Forschungsschwerpunkte
- Geoinformatik
- Geostatistik
- Raumzeitlicher Modellierung
Vita
Akademische Ausbildung
- Promotion an der Universtaet Utrecht
- Studium der Fysische Geografie, Universitaet Utrecht
Beruflicher Werdegang
- Assistent Professor Universiteit Utrecht
- Postdoc an der Universität Amsterdam
Ruf
- WWU Münster, Geoinformatik (W3) – angenommen
Publikationen
- . . Random forests with spatial proxies for environmental modelling: opportunities and pitfalls EGUsphere. doi: 10.5194/egusphere-2024-138. [submitted / under review]
- . . ‘Assessing and improving the transferability of current global spatial prediction models.’ Global Ecology and Biogeography 00: 1–13. doi: https://doi.org/10.1111/geb.13635.
- . . ‘Allocation of humanitarian aid after a weather disaster.’ World Development 166: 106204. doi: https://doi.org/10.1016/j.worlddev.2023.106204.
- 10.3390/fire5010029. . ‘Predicting Wildfire Fuels and Hazard in a Central European Temperate Forest Using Active and Passive Remote Sensing.’ Fire 5(1), Nr. 29. doi:
- . . ‘Nearest neighbour distance matching leave-one-out cross-validation for map validation.’ Methods in Ecology and Evolution 13: 1304–1316. doi: 10.1111/2041-210X.13851.
- . . ‘Machine learning-based global maps of ecological variables and the challenge of assessing them.’ Nature Communications 13. doi: 10.1038/s41467-022-29838-9.
- . . ‘Developing Transferable Spatial Prediction Models: a Case Study of Satellite Based Landcover Mapping.’ Contributed to the ISPRS, Nice. doi: 10.5194/isprs-archives-XLIII-B3-2022-135-2022.
- . . ‘Unbiased Area Estimation Using Copernicus High Resolution Layers and Reference Data.’ Remote Sensing 14, Nr. 19: 4903. doi: 10.3390/rs14194903.
- . . ‘Predicting into unknown space? Estimating the area of applicability of spatial prediction models.’ Methods in Ecology and Evolution 12: 1620–1633. doi: 10.1111/2041-210X.13650.
- . „Estimating the Area of Applicability of Remote Sensing-Based Machine Learning Models with Limited Training Data.“ contributed to the IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, . doi: 10.1109/IGARSS47720.2021.9553999.
- . . ‘Practical reproducibility in geography and geosciences.’ Annals of the American Association of Geographers 2020. doi: 10.1080/24694452.2020.1806028.
- . . ‘Patterns in Mongolian nomadic household movement derived from GPS trajectories.’ Applied Geography 122, Nr. September 2020: 102270. doi: 10.1016/j.apgeog.2020.102270.
- . . ‘Spatiotemporal multi-resolution approximations for analyzing global environmental data.’ Spatial Statistics 38. doi: 10.1016/j.spasta.2020.100465.
- . . ‘dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R.’ Journal of Statistical Software 2019.
- . . ‘Reproducible Research in Geoinformatics: Concepts, Challenges and Benefits (Vision Paper).’ In 14th International Conference on Spatial Information Theory (COSIT 2019), edited by , 8:1–8:13. Dagstuhl, Germany: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. doi: 10.4230/LIPIcs.COSIT.2019.8.
- . . ‘On-Demand Processing of Data Cubes from Satellite Image Collections with the gdalcubes Library.’ Data 4, Nr. 3. doi: 10.3390/data4030092.
- . „Herders Mobility GPS Tracking:Insights From Novel Trajectory Data.“ contributed to the XTerM 2019, Le Havre, France, .
- . . ‘Air Quality Monitoring Network Design Optimisation for Robust Land Use Regression Models.’ Sustainability 10, Nr. 5. doi: 10.3390/su10051442.
- . . ‘Quality of life, big data and the power of statistics.’ Statistics and Probability Letters 136. doi: 10.1016/j.spl.2018.02.030.
- . „R vector and raster data cubes for openEO.“ contributed to the EGU General Assembly 2018, Vienna, Austria, .
- . „openEO: an open API for cloud-based big Earth Observation processing platforms.“ contributed to the EGU General Assembly 2018, Vienna, Austria, .
- . . ‘Open and scalable analytics of large Earth observation datasets: from scenes to multidimensional arrays using SciDB and GDAL.’ ISPRS Journal of Photogrammetry and Remote Sensing 138: 47–56. doi: 10.1016/j.isprsjprs.2018.01.014.
- . . ‘Combining automatic and manual image analysis in a web-mapping application for collaborative conflict damage assessment.’ Applied Geography 97: 25–34. doi: 10.1016/j.apgeog.2018.05.016.
- . . ‘Multidimensional Arrays for Analysing Geoscientific Data.’ ISPRS International Journal of Geo-Information 7, Nr. 8. doi: 10.3390/ijgi7080313.
- Contributed to the 10th Geomundus conference, Lisbon, Portugal. . ‘Running user-defined functions in R on Earth observation data in cloud back-ends.’
- . . ‘Dimension Reduction of Multi-Spectral Satellite Image Time Series to Improve Deforestation Monitoring.’ Remote Sensing 9, Nr. 10. doi: 10.3390/rs9101025.
- . „Opening reproducible research (o2r).“ contributed to the Open Science Conference, Berlin, Germany, .
- . . ‘Opening the Publication Process with Executable Research Compendia.’ D-Lib Magazine 23. doi: 10.1045/january2017-nuest.
- Contributed to the 2nd International Workshop on Social Sensing, SocialSens 2017, usa. doi: 10.1145/3055601.3055603. . ‘A machine learning approach to demographic prediction using geohashes.’
- 10.1016/j.cageo.2017.08.006. . ‘Nurturing a growing field: Computers & Geosciences.’ Computers and Geosciences 107, Nr. null: A1–A2. doi:
- 10.1080/13658816.2017.1306862. . ‘The GRASS GIS temporal framework.’ International Journal of Geographical Information Science 31, Nr. 7: 1273–1292. doi:
- . . ‘Usability Study to Assess the IGBP Land Cover Classification for Singapore.’ Remote Sensing 2017, Nr. 9(10), 1075. doi: 10.3390/rs9101075.
- . „Modelling spatiotemporal change using multidimensional arrays.“ contributed to the EGU General Assembly 2017, Vienna, Austria, .
- . „Reproducible Earth observation analytics: challenges, ideas, and a study case on containerized land use change detection.“ contributed to the EGU General Assembly 2017, Vienna, Austria, .
- . „Air quality monitoring network location optimization for robust Land Use Regression Model.“ contributed to the Spatial Statistics 2017: One World: One Health, Lancaster, .
- . . ‘Detecting dwelling destruction in Darfur through object-based change analysis of very high resolution imagery.’ International Journal of Remote Sensing 38, Nr. 1: 273–295. doi: 10.1080/01431161.2016.1266105.
- . „Scalable Earth-observation Analytics for Geoscientists: Spacetime Extensions to the Array Database SciDB.“ contributed to the EGU General Assembly 2016, Vienna, Austria, .
- . . ‘Spatio-temporal change detection from multidimensionalarrays: Detecting deforestation from MODIS time series.’ ISPRS Journal of Photogrammetry and Remote Sensing 117, Nr. 227-236.
- . ‘Measurement units in R.’ R Journal 8, Nr. 2: 490–498.
- . ‘Spatio-temporal interpolation using gstat.’ R Journal 8, Nr. 1: 204–218.
- . „Opening Reproducible Research.“ contributed to the EGU, Vienna, .
- 10.1080/13658816.2016.1151520. [online first] . ‘Modeling spatiotemporal information generation.’ International Journal of Geographical Information Science null, Nr. null: 1–29. doi:
- . „Scalable In-Database Regression Analysis of Large Earth-Observation Datasets.“ contributed to the EO Open Science 2.0, Frascati, Italy, .
- . . ‘Software for Spatial Statistics.’ Journal of Statistical Software 63, Nr. 1.
- . . ‘plotKML: Scientific Visualization of Spatio-Temporal Data.’ Journal of Statistical Software 63, Nr. 5.
- 10.1016/j.spasta.2015.06.005. [online first] . ‘Spatial and spatio-temporal modeling of meteorological and climatic variables using Open Source software.’ Spatial Statistics null, Nr. null. doi:
- 10.1016/j.spasta.2015.03.004. . ‘Optimising sampling designs for the maximum coverage problem of plume detection.’ Spatial Statistics 13, Nr. null: 21–44. doi:
- 10.1186/s12942-015-0005-9. . ‘Comparing adaptive and fixed bandwidth-based kernel density estimates in spatial cancer epidemiology.’ International Journal of Health Geographics 14, Nr. 1. doi:
- . „Spatio-temporal change modeling with array data.“ contributed to the EGU 2015, Vienna, Austria, .
- 10.1016/j.isprsjprs.2016.03.007. [online first] . ‘Spatio-temporal change detection from multidimensional arrays: Detecting deforestation from MODIS time series.’ ISPRS Journal of Photogrammetry and Remote Sensing null, Nr. null. doi:
- 10.1186/s12889-015-2520-9. . ‘Small-area spatio-temporal analyses of participation rates in the mammography screening program in the city of Dortmund (NW Germany) Biostatistics and methods.’ BMC Public Health 15, Nr. 1. doi:
- 10.1016/j.cageo.2014.02.009. . ‘rtop: An R package for interpolation of data with a variable spatial support, with an example from river networks.’ Computers and Geosciences 67: 180–190. doi:
- 10.1016/j.jag.2014.01.019. . ‘Bayesian area-to-point kriging using expert knowledge as informative priors.’ International Journal of Applied Earth Observation and Geoinformation 30, Nr. 1: 128–138. doi:
- 10.1016/j.compenvurbsys.2014.02.008. . ‘An exploratory approach to spatial decision support.’ Computers, Environment and Urban Systems 45, Nr. null: 101–113. doi:
- . . ‘Detecting Destruction in Conflict Areas in Darfur.’ Contributed to the GEOBIA 2014 - Geographic Object Based Image Analysis, Thessaloniki, Greece.
- . . ‘Spatio-temporal interpolation of daily temperatures for global land areas at 1 km resolution.’ Journal of Geophysical Research: Atmospheres na. doi: 10.1002/2013JD020803.
- 10.1016/j.envsoft.2013.11.001. . ‘A temporal GIS for field based environmental modeling.’ Environmental Modelling and Software 53, Nr. null: 1–12. doi:
- 10.1016/j.envsoft.2013.09.006. . ‘Meaningful spatial prediction and aggregation.’ Environmental Modelling and Software 51, Nr. null: 149–165. doi:
- Contributed to the 2nd International Conference ICT for Sustainability, Stockholm, Schweden. . ‘enviroCar – Open car data and open analysis tools for sustainable transportation development.’
- . „Modeling change from large-scale high-dimensional spatio-temporal array data.“ contributed to the EGU 2014, Vienna, Austria, .
- . . ‘Using geostatistical simulation to disaggregate air quality model results for individual exposure estimation on GPS tracks.’ Stochastic Environmental Research and Risk Assessment 27, Nr. 1: 223–234. doi: 10.1007/s00477-012-0578-9.
- . . ‘Managing uncertainty in integrated environmental modelling: The UncertWeb framework.’ Environmental Modelling and Software 39: 116–134.
- . . ‘Spatio-temporal modelling of individual exposure to air pollution and its uncertainty.’ Atmospheric Environment 64: 56–65. doi: 10.1016/j.atmosenv.2012.09.069.
- . . ‘Plume Tracking with a Mobile Sensor Based on Incomplete and Imprecise Information.’ Transactions in GIS 2013. doi: 10.1111/tgis.12063.
- 10.1007/978-1-4614-7618-4. (Eds.): . Applied Spatial Data Analysis with R: Second Edition. : Springer. doi:
- 10.3390/rs5115999. . ‘Bayesian networks for raster data (BayNeRD): Plausible reasoning from observations.’ Remote Sensing 5, Nr. 11: 5999–6025. doi:
- Contributed to the 14th Brazilian Symposium on GeoInformatics, GEOINFO 2013, Campos do Jordao, SP, bra. . ‘Measuring allocation errors in land change models in amazonia.’
- Contributed to the 16th AGILE Conference on Geographic Information Science, bel. doi: 10.1007/978-3-319-00615-4_12. . ‘Error-aware spatio-temporal aggregation in the model web.’
- Contributed to the 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013, Melbourne, VIC, aus. doi: 10.1109/IGARSS.2013.6723768. . ‘Spatial statistic to assess remote sensing acreage estimates: An analysis of sugarcane in São Paulo State, Brazil.’
- 10.1186/1476-072X-12-54. . ‘Detecting cancer clusters in a regional population with local cluster tests and Bayesian smoothing Methods: A simulation study.’ International Journal of Health Geographics null, Nr. null: 54. doi:
- . . ‘Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images.’ Theoretical and Applied Climatology 107, Nr. 1-2: 265–277. doi: 10.1007/s00704-011-0464-2.
- . . ‘The R software environment in reproducible geoscientific research.’ Eos, Transactions American Geophysical Union 93, Nr. 16: 163. doi: 10.1029/2012EO160003.
- . . ‘Usability of Spatio-Temporal Uncertainty Visualisation Methods.’ BRIDGING THE GEOGRAPHIC INFORMATION SCIENCES : 3–23. doi: 10.1007/978-3-642-29063-3_1.
- . . ‘Spatio-temporal aggregation of European air quality observations in the Sensor Web.’ Computers and Geosciences 47: 111–118. doi: 10.1016/j.cageo.2011.11.008.
- . . ‘Spatial statistics for mapping the environment.’ The ITC Journal .
- . . Spatio-temporal analysis and interpolation of PM10 measurements in Europe . online, .
- In Spatio-temporal Design: Advances in Efficient Data Acquisition, edited by , 319–344. John Wiley & Sons. doi: 10.1002/9781118441862.ch14. . ‘Stationary Sampling Designs Based on Plume Simulations.’
- Contributed to the 6th Biennial Meeting of the International Environmental Modelling and Software Society: Managing Resources of a Limited Planet, iEMSs 2012, Leipzig, deu. . ‘Uncertainty propagation between web services - A case study using the eHabitat WPS to identify unique ecosystems.’
- Contributed to the 6th Biennial Meeting of the International Environmental Modelling and Software Society: Managing Resources of a Limited Planet, iEMSs 2012, Leipzig, deu. . ‘Tools for uncertainty propagation in the model web using Monte Carlo simulation.’
- . . ‘spacetime: Spatio-Temporal Data in R.’ Journal of Statistical Software 51, Nr. 7.
- . . ‘Stationary Sampling Designs Based on Plume Simulations.’ In Spatio-Temporal Design, edited by , 319–344. John Wiley & Sons. doi: 10.1002/9781118441862.ch14.
- . . ‘Tools for uncertainty propagation in the Model Web using Monte Carlo simulation.’ In Proceedings of the sixth biannial meeting of the International Environmental Modelling and Software Society, edited by . Leipzig.
- . . ‘Connecting R to the Sensor Web.’ ADVANCING GEOINFORMATION SCIENCE FOR A CHANGING WORLD : 227–246. doi: 10.1007/978-3-642-19789-5_12.
- . . ‘Procedia Environmental Sciences: Editorial.’ Procedia Environmental Sciences 3: 1. doi: 10.1016/j.proenv.2011.02.001.
- . . ‘Planning sensor locations for the detection of radioactive plumes for Norway and the Balkans *.’ Radioprotection 46, Nr. 6 SUPPL.: S55–S61. doi: 10.1051/radiopro/20116628s.
- . . ‘Shifts in western North American snowmelt runoff regimes for the recent warm decades.’ Journal of Hydrometeorology 12, Nr. 5: 989–1006. doi: 10.1175/2011JHM1360.1.
- . . ‘A geostatistical approach to data harmonization - Application to radioactivity exposure data.’ International Journal of Applied Earth Observation and Geoinformation 13, Nr. 3: 409–419. doi: 10.1016/j.jag.2010.09.002.
- . . ‘Introduction to this special issue on geoinformatics for environmental surveillance.’ Computers and Geosciences 37, Nr. 3: 277–279. doi: 10.1016/j.cageo.2010.06.002.
- . . ‘INTAMAP: The design and implementation of an interoperable automated interpolation web service.’ Computers and Geosciences 37, Nr. 3: 343–352. doi: 10.1016/j.cageo.2010.03.019.
- . . ‘Agricultural land use dynamics in the Brazilian Amazon based on remote sensing and census data.’ Applied Geography 32, Nr. 2: 240–252.
- Contributed to the Workshop on Integrating Sensor Web and Web-Based Geoprocessing, ISW 2011 - At AGILE 2011 Conference, Utrecht, nld. . ‘Error aware near real-time interpolation of air quality observations in GEOSS.’
- (Eds.): . Conference Proceedings Geoinformatik 2011. : Akademische Verlagsgesellschaft.
- . . ‘Comparison of Mapping Methods for Plumes Using Prior Knowledge from Simulations.’ In Proceedings of the Seventh International Symposium on Spatial Data Quality, edited by , 15–20.
- . . ‘Planning sensor locations for the detection of radioactive plumes for Norway and the Balkans.’ In Proceedings of the International Conference on Radioecology & Environmental Radioactivity, edited by , 55–61.: EDP Sciences. doi: 10.1051/radiopro/20116628s.
- . . ‘Disaggregating gridded air quality data for individual exposure modelling.’ Procedia Environmental Sciences 7: 146–151. doi: 10.1016/j.proenv.2011.07.026.
- . . ‘The pair-copula construction for spatial data: a new approach to model spatial dependency.’ Procedia Environmental Sciences 7: 206–211. doi: 10.1016/j.proenv.2011.07.036.
- . . ‘Comparing techniques for vegetation classification using multi- and hyperspectral images and ancillary environmental data.’ International Journal of Remote Sensing 31, Nr. 23: 6143–6161. doi: 10.1080/01431160903401379.
- . . ‘Using rainfall radar data to improve interpolated maps of dose rate in the Netherlands.’ Science of the Total Environment 409, Nr. 1: 123–133. doi: 10.1016/j.scitotenv.2010.08.051.
- . . ‘Identifying and removing heterogeneities between monitoring networks.’ Environmetrics 21, Nr. 1: 66–84.
- . . ‘Estimating the influence of the neighbourhood in the development of residential areas in the Netherlands.’ Environment and Planning B: Planning and Design 37, Nr. 1: 21–41.
- Contributed to the Workshop on "Environmental Information Systems and Services - Infrastructures and Platforms", envip 2010 - At EnviroInfo 2010, Bonn, deu. . ‘The uncertainty enabled model web (UncertWeb).’
- In Proceedings of the Ninth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, edited by , 181–184. . ‘Conservative Updating of Sampling Designs.’
- contributed to the European Geosciences Union General Assembly, Vienna, . „Optimizing Spatio-Temporal Sampling Designs of Synchronous, Static, or Clustered Measurements.“
- Contributed to the 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010, gbr. . ‘Visualizing uncertainty in spatio-temporal data.’
- Contributed to the 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010, gbr. . ‘Conservative updating of sampling designs.’
- . . ‘Visualizing uncertainty in spatio-temporal data.’ In Proceedings of the Ninth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, edited by , 169–172.
- . . ‘Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network.’ Computers and Geosciences 35, Nr. 8: 1711–1721. doi: 10.1016/j.cageo.2008.10.011.
- . . ‘Mapping of background air pollution at a fine spatial scale across the European Union.’ Science of the Total Environment 407, Nr. 6: 1852–1867. doi: 10.1016/j.scitotenv.2008.11.048.
- In Interfacing Geostatistics and GIS, edited by , 3–15. Springer VDI Verlag. doi: 10.1007/978-3-540-33236-7_1. . ‘How we build geostatistical models and deal with their output.’
- Contributed to the 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009, Stresa, ita. . ‘Lessons learned from INTAMAP, an interoperable web service for the real-time interpolation of environmental variables.’
- . . ‘Usability of interactive and non-interactive visualisation of uncertain geospatial information.’ In Geoinformatik 2009 Konferenzband, edited by , 223–230.
- . . ‘Geostatistics for automatic estimation of environmental variables-some simple solutions.’ Georisk 2, Nr. 4: 257–270.
- . . ‘Comparing sampling patterns for kriging the spatial mean temporal trend.’ Journal of Agricultural, Biological, and Environmental Statistics 13, Nr. 2: 159–176.
- . . Applied Spatial Data Analysis with R. New York: Springer VDI Verlag.
- 400. Aufl. : unbekannt / n.a. / unknown. (Eds.): . Proceedings of the 6th Geographic Information Days.
- . . ‘The importance of scale in object-based mapping of vegetation parameters with hyperspectral imagery.’ Photogrammetric Engineering and Remote Sensing 73, Nr. 8: 905–912.
- . . ‘Interactive visualization of uncertain spatial and spatio-temporal data under different scenarios: An air quality example.’ International Journal of Geographical Information Science 21, Nr. 5: 515–527. doi: 10.1080/13658810601064009.
- . . ‘Error analysis for the evaluation of model performance: Rainfall-runoff event summary variables.’ Hydrological Processes 21, Nr. 22: 3009–3024. doi: 10.1002/hyp.6529.
- . . ‘Automatic prediction of high-resolution daily rainfall fields for multiple extents: The potential of operational radar.’ Journal of Hydrometeorology 8, Nr. 6: 1204–1224. doi: 10.1175/2007JHM792.1.
- . . ‘Automatic mapping in emergency: A geostatistical perspective.’ International Journal of Emergency Management 4, Nr. 3: 455–467. doi: 10.1504/IJEM.2007.014297.
- . . ‘The role of external variables and GIS databases in geostatistical analysis.’ Transactions in GIS 10, Nr. 4: 615–632. doi: 10.1111/j.1467-9671.2006.01015.x.
- Contributed to the 7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, ACCURACY 2006, prt. . ‘Dynamic visualisation of spatial and spatio-temporal probability distribution functions.’
- . . ‘Mapping sea bird densities over the North Sea: Spatially aggregated estimates and temporal changes.’ Environmetrics 16, Nr. 6: 573–587. doi: 10.1002/env.723.
- . . ‘Mapping radioactivity from monitoring data: Automating the classical geostatistical approach.’ Applied GIS 1, Nr. 2.
- . . ‘Error analysis for the evaluation of model performance: Rainfall-runoff event time series data.’ Hydrological Processes 19, Nr. 8: 1529–1548. doi: 10.1002/hyp.5587.
- . . ‘Multivariable geostatistics in S: The gstat package.’ Computers and Geosciences 30, Nr. 7: 683–691. doi: 10.1016/j.cageo.2004.03.012.
- . . ‘Mapping alpine vegetation using vegetation observations and topographic attributes.’ Landscape Ecology 18, Nr. 8: 759–776. doi: 10.1023/B:LAND.0000014471.78787.d0.
- . . ‘Above-ground biomass assessment of Mediterranean forests using airborne imaging spectrometry: The DAIS Peyne experiment.’ International Journal of Remote Sensing 24, Nr. 7: 1505–1520.
- . . ‘Uncertainties in spatially aggregated predictions from a logistic regression model.’ Ecological Modelling 154, Nr. 1-2: 93–101.
- . . ‘Assessment of the prediction error in a large-scale application of a dynamic soil acidification model.’ Stochastic Environmental Research and Risk Assessment 16, Nr. 4: 279–306.
- . . ‘Nutrient fluxes at the river basin scale. II: The balance between data availability and model complexity.’ Hydrological Processes 15, Nr. 5: 761–775.
- . . ‘Assessment of uncertainty in simulation of nitrate leaching to aquifers at catchment scale.’ Journal of Hydrology 242, Nr. 3–4: 210–227. doi: 10.1016/S0022-1694(00)00396-6.
- . . ‘Spatio-temporal kriging of soil water content.’ Geostatistics Wollongong 96 - Proceedings of the Fifth International Geostatistics Congress, Wollongong, Australia, September 1996 : 1020–1030.
- . . ‘Spatial aggregation and soil process modelling.’ Geoderma 89, Nr. 1-2: 47–65. doi: 10.1016/S0016-7061(98)00077-9.
- . . ‘Latin hypercube sampling of Gaussian random fields.’ Technometrics 41, Nr. 4: 303–312. doi: 10.1080/00401706.1999.10485930.
- . . ‘Uncertainty assessment in modelling soil acidification at the European scale: A case study.’ Journal of Environmental Quality 28, Nr. 2: 366–377. doi: 10.2134/jeq1999.00472425002800020002x.
- . . ‘Quantification and simulation of errors in categorical data for uncertainty analysis of soil acidification modelling.’ Geoderma 93, Nr. 3-4: 177–194. doi: 10.1016/S0016-7061(99)00056-7.
- . . ‘Gstat: A program for geostatistical modelling, prediction and simulation.’ Computers and Geosciences 24, Nr. 1: 17–31. doi: 10.1016/S0098-3004(97)00082-4.
- . . ‘Mapping groundwater quality in the Netherlands.’ Journal of Hydrology 200, Nr. 1–4: 364–386. doi: 10.1016/S0022-1694(97)00027-9.
Betreute Promotionen
Nüst, Daniel Infrastructures and Practices for Reproducible Research in Geography, Geosciences, and GIScience Knoth, Christian Supporting Conflict Damage Assessment with Object-Based Image Change Analysis Sidhu, Nanki Fitness for use of global land cover products to detect land change Lu, Meng Spatiotemporal Change Modelling from Multidimensional Arrays Helle, Kristina Barbara Optimise Spatial Sampling Designs for Plume Monitoring Based on Simulations Lemke, Dorothea Evaluation of spatial methods for the surveillance of cancer risk using data from a population-based cancer registry Gräler, Benedikt Developing spatio-temporal copulas Stasch, Christoph Spatio-temporal Aggregation in the Sensor Web Baranski, Bastian Service Level Agreements in Spatial Data Infrastructures Jirka, Simon Discovery Mechanisms for the Sensor Web Gerharz, Lydia Spatio-temporal Modelling of Individual Exposure to Particulate Air Pollution
Professor Dr. Edzer Pebesma
Professur für Geoinformatik (Prof. Pebesma)
![Professor Dr. Edzer Pebesma](/img/fodbimg/150x225/b1/b1c37bdb234c0f14e77c9af4a837c894.jpg)