results.
- Williams, M; Cornford, D; Bastin, L; Ingram, B. (2008) Web Processing Service based interoperable, automated, interpolation.
- Williams, M; Cornford, D; Bastin, L; Ingram, B. (2008) UncertML - XML language for exchanging uncertainty. poster.
- Skøien, J. O., L. Gottschalk, E. Leblois, E. J. Pebesma (2008) Interpolation with irregular support - examining a simplification.
- Williams, M., Cornford, D., Bastin, L. and Ingram, B. R., 2008. UncertML: an XML schema for exchanging uncertainty.
- Stöhlker, U., M. Bleher, T. Szegvary, F. Conen (2008) Inter-calibration of gamma dose rate detectors on the European scale.
- J. de Jesus (2008) INTAMAP. INTeroperability and Automated MAPping. U. Stohlker(2008) The German gamma dose rate network.
- Stöhlker, U., Conen, F.: "Radioactivity use for SM measurement", The Soil Moisture and Ocean Salinity (SMOS) Science Advisory Group, Minutes of the Twenty-Third Meeting
- De Jesus, J., Dubois G., Hiemstra, P. (2008). Web-based geostatistics using WPS.
- Skøien, Jon O., Olivier Baume, Edzer J. Pebesma and Gerard B. M. Heuvelink(2008) Automatic detection and correction of heterogeneities between measurement networks. (paper).
- S.J. Melles, J. Beekhuizen, S. de Bruin, G.B.M. Heuvelink, A. van Dijk and C.J.W. Twenhofel (2008) Optimizing monitoring networks for contaminant dispersion. Proceedings accepted.
- Cornford, D. (2008) Uncertainty: the key to interoperable geospatial processing? Keynote
- Williams, M., Cornford, D., Bastin, L. and Ingram B., (2008) A conceptual model for uncertainty – UncertML, Best Poster Winner
- Ingram, B. D.Cornford, (2008) An approach to sensor fusion using geostatistics. Poster.
- Spöck, G., Spatial covariance-robust minimax prediction based on experimental design ideas, talk.
- Stohlker, U., M. Bleher (2008) The Schauinsland Intercalibration facility. 53th Annual Meeting of the Health Physics Society.
- Henneböhl, K., Pebesma, E., 2008. Providing R functionality through the OGC Web Processing Service.
- Baume, O., Skøien, J.O, Heuvelink, G.B.M. , Pebesma, E.J. (2008). Bias removal in heterogeneous spatial data: simple solutions and a practical application.
- Beekhuizen, J., Melles, S.J., de Bruin, S. Heuvelink, G.B.M. van Dijk, A. Twenhöfel, C.J.W. (2008). Dealing with uncertainty in determining the optimal locations of mobile devices.
- Ingram, B. R., Cornford, D., and Csato, L., (2008) Robust automatic mapping algorithms in a network monitoring scenario. Paper
- Ingram,B., Cornford, D.(2008) Parallell geostatistics for sparse and dense datasets. Paper
- Kazianka, H. and J. Pilz (2008): Spatial interpolation using copula-based geostatistical models. Paper
- Spöck, Gunter (2008): Bayesian locally stationary trans-Gaussian kriging using generalised Voronoi tessellations. Paper Skøien, J.O., L. Gottschalk, E. Leblois, E. J. Pebesma (2008) Accounting for irregular support in spatial interpolation – analysing a simplified approach.
- Williams, M., Cornford, D., Bastin, L. and Ingram, B. R., 2008. Exchanging uncertainty. Interoperable geostatistics?
- Melles, S.J., Heuvelink, G.B.M., Twenhöfel,, C.J.W., Stöhlker, U. (2008). Sampling optimization trade-offs for long-term monitoring of gamma dose rates.
- Pilz, J., Kazianka, H.ans Spoeck, G. (2008) Interoperability – Spatial Interpolation and Automated Mapping.(paper).
- Williams, M., Cornford, D. and Bastin, L., 2008. Describing and Communicating Uncertainty within the Semantic Web, Uncertainty Reasoning for the Semantic Web Workshop
- Dubois, G. and J. de Jesus (2008). INTAMAP. Interoperability and automated mapping.
- Hiemstra, P. H., E. J. Pebesma, G. B. M. Heuvelink, C. J. W. Twenhöfel (2009) Explaining the variation in radioactivity levels by the variation in rainfall intensity.
- Pebesma, E., 2008. Interoperability and automated mapping: past, intamap, future. Invited presentation
- Baume, O.P., J.O. Skøien, G.B.M. Heuvelink and E.J. Pebesma (2008), Data harmonization with geostatistical tools: a Bayesian extension. Paper
- Ingram, B., Cornford, D., Csato, L., 2008. A projected process kriging algorithm for sensor networks with heterogeneous error characteristics.
- Spöck, Gunter and J. Pilz (2008): Non-stationary spatial modelling using harmonic analysis. Paper
- Skøien, J. O., E. J. Pebesma, G. B. M Heuvelink (2008) Unbiased block predictions and exceedance probabilities for environmental thresholds.
- Skøien, J.O., O.P. Baume, E.J. Pebesma and G.B.M. Heuvelink (2008), Block predictions and exceedance probabilities for a non-stationary process.
- Pilz, J., Baysean Spatial Sampling Design.
- Pebesma, E., L. Gerharz, Dynamische modellering van luchtkwaliteit in bijna echt-tijd (in Dutch).
- Pebesma, E. 2009. INTAMAP: Interoperability and automated mapping. Invited presentation
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Baume, O. P., Skøien, J. O., Carre, F., Heuvelink, G.. B. M. and Pebesma, E.
J., 2009, Data harmonization of environmental variables: from simple to
general solutions. Presented at EGU General assembly.
- Pebesma, E.J., K. Henneböhl, and J. O. Skoien, 2009. Developing automatic interpolation services: experiences from the INTAMAP FP6 project. Geophysical Research Abstracts, Vol. 11, EGU2009-11953, EGU General Assembly 2009.
- Skøien, J., E. J. Pebesma, G. Blöschl, 2009. rtop – an R package for interpolation along the stream network. Presented at EGU General assembly, (poster).
- Skøien, J., Gottschalk, L., Leblois, E. (2009) Interpolation with irregular support – examining a simplification. Presented at EGU General assembly, (poster).
- J. O. Skøien (2007) The INTAMAP project.
- Dubois, G., de Jesus, J., Doherty, B., Cornford, D. and E. Pebesma (2009) Lessons Learned from INTAMAP, an Interoperable Web Service for the Real- Time Interpolation of Environmental Variables.
- Stöhlker U., Bleher M. (2009) Harmonization of GDR data. Extended
- Pebesma E., Dubois, G. and D. Cornford (2009). Automated mapping of environmental variables from a SEIS or SISE perspective. In: Proceedings of “EU TOWARDS eENVIRONMENT (Challenges of SEIS and SISE: Integrating Environmental Knowledge in Europe”. J. Hrebicek, J. Hradec, E. Pelikan, O. Mirovsky, W. Pilmmann, I.Holoubek, R. Legat (eds.) Masaryk University, 2009.
- Baume, O. P., Skøien, J. O., Carre, F., Heuvelink, G.. B. M. and Pebesma, E. J., 2009, Data harmonization of environmental variables: from simple to general solutions. Presented at: European conference of the Czech Presidency of the Council of the EU: TOWARDS eENVIRONMENT (Challenges of SEIS and SISE: Integrating Environmental Knowledge in Europe). http:/www.e-envi2009.org/proceedings/ J. H¿ebÃ-¿ek, J. Hradec, E. Pelikán, O. MÃ-rovský, W. Pillmann, I.Holoubek, T. Bandholtz (eds.) Masaryk University.
- Stöhlker, U. German gamma dose rade (GDR) network.
- Stöhlker, U.: "Using wide area ambient dose rate networks as proxy for radon flux and soil mosture", IAEA/WMO
- Baume. O.P., A. Gebhardt, C. Gebhardt, G.B.M. Heuvelink and J. Pilz (2009a), Network optimization algorithms and scenarios in the context of automatic mapping. In: Proceedings StatGIS 2009, Geoinformatics for Environmental Surveillance (ed. G. Dubois).
- Bisier, J. A framework for comparing spatio-temporal interpolaters.
- de Jesus, J., Barillec, R., Dubois, G. and D. Cornford (2009). A Web Processing Service for Validating Interpolation. In: Proceedings StatGIS 2009, Geoinformatics for Environmental Surveillance (ed. G. Dubois).
- Hiemstra, P. H., E. J. Pebesma, G. B. M. Heuvelink, C. J. W. Twenhöfel, Karssenberg, D., van Dijk, A. (2009) Estimating the space-time distribution of radioactivity levels by combining monitoring network data and atmospheric transport models. poster
- Hristopulos, D.T. (2009) An Approximate Explicit Minimum Curvature Estimator Based on Spartan Spatial Random Fields. In: Proceedings StatGIS 2009 Geoinformatics for Environmental Surveillance (ed. G. Dubois).
- Hristopulos, D.T., G. Spiliopoulos, E. Petrakis and A. Chorti (2009), Non- parametric estimation of geometric anisotropy in scattered data from environmental sensor network measurements, In: Proceedings StatGIS 2009 Geoinformatics for Environmental Surveillance (ed. G. Dubois).
- Ingram, B., Cornford, D. and Barillec, R., 2009. Projected Sequential Gaussian Processes: Flexible Interpolation for Large Data Sets.
- Kazianka, H. and Pilz, J. (2009): Bayesian spatial modelling and interpolation using copulas. Paper
- Melles, S.J., G.B.M. Heuvelink, C.J.W. Twenhöfel, A. Van Dijk, P. Hiemstra, O. Baume and U. Stöhlker (2009). Optimization for the design of environmental monitoring networks in routine and emergency settings. In: Proceedings StatGIS 2009, Geoinformatics for Environmental Surveillance (ed. G. Dubois).
- Pebesma, E., Cornford, D., Dubois, G., Heuvelink, G., Hristopoulos, D., Pilz, J., Stoehlker, U., Skoien, J., 2009. INTAMAP: an interoperable automated interpolation web service.
- Skøien, J., E. J. Pebesma, G. Blöschl, 2009. rtop – an R package for interpolation along the stream network. poster.
- Spöck, G. (2009): Bayesian locally-stationary trans-Gaussian Kriging using generalized Voronoi tessellations. Paper
- Spöck, G., Kazianka, H. and Pilz, J. (2009): Modeling and interpolation of non-Gaussian spatial data: a comparative study. Poster
- Stoehlker, U., G. Dubois, De Jesus, S. Burbeck, M. Bleher, E. Pebesma (2009). Real-time mapping for environmental surveillance: A decision- maker’s perspective. In: Proceedings of the StatGIS09, GeoInformatics for Environmental Surveillance (ed. G. Dubois).
- Williams, M., Cornford, D., Bastin, L., Jones, R. and Parker, S., 2009. Automatic processing, quality assurance and serving of real-time weather data over lightweight protocols.
- Katharina Henneböhl, Lydia E. Gerharz, Edzer J. Pebesma, 2009.An OGC web service architecture for near real-time interpolation of air quality over Europe.
- Zukovic, M. and D. T. Hristopulos (2009) Conditional simulations of anisotropic spatial data with global gradient-curvature constraints. Proceedings StatGIS 2009 Geoinformatics for Environmental Surveillance (ed. G. Dubois).
- Williams, M., Cornford, D., Bastin, L. and Pebesma., E., 2009. Uncertainty Markup Language (UncertML). Discussion Paper, Document Number: 08- 122r1.
All deliverables delivered as reports
All deliverables from Sept 2008 to Sept 2009 have not yet been approved by the European Commission, and should be considered as draft, not final documents; final documents can be expected by the end of 2009
D 1.1 Capturing user requirements for an automatic mapping systemD 1.2 Communication to and from web service
D 1.3 R implementation of a simple mapping algorithm and development / integration of support tools
D 1.5 Papers, conference and journals
D 1.6 Implementation of a web client
D 1.7 Reference implementation of the web service
D 1.8 Description of reference implementation of the web service
D 2.1 Bayesian spatial analysis
D 2.2 Bayesian spatial analysis and anisotropies
D 2.3 Improved methods for hyper-parameter identification in the sparse, sequential framework
D 2.6 Technical report on code developed in R
D 3.1 Bayesian trans-gaussian kriging
D 3.2 Bayesian disjunctive kriging
D 3.3 Sequential methods using robust likelihood models
D 3.4 Spatial Interpolation Using Copulas
D 3.8 R-code for spatial Interpolation Using Copulas
D 4.2 R codes for heterogeneous monitoring networks
D 4.3 Aggregating geostatistical predictions
D 4.4 Sparse, sequential methods for a range of observation types and spatial supports
D 4.5 Integrated R code for monitoring networks
D 4.6 Environmental monitoring network optimization scenarios
D 4.7 Monitoring network optimization
D 5.1 Early warning systems: Identifying anomalies with monitoring networks D 5.2 Early warning systems: From national to international networks D 5.3 Monitoring networks for airborne radioactivity D 5.4 Data sets scenarios generated for routine and emergency monitoring D 6.2 Draft validation plan for the automatic mapping web service, including specification of test data
D 6.4 Implementation of an IMIS web-client D 6.6 Assessment of Intamap for automatic interpolation of radiological scenario datasets
D 6.7 Assessment of Intamap for automatic interpolation of other environmental data
D 6.8 "GeoInformatics for Environmental Surveillance” Organization of a Workshop
D 7.3 First year report
D 7.3 annex First year report: using and dissiminating knowledge
D 7.4 Second year report
D 7.4 annex Second year report: using and dissiminating knowledge