Publikationen
- . . ‘Random forests with spatial proxies for environmental modelling: opportunities and pitfalls.’ Geoscientific Model Development 2024, Nr. 17: 6007. doi: 10.5194/gmd-17-6007-2024.
- . Estimation of local training data point densities to support the assessment of spatial prediction uncertainty EGUsphere. doi: 10.5194/egusphere-2024-2730.
- . . ‘Assessing and improving the transferability of current global spatial prediction models.’ Global Ecology and Biogeography 00: 1–13. doi: 10.1111/geb.13635.
- . . ‘Allocation of humanitarian aid after a weather disaster.’ World Development 166: 106204. doi: 10.1016/j.worlddev.2023.106204.
- . . ‘Using GEDI as training data for an ongoing mapping of landscape-scale dynamics of the plant area index.’ Environmental Research Letters 18, Nr. 7. doi: 10.1088/1748-9326/acde8f.
- . . ‘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 Wildfire Fuels and Hazard in a Central European Temperate Forest Using Active and Passive Remote Sensing.’ Fire 5(1), Nr. 29. doi: 10.3390/fire5010029. .
- . . Infrastructures and Practices for Reproducible Research in Geography, Geosciences, and GIScience Dissertationsschrift, Universität Münster. N/A: Selbstverlag / Eigenverlag. doi: 10.5281/zenodo.4768096.
- . . ‘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.
- . . ‘Exploring Research Data Repositories with geoextent.’ In EarthCube 2021 Notebooks, edited by . Zenodo. doi: 10.5281/zenodo.5496311.
- . . ‘Reproducible Research and GIScience: An Evaluation Using GIScience Conference Papers.’ In 11th International Conference on Geographic Information Science (GIScience 2021) - Part II, edited by , 2:1–2:16. Wadern: Dagstuhl Publishing. doi: 10.4230/LIPIcs.GIScience.2021.II.2.
- . „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.
- . . CODECHECK: An open science initiative for reproducible computational research.
- . . ‘The role of metadata in reproducible computational research.’ Patterns 2, Nr. 9: 100322. doi: 10.1016/j.patter.2021.100322.
- . . A Web service for executable research compendia enables reproducible publications and transparent reviews in geospatial sciences. Zenodo. doi: 10.5281/zenodo.4818119.
- . . OPTIMETA – Strengthening the Open Access publishing system through open citations and spatiotemporal metadata. doi: 10.3897/rio.7.e66264.
- CODECHECK: an Open Science initiative for the independent execution of computations underlying research articles during peer review to improve reproducibility.: F1000Research. doi: 10.12688/f1000research.51738.1. .
- . . ‘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.
- ‘Ten simple rules for writing Dockerfiles for reproducible data science.’ PLoS Computational Biology 16, Nr. 11: e1008316. doi: 10.1371/journal.pcbi.1008316. .
- . . Reproducible Research and GIScience: an evaluation using GIScience conference papers.: EarthArXiv. doi: 10.31223/X5ZK5V.
- . . ‘Practical reproducibility in geography and geosciences.’ Annals of the American Association of Geographers 2020. doi: 10.1080/24694452.2020.1806028.
- . . ‘Serverless GEO Labels for the Semantic Sensor Web.’ In 11th International Conference on Geographic Information Science (GIScience 2021) - Part I, edited by , 4:1––4:14. Wadern: Dagstuhl Publishing. doi: 10.4230/LIPIcs.GIScience.2021.I.4.
- . . ‘The Rockerverse: Packages and Applications for Containerisation with R.’ R Journal 12, Nr. 1: 437–461. doi: 10.32614/RJ-2020-007.
- . . ‘Publishing computational research - a review of infrastructures for reproducible and transparent scholarly communication.’ Research Integrity and Peer Review 5, Nr. 10. doi: 10.1186/s41073-020-00095-y.
- . . The role of metadata in reproducible computational research.: arXiv.
- . . ‘A Vision for Reproducible Research in Geoinformatics, Geography, and Geosciences.’ Generation Research 2020. doi: 10.25815/dm8v-2241.
- . . ‘Reproducibilidad en AGILE: Experiencias, logros y recomendaciones.’ Revista Cartográfica 2020, Nr. 100: 155–172. doi: 10.35424/rcarto.v0i100.668.
- . . OJS Software Workshop Report. Heidelberg, Germany. doi: 10.11588/heidok.00028242.
- . . Ten Simple Rules for Writing Dockerfiles for Reproducible Data Science. OSF Preprints. doi: 10.31219/osf.io/fsd7t.
- . . The Rockerverse: Packages and Applications for Containerization with R. arXiv.
- . . Publishing computational research - A review of infrastructures for reproducible and transparent scholarly communication.: arXiv.
- . . ‘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. Wadern: Dagstuhl Publishing. 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, .
- . . ‘dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R.’ Journal of Statistical Software 2019.
- . „CODECHECK: An open-science initiative to facilitate sharing of computer programs and results presented in scientific publications.“ contributed to the The 14th Munin Conference on Scholarly Publishing 2019, UiT The Arctic University of Norway, Tromsø, Norway, . doi: 10.7557/5.4910.
- . . ‘containerit: Generating Dockerfiles for reproducible research with R.’ Journal of Open Source Software 4, Nr. 40: 1603. doi: 10.21105/joss.01603.
- . . AGILE Reproducible Paper Guidelines.: OSF. doi: 10.17605/OSF.IO/CB7Z8.
- . . ‘Guerrilla Badges for Reproducible Geospatial Data Science.’ In Accepted Short Papers and Posters from the 22nd AGILE Conference on Geo‐information Science, edited by . Heidelberg: Springer. doi: 10.31223/osf.io/xtsqh.
- . . ‘Role of lunar phases, rainfall, and wind in predicting Hilsa shad (Tenualosa ilisha) catch in the northern Bay of Bengal.’ Fisheries Oceanography 28, Nr. 5: 567–575. doi: 10.1111/fog.12430.
- . „Packaging geoscience research for transparency and reproducibility: approaches and examples.“ contributed to the EGU General Assembly, Vienna, Austria, . doi: 10.5281/zenodo.2630483.
- . . How to Read a Research Compendium. https://arxiv.org/abs/1806.09525: arXiv.
- . . Reproducibility Service for Executable Research Compendia: Technical Specifications and Reference Implementation. doi: 10.5281/zenodo.2203844.
- . . ‘Multidimensional Arrays for Analysing Geoscientific Data.’ ISPRS International Journal of Geo-Information 7, Nr. 8. doi: 10.3390/ijgi7080313.
- ‘Running user-defined functions in R on Earth observation data in cloud back-ends.’ Contributed to the 10th Geomundus conference, Lisbon, Portugal. .
- . . Opening Reproducible Research: a research project website and blog. doi: 10.5281/zenodo.1485437.
- . . ‘Reproducible Research is like riding a bike.’ PeerJ Preprints 6, Nr. e27216v1. doi: 10.7287/peerj.preprints.27216v1.
- . „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.
- . „A modified equation to calculate the potential future shoreline position using transects.“ contributed to the European Geosciences Union General Assembly 2018, Vienna, Austria, .
- . . ‘Sea surface temperature and rainfall anomaly over the Bay of Bengal during the El Niño-Southern Oscillation and the extreme Indian Ocean Dipole events between 2002 and 2016.’ Remote Sensing Applications: Society and Environment 12: 10–22. doi: 10.1016/j.rsase.2018.08.001.
- . . ‘Threats to coastal communities of Mahanadi delta due to imminent consequences of erosion – Present and near future.’ Science of the Total Environment 637-638: 717–729. doi: 10.1016/j.scitotenv.2018.05.076.
- . . ‘Reproducible research and GIScience: an evaluation using AGILE conference papers.’ PeerJ 6: e5072. doi: 10.7717/peerj.5072.
- . . ‘Air Quality Monitoring Network Design Optimisation for Robust Land Use Regression Models.’ Sustainability 10, Nr. 5. doi: 10.3390/su10051442.
- . „Open Environmental Data Analysis.“ contributed to the EGU General Assembly 2018, Vienna, Austria, . doi: 10.5281/zenodo.1217911.
- . „rocker/geospatial: a flexible runtime environment for geoscientific data analysis.“ contributed to the EGU General Assembly 2018, Vienna, Austria, . doi: 10.5281/zenodo.1216750.
- . . ‘Quality of life, big data and the power of statistics.’ Statistics and Probability Letters 136. doi: 10.1016/j.spl.2018.02.030.
- . . Reproducible research and GIScience: an evaluation using AGILE conference papers. doi: 10.7287/peerj.preprints.26561v1.
- . „Air quality monitoring network location optimization for robust Land Use Regression Model.“ contributed to the Spatial Statistics 2017: One World: One Health, Lancaster, .
- ‘The GRASS GIS temporal framework.’ International Journal of Geographical Information Science 31, Nr. 7: 1273–1292. doi: 10.1080/13658816.2017.1306862. .
- . . ‘Usability Study to Assess the IGBP Land Cover Classification for Singapore.’ Remote Sensing 2017, Nr. 9(10), 1075. doi: 10.3390/rs9101075.
- . „Executable research compendia in geoscience research infrastructures.“ contributed to the EGU General Assembly 2017, Vienna, Austria, .
- . . ‘Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers.’ Remote Sensing 9, Nr. 3. doi: 10.3390/rs9030290.
- . „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, .
- ‘A machine learning approach to demographic prediction using geohashes.’ Contributed to the 2nd International Workshop on Social Sensing, SocialSens 2017, usa. doi: 10.1145/3055601.3055603. .
- ‘Nurturing a growing field: Computers & Geosciences.’ Computers and Geosciences 107, Nr. null: A1–A2. doi: 10.1016/j.cageo.2017.08.006. .
- . . ‘Dimension Reduction of Multi-Spectral Satellite Image Time Series to Improve Deforestation Monitoring.’ Remote Sensing 9, Nr. 10. doi: 10.3390/rs9101025.
- . „An Architecture for Reproducible Computational Geosciences.“ contributed to the AGILE Annual International Conference on Geographic Information Science, Wageningen, The Netherlands, . doi: 10.5281/zenodo.1478542.
- . „Opening reproducible research (o2r).“ contributed to the Open Science Conference, Berlin, Germany, .
- . . ‘Application of Cellular automata and Markov-chain model in geospatial environmental modeling- A review.’ Remote Sensing Applications: Society and Environment 5: 64–77. doi: 10.1016/j.rsase.2017.01.005.
- . . ‘Opening the Publication Process with Executable Research Compendia.’ D-Lib Magazine 23. doi: 10.1045/january2017-nuest.
- . . ‘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.
- ‘Spatio-temporal interpolation using gstat.’ R Journal 8, Nr. 1: 204–218. .
- . . ‘Enabling Reproducible OBIA with Open-Source Software in Docker Containers.’ Contributed to the GEOBIA 2016: Solutions & Synergies, Enschede, The Netherlands. doi: 10.3990/2.456.
- . „Sharing environmental models: An Approach using GitHub repositories and Web Processing Services.“ contributed to the EGU General Assembly, Vienna, .
- . „Opening Reproducible Research.“ contributed to the EGU, Vienna, .
- ‘Modeling spatiotemporal information generation.’ International Journal of Geographical Information Science null, Nr. null: 1–29. doi: 10.1080/13658816.2016.1151520. [online first] .
- ‘Measurement units in R.’ R Journal 8, Nr. 2: 490–498. .
- . „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.
- . „Open and reproducible global land use classification.“ contributed to the EGU General Assembly, Vienna, .
- ‘Spatial and spatio-temporal modeling of meteorological and climatic variables using Open Source software.’ Spatial Statistics null, Nr. null. doi: 10.1016/j.spasta.2015.06.005. [online first] .
- ‘Optimising sampling designs for the maximum coverage problem of plume detection.’ Spatial Statistics 13, Nr. null: 21–44. doi: 10.1016/j.spasta.2015.03.004. .
- ‘Comparing adaptive and fixed bandwidth-based kernel density estimates in spatial cancer epidemiology.’ International Journal of Health Geographics 14, Nr. 1. doi: 10.1186/s12942-015-0005-9. .
- . „Spatio-temporal change modeling with array data.“ contributed to the EGU 2015, Vienna, Austria, .
- ‘Spatio-temporal change detection from multidimensional arrays: Detecting deforestation from MODIS time series.’ ISPRS Journal of Photogrammetry and Remote Sensing null, Nr. null. doi: 10.1016/j.isprsjprs.2016.03.007. [online first] .
- ‘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: 10.1186/s12889-015-2520-9. .
- . „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.
- ‘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.cageo.2014.02.009. .
- ‘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.jag.2014.01.019. .
- ‘An exploratory approach to spatial decision support.’ Computers, Environment and Urban Systems 45, Nr. null: 101–113. doi: 10.1016/j.compenvurbsys.2014.02.008. .
- . . ‘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.
- ‘Modelling skewed spatial random fields through the spatial vine copula.’ Spatial Statistics na. doi: 10.1016/j.spasta.2014.01.001. [online first] .
- ‘A temporal GIS for field based environmental modeling.’ Environmental Modelling and Software 53, Nr. null: 1–12. doi: 10.1016/j.envsoft.2013.11.001. .
- ‘Meaningful spatial prediction and aggregation.’ Environmental Modelling and Software 51, Nr. null: 149–165. doi: 10.1016/j.envsoft.2013.09.006. .
- ‘enviroCar – Open car data and open analysis tools for sustainable transportation development.’ Contributed to the 2nd International Conference ICT for Sustainability, Stockholm, Schweden. .
- . „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.
- ‘Error-aware spatio-temporal aggregation in the model web.’ Contributed to the 16th AGILE Conference on Geographic Information Science, bel. doi: 10.1007/978-3-319-00615-4_12. .
- ‘Spatial statistic to assess remote sensing acreage estimates: An analysis of sugarcane in São Paulo State, Brazil.’ Contributed to the 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013, Melbourne, VIC, aus. doi: 10.1109/IGARSS.2013.6723768. .
- ‘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: 10.1186/1476-072X-12-54. .
- . . ‘GMES4Mining: GMES-based Geoservices for Mining Areas.’ Markscheidewesen 120, Nr. 3: 17–24.
- . . ‘Unmanned Aerial Vehicles as innovative remote sensing platforms for high-resolution infrared imagery to support restoration monitoring in cut-over bogs.’ Applied Vegetation Science 16, Nr. 3: 509–517. doi: 10.1111/avsc.12024.
- Applied Spatial Data Analysis with R: Second Edition. Heidelberg: Springer. doi: 10.1007/978-1-4614-7618-4. (Eds.): .
- ‘Bayesian networks for raster data (BayNeRD): Plausible reasoning from observations.’ Remote Sensing 5, Nr. 11: 5999–6025. doi: 10.3390/rs5115999. .
- ‘Measuring allocation errors in land change models in amazonia.’ Contributed to the 14th Brazilian Symposium on GeoInformatics, GEOINFO 2013, Campos do Jordao, SP, bra. .
- . . ‘Plume Tracking with a Mobile Sensor Based on Incomplete and Imprecise Information.’ Transactions in GIS 2013. doi: 10.1111/tgis.12063.
- . . ‘Multivariate return periods in hydrology: a critical and practical review focusing on synthetic design hydrograph estimation.’ Hydrology and Earth System Sciences 17: 1281–1296. doi: 10.5194/hess-17-1281-2013.
- . . ‘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 .
- ‘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. .
- . . Accessing Data from Sensor Observation Services: the sos4R Package.
- ‘Tools for uncertainty propagation in the model web using Monte Carlo simulation.’ Contributed to the 6th Biennial Meeting of the International Environmental Modelling and Software Society: Managing Resources of a Limited Planet, iEMSs 2012, Leipzig, deu. .
- . . ‘Linked Brazilian Amazon Rainforest Data.’ Semantic Web Journal 2012.
- . . ‘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. New York City: 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.
- ‘Stationary Sampling Designs Based on Plume Simulations.’ In Spatio-temporal Design: Advances in Efficient Data Acquisition, edited by , 319–344. New York City: John Wiley & Sons. doi: 10.1002/9781118441862.ch14. .
- . . Spatio-temporal analysis and interpolation of PM10 measurements in Europe . online, .
- . . ‘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.
- . . ‘Semantically-enabled sensor Plug & Play for the Sensor Web.’ Sensors 11, Nr. 8: 7568–7605. doi: 10.3390/s110807568.
- Conference Proceedings Geoinformatik 2011. Berlin: Akademische Verlagsgesellschaft. (Eds.): .
- . . ‘Microcopter-Based Colour Infrared (CIR) Close Range Remote Sensing as a Subsidiary Tool for Precision Farming.’ In Proceedings of the Workshop on Remote Sensing Methods for Change Detection and Process Modelling, 49–54.
- . . ‘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. Les Ulis: 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.
- . . ‘Connecting R to the Sensor Web.’ In Advancing Geoinformation Science for a Changing World, edited by , 227–246. Heidelberg: Springer.
- ‘Error aware near real-time interpolation of air quality observations in GEOSS.’ Contributed to the Workshop on Integrating Sensor Web and Web-Based Geoprocessing, ISW 2011 - At AGILE 2011 Conference, Utrecht, nld. .
- . „UAV-Based Close Range Remote Sensing as a Monitoring Tool for the Restoration of Bog Ecosystems.“ contributed to the Joint Meeting of Society of Wetland Scientists, WETPOL and Wetland Biogeochemistry Symposium 2011, Prague, .
- . . ‘DGPS- and INS-Based Orthophotogrammetry on Micro UAV Platforms for Precision Farming Services.’ In Proceedings of the GEOINFORMATIK 2011 – GEOCHANGE, 193–198.
- . . ‘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.
- . . OGC Discussion Paper 10-171: Sensor Instance Registry.: Open Geospatial Consortium.
- . . OGC Discussion Paper 09-112r1 - Sensor Observable Registry.: Open Geospatial Consortium.
- ‘The uncertainty enabled model web (UncertWeb).’ Contributed to the Workshop on "Environmental Information Systems and Services - Infrastructures and Platforms", envip 2010 - At EnviroInfo 2010, Bonn, deu. .
- ‘Conservative Updating of Sampling Designs.’ In Proceedings of the Ninth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, edited by , 181–184. .
- „Optimizing Spatio-Temporal Sampling Designs of Synchronous, Static, or Clustered Measurements.“ contributed to the European Geosciences Union General Assembly, Vienna, .
- . . ‘Integrating the OGC Sensor Web Enablement Framework into the OGC Catalogue.’ In WebMGS 2010: 1st International Workshop on Pervasive Web Mapping, Geoprocessing and Services. 26.-27. August 2010. Como, Italy..
- . . OGC Discussion Paper 09-112r1 - Sensor Observable Registry.: Open Geospatial Consortium.
- ‘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.’ 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.’ In Proceedings of the Ninth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, edited by , 169–172.
- . . ‘Copulas, a novel approach to model spatial and spatio-temporal dependence.’ GIScience for Environmental Change Symposium Proceedings 2010, Nr. 40: 49–54.
- . . ‘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.
- . . OGC Discussion Paper 09-163 - OGC Catalogue Services Specification 2.0 - Extension Package for ebRIM Application Profile: SensorML.: Open Geospatial Consortium.
- ‘How we build geostatistical models and deal with their output.’ In Interfacing Geostatistics and GIS, edited by , 3–15. Düsseldorf: Springer VDI Verlag. doi: 10.1007/978-3-540-33236-7_1. .
- ‘Lessons learned from INTAMAP, an interoperable web service for the real-time interpolation of environmental variables.’ Contributed to the 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009, Stresa, ita. .
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