Nüst, Daniel. . preprint, A Web service for executable research compendia enables reproducible publications and transparent reviews in geospatial sciences, Zenodo. doi: 10.5281/zenodo.4818119.
Christian, Hauschke, Daniel, Nüst, Anette, Cordts, und Svantje, Lilienthal. . Research Ideas and Outcomes, Bd. 7:e66264, OPTIMETA – Strengthening the Open Access publishing system through open citations and spatiotemporal metadata, doi: 10.3897/rio.7.e66264.
Nüst, Daniel, und Eglen, Stephen J. . F1000Research preprints, 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.
Garzón, Sebastian, und Nüst, Daniel. . „Exploring Research Data Repositories with geoextent.“ In EarthCube 2021 Notebooks, herausgegeben von HughShanahan, MattTurk, RyanAbernathey, KeithMaull, DonataGiglio, LynneSchreiber, Daniel S. Katz und KentonMcHenry. Zenodo. doi: 10.5281/zenodo.5496311.
Ostermann, Frank O., Nüst, Daniel, Granell, Carlos, Hofer, Barbara, und Konkol, Markus. . Reproducible Research and GIScience: an evaluation using GIScience conference papers, EarthArXiv. doi: 10.31223/X5ZK5V.
Graupner, Anika, und Nüst, Daniel. . „Serverless GEO Labels for the Semantic Sensor Web.“ In 11th International Conference on Geographic Information Science (GIScience 2021) - Part I, Bd. 177 aus Leibniz International Proceedings in Informatics (LIPIcs), herausgegeben von KrzysztofJanowicz und Judith A. Verstegen. Wadern: Dagstuhl Publishing. doi: 10.4230/LIPIcs.GIScience.2021.I.4.
Nüst, Daniel, Eddelbuettel, Dirk, Bennett, Dom, Cannoodt, Robrecht, Clark, Dav, Daróczi, Gergely, Edmondson, Mark, Fay, Colin, Hughes, Ellis, Kjeldgaard, Lars, Lopp, Sean, Marwick, Ben, Nolis, Heather, Nolis, Jacqueline, Ooi, Hong, Ram, Karthik, Ross, Noam, Shepherd, Lori, Sólymos, Péter, Lee, SwetnamTyson, Turaga, Nitesh, Charlotte, VanPetegem, Williams, Jason, Willis, Craig, und Xiao, Nan. . „The Rockerverse: Packages and Applications for Containerisation with R.“ R Journal, Nr. 12 (1): 437–461. doi: 10.32614/RJ-2020-007.
Leipzig, Jeremy, Nüst, Daniel, Hoyt, Charles T, Soiland-Reyes, Stian, Ram, Karthik, und Greenberg, Jane. . arXiv.org preprints, The role of metadata in reproducible computational research, arXiv.
Nüst, D, Eddelbuettel, D, Bennett, D, Cannoodt, R, Clark, D, Daroczi, G, Edmondson, M, Fay, C, Hughes, E, Lopp, S, Marwick, B, Nolis, H, Nolis, J, Ooi, H, Ram, K, Ross, N, Shepherd, L, Turaga, N, Willis, C, Xiao, N, und Petegem, CV. . The Rockerverse: Packages and Applications for Containerization with R, arXiv.
Konkol, M, Nüst, D, und Goulier, L. . Publishing computational research - A review of infrastructures for reproducible and transparent scholarly communication, arXiv.
Nüst, D, Ostermann, FO, Sileryte, R, Hofer, B, Granell, C, Teperek, M, Graser, A, Broman, K, und Hettne, K. . AGILE Reproducible Paper Guidelines, OSF. doi: 10.17605/OSF.IO/CB7Z8.
Nüst, Daniel, Lohoff, Lukas, Einfeldt, Lasse, Gavish, Nimrod, Götza, Marlena, Tariq, JaswalShahzeib, Khalid, Salman, Meierkort, Laura, Mohr, Matthias, Rendel, Clara, und Antonia, vanEek. . „Guerrilla Badges for Reproducible Geospatial Data Science.“ In Accepted Short Papers and Posters from the 22nd AGILE
Conference on Geo‐information Science, herausgegeben von P Kyriakidis, D Hadjimitsis, D Skarlatos und A Mansourian. Heidelberg: Springer. doi: 10.31223/osf.io/xtsqh.
Kraehnert, K, Vigh, M, Knoth, C, Teickner, H, Purevtseren, M, Sugar, M, und Pebesma, E. . „Herders Mobility GPS Tracking:Insights From Novel Trajectory Data.“ In Conférence internationale "Systèmes Complexes, Intelligence Territorialeet Mobilité", herausgegeben von P Sajous und C Bertelle.
Nüst, Daniel, Boettiger, Carl, und Marwick, Ben. . How to Read a Research Compendium, https://arxiv.org/abs/1806.09525: arXiv.
Nüst, Daniel. . Reproducibility Service for Executable Research Compendia: Technical Specifications and Reference Implementation, doi: 10.5281/zenodo.2203844.
Pebesma, E, Wagner, W, Soille, P, Kadunc, M, Gorelick, N, Schramm, M, Verbesselt, J, Reiche, J, Appel, M, Dries, J, Jacob, A, Neteler, M, Gebbert, S, Briese, C, und Kempeneers, P. . „openEO:
an open API for cloud-based big Earth Observation processing platforms.“ Beitrag präsentiert auf der EGU General Assembly 2018, Vienna, Austria
Nüst, Daniel, Schutzeichel, Marc, und Konkol, Markus. . Opening Reproducible Research: a research project website and blog, doi: 10.5281/zenodo.1485437.
Bivand, R., Pebesma, E., und Gómez-Rubio, V. . Applied Spatial Data Analysis with R: Second Edition,, herausgegeben von RogerBivand, EdzerPebesma und VirgilioGomez-Rubio. Heidelberg: Springer. doi: 10.1007/978-1-4614-7618-4.
García, Millán V E, Müterthies, A, Pakzad, K, Teuwsen, S, Benecke, N, Zimmermann, K, Kateloe, H, Preuße, A, Helle, K, und Knoth, C. . „GMES4Mining: GMES-based Geoservices for Mining Areas.“ Markscheidewesen, Nr. 120 (3): 17–24.
Pross, BenjaminGerharz Lydia, und Stasch, ChristophPebesma Edzer. . „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, herausgegeben von R Seppelt, A Voinov, S Lange und D Bankamp. Leipzig.
Helle, Kristina B., Urso, Laura, Astrup, Poul, Mikkelsen, Torben, Kaiser, Jan C., Pebesma, Edzer, Rojas-Palma, Carlos, Holo, Eldri, Dyve, Jan E., und Raskob, Wolfgang. . „Planning sensor locations for the detection of radioactive plumes for Norway and the Balkans.“ In Proceedings of the International Conference on Radioecology & Environmental Radioactivity, Bd. 46 (6) aus Radioprotection, herausgegeben von J-C Barescut, D Lariviere und T Stocki. Les Ulis: EDP Sciences. doi: 10.1051/radiopro/20116628s.
Nüst, Daniel, Stasch, Christoph, und Pebesma, Edzer. . „Connecting R to the Sensor Web.“ In Advancing Geoinformation Science for a Changing World, Springer Lecture Notes in Geoinformation and Cartography, herausgegeben von S Geertman, W Reinhardt und F Toppen. Heidelberg: Springer.
Schwering, A., Pebesma, E., und Behnke, K., Hrsg. . ifgi prints no 41, Conference Proceedings Geoinformatik 2011, Berlin: Akademische Verlagsgesellschaft.
Helle, Kristina B., und Pebesma, Edzer. . „Conservative Updating of Sampling Designs.“ In Proceedings of the Ninth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, herausgegeben von Nicholas J. Tate und Peter F. Fisher.
Jirka, S, Bröring, A, und Nüst, D. . OGC Discussion Paper 09-112r1 - Sensor Observable Registry, Open Geospatial Consortium.
Gerharz, L., Pebesma, E., und Hecking, H. . „Visualizing uncertainty in spatio-temporal data.“ In Bd. null aus International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental SciencesN/A: Selbstverlag / Eigenverlag.
Helle, K., und Pebesma, E. . „Conservative updating of sampling designs.“ In Bd. null aus International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental SciencesN/A: Selbstverlag / Eigenverlag.
Gerharz, L, Pebesma, E, und Hecking, H. . „Visualizing uncertainty in spatio-temporal data.“ In Proceedings of the Ninth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, herausgegeben von NJ Tate und PF Fisher.
Houbie, F, Skivee, F, Robin, A, Jirka, S, Bröring, A, und Nüst, D. . OGC Discussion Paper 09-163 - OGC Catalogue Services Specification 2.0 - Extension Package for ebRIM Application Profile: SensorML, Open Geospatial Consortium.
Heuvelink, GBM, Musters, P, und Pebesma, EJ. . „Spatio-temporal kriging of soil water content.“ Geostatistics Wollongong 96 - Proceedings of the Fifth International Geostatistics Congress, Wollongong, Australia, September 1996: 1020–1030.
Henning, Teickner, Edzer, Pebesma, und Klaus-Holger, Knorr. . „A synthesis of Sphagnum litterbag experiments: initial leaching losses bias decomposition rate estimates.“ Biogeosciences, Nr. 22 (2): 417–433. doi: 10.5194/bg-22-417-2025.
Milà, C, Ludwig, M, Pebesma, E, Tonne, C, und Meyer, H. . „Random forests with spatial proxies for environmental modelling: opportunities and pitfalls.“ Geoscientific Model Development, Nr. 2024 (17): 6007–603. doi: 10.5194/gmd-17-6007-2024.
Pondi, Brian, und Pebesma, Edzer. . „Standardizing Machine Learning APIs for Earth Observation Data Cubes.“ Beitrag präsentiert auf der The 5th Spatial Data Science, Online doi: 10.5281/zenodo.13960237.
Ludwig, M, Moreno-Martinez, A, Hölzel, N, Pebesma, E, und Meyer, H. . „Assessing and improving the transferability of current global spatial prediction models.“ Global Ecology and Biogeography, Nr. 00: 1–13. doi: 10.1111/geb.13635.
Mogge, L, McDonald, M, Knoth, C, Teickner, H, Purevtseren, M, Pebesma, E, und Kraehnert, K. . „Allocation of humanitarian aid after a weather disaster.“ World Development, Nr. 166: 106204. doi: 10.1016/j.worlddev.2023.106204.
Heisig, J., Olson, E., und Pebesma, E. . „Predicting Wildfire Fuels and Hazard in a Central European Temperate Forest Using Active and Passive Remote Sensing.“ Fire, Nr. 5(1) (29) doi: 10.3390/fire5010029.
Mila, C, Mateu, J, Pebesma, E, und Meyer, H. . „Nearest neighbour distance matching leave-one-out cross-validation for map validation.“ Methods in Ecology and Evolution, Nr. 13: 1304–1316. doi: 10.1111/2041-210X.13851.
Meyer, H, und Pebesma, E. . „Machine learning-based global maps of ecological variables and the challenge of assessing them.“ Nature Communications, Nr. 13 doi: 10.1038/s41467-022-29838-9.
Ludwig, M, Bahlmann, J, Pebesma, E, und Meyer, H. . „Developing Transferable Spatial Prediction Models: a Case Study of Satellite Based Landcover Mapping.“ Beitrag präsentiert auf der ISPRS, Nice doi: 10.5194/isprs-archives-XLIII-B3-2022-135-2022.
Kleinewillinghöfer, L, Olofsson, P, Pebesma, E, Meyer, H, Buck, O, Haub, C, und Eiselt, B. . „Unbiased Area Estimation Using Copernicus High Resolution Layers and Reference Data.“ Remote Sensing, Nr. 14 (19): 4903. doi: 10.3390/rs14194903.
Heisig, Johannes, Olson, Edward, und Pebesma, Edzer. . „Predicting Wildfire Fuels and Hazard in a Central European Temperate Forest Using Active and Passive Remote Sensing.“ Fire, Nr. 5 (1) doi: 10.3390/fire5010029.
Meyer, H, und Pebesma, E. . „Predicting into unknown space? Estimating the area of applicability of spatial prediction models.“ Methods in Ecology and Evolution, Nr. 12: 1620–1633. doi: 10.1111/2041-210X.13650.
Meyer, H, und Pebesma, E. . „Estimating the Area of Applicability of Remote Sensing-Based Machine Learning Models with Limited Training Data.“ In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS doi: 10.1109/IGARSS47720.2021.9553999.
Nüst, Daniel, und Pebesma, Edzer. . „Practical reproducibility in geography and geosciences.“ Annals of the American Association of Geographers, Nr. 2020 doi: 10.1080/24694452.2020.1806028.
Teickner, H, Knoth, C, Bartoschek, T, Kraehnert, K, Vigh, M, Purevtseren, M, Sugar, M, und Pebesma, E. . „Patterns in Mongolian nomadic household movement derived from GPS trajectories.“ Applied Geography, Nr. 122 (September 2020): 102270. doi: 10.1016/j.apgeog.2020.102270.
Appel, Marius, und Pebesma, Edzer. . „Spatiotemporal multi-resolution approximations for analyzing global environmental data.“ Spatial Statistics, Nr. 38 doi: 10.1016/j.spasta.2020.100465.
Kray, C, Pebesma, E, Konkol, M, und Nüst, D. . „Reproducible Research in Geoinformatics: Concepts, Challenges and Benefits (Vision Paper).“ In 14th International Conference on Spatial Information Theory (COSIT 2019), Bd. 142 aus Leibniz International Proceedings in Informatics (LIPIcs), herausgegeben von S Timpf, C Schlieder, M Kattenbeck, B Ludwig und K Stewart. Wadern: Dagstuhl Publishing. doi: 10.4230/LIPIcs.COSIT.2019.8.
Appel, M, und Pebesma, E. . „On-Demand Processing of Data Cubes from Satellite Image Collections with the gdalcubes Library.“ Data, Nr. 4 (3) doi: 10.3390/data4030092.
Kraehnert, K, Vigh, M, Knoth, C, Teickner, H, Purevtseren, M, Sugar, M, und Pebesma, E. . „Herders Mobility GPS Tracking:Insights From Novel Trajectory Data.“ In Conférence internationale "Systèmes Complexes, Intelligence Territorialeet Mobilité", herausgegeben von P Sajous und C Bertelle.
Maus, V, Camara, G, Appel, M, und Pebesma, E. . „dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R.“ Journal of Statistical Software, Nr. 2019
Gupta, Shivam, Pebesma, Edzer, Mateu, Jorge, und Degbelo, Auriol. . „Air Quality Monitoring Network Design Optimisation for Robust Land Use Regression Models.“ Sustainability, Nr. 10 (5) doi: 10.3390/su10051442.
Gupta, ShivamMateu Jorge, und Degbelo, AuriolPebesma Edzer. . „Quality of life, big data and the power of statistics.“ Statistics and Probability Letters, Nr. 136 doi: 10.1016/j.spl.2018.02.030.
Lu, M, Appel, M, und Pebesma, E. . „Multidimensional Arrays for Analysing Geoscientific Data.“ ISPRS International Journal of Geo-Information, Nr. 7 (8) doi: 10.3390/ijgi7080313.
Ghosh, P., Lahn, F., Gebbert, S., Mohr, M., und Pebesma, E. . „Running user-defined functions in R on Earth observation data in cloud back-ends.“ Beitrag präsentiert auf der 10th Geomundus conference, Lisbon, Portugal
Pebesma, E, Appel, M, und Lahn, F. . „R vector and raster data cubes
for openEO.“ Beitrag präsentiert auf der EGU General Assembly 2018, Vienna, Austria
Pebesma, E, Wagner, W, Soille, P, Kadunc, M, Gorelick, N, Schramm, M, Verbesselt, J, Reiche, J, Appel, M, Dries, J, Jacob, A, Neteler, M, Gebbert, S, Briese, C, und Kempeneers, P. . „openEO:
an open API for cloud-based big Earth Observation processing platforms.“ Beitrag präsentiert auf der EGU General Assembly 2018, Vienna, Austria
Appel, MariusLahn Florian, und Buytaert, WouterPebesma Edzer. . „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, Nr. 138: 47–56. doi: 10.1016/j.isprsjprs.2018.01.014.
Knoth, C, Slimani, S, Appel, M, und Pebesma, E. . „Combining automatic and manual image analysis in a web-mapping
application for collaborative conflict damage assessment.“ Applied Geography, Nr. 97: 25–34. doi: 10.1016/j.apgeog.2018.05.016.
Lu, MengHamunyela Eliakim, und Verbesselt, JanPebesma Edzer. . „Dimension Reduction of Multi-Spectral Satellite Image Time Series to Improve Deforestation Monitoring.“ Remote Sensing, Nr. 9 (10) doi: 10.3390/rs9101025.
Konkol, Markus, Nüst, Daniel, Schutzeichel, Marc, Pebesma, Edzer, Kray, Christian, Przibytzin, Holger, und Lorenz, Jörg. . „Opening reproducible research (o2r).“ Beitrag präsentiert auf der Open Science Conference, Berlin, Germany
Shivam, gupta, Edzer, Pebesma, und Jorge, Mateu. . „Air quality monitoring network location optimization for robust Land Use Regression Model.“ Beitrag präsentiert auf der Spatial Statistics 2017: One World: One Health, LancasterElsevier.
Roy, A., und Pebesma, E. . „A machine learning approach to demographic prediction using geohashes.“ In Bd. null aus International Workshop on Social SensingNew York, NY: ACM Press. doi: 10.1145/3055601.3055603.
Mariethoz, G., und Pebesma, E. . „Nurturing a growing field: Computers & Geosciences.“ Computers and Geosciences, Nr. 107 (null): A1–A2. doi: 10.1016/j.cageo.2017.08.006.
Gebbert, S., und Pebesma, E. . „The GRASS GIS temporal framework.“ International Journal of Geographical Information Science, Nr. 31 (7): 1273–1292. doi: 10.1080/13658816.2017.1306862.
Sidhu, Nanki, Pebesma, Edzer, und Wang, Yi-Chen. . „Usability Study to Assess the IGBP Land Cover Classification for Singapore.“ Remote Sensing, Nr. 2017 (9(10), 1075) doi: 10.3390/rs9101075.
Lu, Meng, Appel, Marius, und Pebesma, Edzer. . „Modelling spatiotemporal change using multidimensional arrays.“ Beitrag präsentiert auf der EGU General Assembly 2017, Vienna, Austria
Appel, Marius, Nüst, Daniel, und Pebesma, Edzer. . „Reproducible Earth observation analytics: challenges, ideas, and a study case on containerized land use change detection.“ Beitrag präsentiert auf der EGU General Assembly 2017, Vienna, Austria
Nüst, D, Konkol, M, Pebesma, E, Kray, C, Schutzeichel, M, Przibytzin, H, und Lorenz, J. . „Opening the Publication Process with Executable Research Compendia.“ D-Lib Magazine, Nr. 23 doi: 10.1045/january2017-nuest.
Knoth, C, und Pebesma, E. . „Detecting dwelling destruction in Darfur through object-based change analysis of very high resolution imagery.“ International Journal of Remote Sensing, Nr. 38 (1): 273–295. doi: 10.1080/01431161.2016.1266105.
Appel, Marius, Lahn, Florian, Pebesma, Edzer, Buytaert, Wouter, und Moulds, Simon. . „Scalable Earth-observation Analytics for Geoscientists: Spacetime Extensions to the Array Database SciDB.“ Beitrag präsentiert auf der EGU General Assembly 2016, Vienna, Austria
Lu, Meng, Pebesma, Edzer, Sanshaz, Alber, und Verbesselt, Jan. . „Spatio-temporal change detection from multidimensionalarrays: Detecting deforestation from MODIS time series.“ ISPRS Journal of Photogrammetry and Remote Sensing, Nr. 117 (227-236)
Pebesma, E., Mailund, T., und Hiebert, J. . „Measurement units in R.“ R Journal, Nr. 8 (2): 490–498.
Gräler, B., Pebesma, E., und Heuvelink, G. . „Spatio-temporal interpolation using gstat.“ R Journal, Nr. 8 (1): 204–218.
Nüst, Daniel, Konkol, Markus, Pebesma, Edzer, Kray, Christian, Klötgen, Stephanie, Schutzeichel, Marc, Lorenz, Jörg, Przibytzin, Holger, und Kussmann, Dirk. . „Opening Reproducible Research.“ In Bd. 18 aus Geophysical Research Abstracts, herausgegeben von EuropeanGeophysicalUnion.
Scheider, S., Gräler, B., Pebesma, E., und Stasch, C. . „Modeling spatiotemporal information generation.“ International Journal of Geographical Information Science, Nr. null (null): 1–29. doi: 10.1080/13658816.2016.1151520.
Appel, Marius, Pebesma, Edzer, und Camara, Gilberto. . „Scalable In-Database Regression Analysis of Large Earth-Observation Datasets.“ Beitrag präsentiert auf der EO Open Science 2.0, Frascati, Italy
Pebesma, E., und R., BivandP.J. Ribeiro. . „Software for Spatial Statistics.“ Journal of Statistical Software, Nr. 63 (1)
Hengl, T., Roudier, P., Beaudette, D., und Pebesma, E. . „plotKML: Scientific Visualization of Spatio-Temporal Data.“ Journal of Statistical Software, Nr. 63 (5)
Hengl, T., Pebesma, E., und Hijmans, R. . „Spatial and spatio-temporal modeling of meteorological and climatic variables using Open Source software.“ Spatial Statistics, Nr. null (null) doi: 10.1016/j.spasta.2015.06.005.
Helle, K., und Pebesma, E. . „Optimising sampling designs for the maximum coverage problem of plume detection.“ Spatial Statistics, Nr. 13 (null): 21–44. doi: 10.1016/j.spasta.2015.03.004.
Lemke, D., Mattauch, V., Heidinger, O., Pebesma, E., und Hense, H. . „Comparing adaptive and fixed bandwidth-based kernel density estimates in spatial cancer epidemiology.“ International Journal of Health Geographics, Nr. 14 (1) doi: 10.1186/s12942-015-0005-9.
Meng, Lu, und Edzer, Pebesma. . „Spatio-temporal change modeling with array data.“ Beitrag präsentiert auf der EGU 2015, Vienna, Austria
Lu, M., Pebesma, E., Sanchez, A., und Verbesselt, J. . „Spatio-temporal change detection from multidimensional arrays: Detecting deforestation from MODIS time series.“ ISPRS Journal of Photogrammetry and Remote Sensing, Nr. null (null) doi: 10.1016/j.isprsjprs.2016.03.007.
Lemke, D., Berkemeyer, S., Mattauch, V., Heidinger, O., Pebesma, E., und Hense, H. . „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, Nr. 15 (1) doi: 10.1186/s12889-015-2520-9.
Skoien, J.O., Bloschl, G., Laaha, G., Pebesma, E., Parajka, J., und Viglione, A. . „rtop: An R package for interpolation of data with a variable spatial support, with an example from river networks.“ Computers and Geosciences, Nr. 67: 180–190. doi: 10.1016/j.cageo.2014.02.009.
Truong, P.N., Heuvelink, G.B.M., und Pebesma, E. . „Bayesian area-to-point kriging using expert knowledge as informative priors.“ International Journal of Applied Earth Observation and Geoinformation, Nr. 30 (1): 128–138. doi: 10.1016/j.jag.2014.01.019.
Jankowski, P., Fraley, G., und Pebesma, E. . „An exploratory approach to spatial decision support.“ Computers, Environment and Urban Systems, Nr. 45 (null): 101–113. doi: 10.1016/j.compenvurbsys.2014.02.008.
Knoth, C, und Pebesma, E. . „Detecting Destruction in Conflict Areas in Darfur.“ Beitrag präsentiert auf der GEOBIA 2014 - Geographic Object Based Image Analysis, Thessaloniki, Greece
Kilibarda, M, Hengl, T, Heuvelink, GBM, Gräler, B, Pebesma, E, Perčec, Tadić M, und Bajat, B. . „Spatio-temporal interpolation of daily temperatures for global land areas at 1 km resolution.“ Journal of Geophysical Research: Atmospheres, Nr. na doi: 10.1002/2013JD020803.
Gebbert, S., und Pebesma, E. . „A temporal GIS for field based environmental modeling.“ Environmental Modelling and Software, Nr. 53 (null): 1–12. doi: 10.1016/j.envsoft.2013.11.001.
Stasch, C., Scheider, S., Pebesma, E., und Kuhn, W. . „Meaningful spatial prediction and aggregation.“ Environmental Modelling and Software, Nr. 51 (null): 149–165. doi: 10.1016/j.envsoft.2013.09.006.
Stasch, C., Nüst, D., Rieke, M., Remke, A., und Pebesma, E. . „enviroCar – Open car data and open analysis tools for sustainable transportation development.“ Beitrag präsentiert auf der 2nd International Conference ICT for Sustainability, Stockholm, Schweden
Meng, Lu, und Edzer, Pebesma. . „Modeling change from large-scale high-dimensional spatio-temporal array data.“ Beitrag präsentiert auf der EGU 2014, Vienna, Austria
Gerharz, LE, und Pebesma, E. . „Using geostatistical simulation to disaggregate air quality model results for individual exposure estimation on GPS tracks.“ Stochastic Environmental Research and Risk Assessment, Nr. 27 (1): 223–234. doi: 10.1007/s00477-012-0578-9.
Bastin, L, Cornford, D, Jones, R, Heuvelink, GBM, Pebesma, E, Stasch, C, Nativi, S, Mazzetti, P, und Williams, M. . „Managing uncertainty in integrated environmental modelling: The UncertWeb framework.“ Environmental Modelling and Software, Nr. 39: 116–134.
Gerharz, LE, Klemm, O, Broich, AV, und Pebesma, E. . „Spatio-temporal modelling of individual exposure to air pollution and its uncertainty.“ Atmospheric Environment, Nr. 64: 56–65. doi: 10.1016/j.atmosenv.2012.09.069.
Brink, Juliane, und Pebesma, Edzer. . „Plume Tracking with a Mobile Sensor Based on Incomplete and Imprecise Information.“ Transactions in GIS, Nr. 2013 doi: 10.1111/tgis.12063.
Bivand, R., Pebesma, E., und Gómez-Rubio, V. . Applied Spatial Data Analysis with R: Second Edition,, herausgegeben von RogerBivand, EdzerPebesma und VirgilioGomez-Rubio. Heidelberg: Springer. doi: 10.1007/978-1-4614-7618-4.
Mello, M., Risso, J., Atzberger, C., Aplin, P., Pebesma, E., Vieira, C., und Rudorff, B. . „Bayesian networks for raster data (BayNeRD): Plausible reasoning from observations.“ Remote Sensing, Nr. 5 (11): 5999–6025. doi: 10.3390/rs5115999.
Diniz, L., Buurman, M., Andrade, P., Camara, G., und Pebesma, E. . „Measuring allocation errors in land change models in amazonia.“ In Bd. nullN/A: Selbstverlag / Eigenverlag.
Stasch, C., Pebesma, E., Graeler, B., und Gerharz, L. . „Error-aware spatio-temporal aggregation in the model web.“ In Bd. null aus AGILE Conference on Geographic Information ScienceDordrecht: Kluwer Academic. doi: 10.1007/978-3-319-00615-4_12.
Mello, M.P., Aguiar, D.A., Rudorff, B.F.T., Pebesma, E., Jones, J., und Santos, N.C.P. . „Spatial statistic to assess remote sensing acreage estimates: An analysis of sugarcane in São Paulo State, Brazil.“ In Bd. null doi: 10.1109/IGARSS.2013.6723768.
Lemke, D., Mattauch, V., Heidinger, O., Pebesma, E., und Hense, H.-W. . „Detecting cancer clusters in a regional population with local cluster tests and Bayesian smoothing Methods: A simulation study.“ International Journal of Health Geographics, Nr. null (null): 54. doi: 10.1186/1476-072X-12-54.
Hengl, T, Heuvelink, GBM, Tadić, MP, und Pebesma, EJ. . „Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images.“ Theoretical and Applied Climatology, Nr. 107 (1-2): 265–277. doi: 10.1007/s00704-011-0464-2.
Pebesma, E, Nüst, D, und Bivand, R. . „The R software environment in reproducible geoscientific research.“ Eos, Transactions American Geophysical Union, Nr. 93 (16): 163. doi: 10.1029/2012EO160003.
Senaratne, H, Gerharz, L, Pebesma, E, und Schwering, A. . „Usability of Spatio-Temporal Uncertainty Visualisation Methods.“ BRIDGING THE GEOGRAPHIC INFORMATION SCIENCES: 3–23. doi: 10.1007/978-3-642-29063-3_1.
Stasch, C, Foerster, T, Autermann, C, und Pebesma, E. . „Spatio-temporal aggregation of European air quality observations in the Sensor Web.“ Computers and Geosciences, Nr. 47: 111–118. doi: 10.1016/j.cageo.2011.11.008.
Heuvelink, GBM, Pebesma, E, und Stein, A. . „Spatial statistics for mapping the environment.“ The ITC Journal
Helle, K., und Pebesma, E. . „Stationary Sampling Designs Based on Plume Simulations.“ In Spatio-temporal Design: Advances in Efficient Data Acquisition, Bd. null , herausgegeben von JorgeMateu und WernerMueller. New York City: John Wiley & Sons. doi: 10.1002/9781118441862.ch14.
Schulz, M., Skøien, J., Gerharz, L., Dubois, G., und Pebesma, E. . „Uncertainty propagation between web services - A case study using the eHabitat WPS to identify unique ecosystems.“ In Bd. null
Pross, B., Gerharz, L., Stasch, C., und Pebesma, E. . „Tools for uncertainty propagation in the model web using Monte Carlo simulation.“ In Bd. null
Pebesma, E. . „spacetime: Spatio-Temporal Data in R.“ Journal of Statistical Software, Nr. 51 (7)
Helle, Kristina, und Pebesma, Edzer. . „Stationary Sampling Designs Based on Plume Simulations.“ In Spatio-Temporal Design, herausgegeben von Wiley. New York City: John Wiley & Sons. doi: 10.1002/9781118441862.ch14.
Pross, BenjaminGerharz Lydia, und Stasch, ChristophPebesma Edzer. . „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, herausgegeben von R Seppelt, A Voinov, S Lange und D Bankamp. Leipzig.
Gräler, Benedikt, Gerharz, Lydia, und Pebesma, Edzer. . „Spatio-temporal analysis and interpolation of PM10 measurements in Europe.“ online.
Nust, D, Stasch, C, und Pebesma, E. . „Connecting R to the Sensor Web.“ ADVANCING GEOINFORMATION SCIENCE FOR A CHANGING WORLD: 227–246. doi: 10.1007/978-3-642-19789-5_12.
Stein, A, Pebesma, E, und Heuvelink, G. . „Procedia Environmental Sciences: Editorial.“ Procedia Environmental Sciences, Nr. 3: 1. doi: 10.1016/j.proenv.2011.02.001.
Helle, KB, Urso, L, Astrup, P, Mikkelsen, T, Kaiser, JC, Pebesma, E, Rojas-Palma, C, Holo, E, Dyve, JE, und Raskob, W. . „Planning sensor locations for the detection of radioactive plumes for Norway and the Balkans *.“ Radioprotection, Nr. 46 (6 SUPPL.): S55–S61. doi: 10.1051/radiopro/20116628s.
Fritze, H, Stewart, IT, und Pebesma, E. . „Shifts in western North American snowmelt runoff regimes for the recent warm decades.“ Journal of Hydrometeorology, Nr. 12 (5): 989–1006. doi: 10.1175/2011JHM1360.1.
Baume, O, Skøien, JO, Heuvelink, GBM, Pebesma, EJ, und Melles, SJ. . „A geostatistical approach to data harmonization - Application to radioactivity exposure data.“ International Journal of Applied Earth Observation and Geoinformation, Nr. 13 (3): 409–419. doi: 10.1016/j.jag.2010.09.002.
Dubois, G, Cornford, D, Hristopulos, D, Pebesma, E, und Pilz, J. . „Introduction to this special issue on geoinformatics for environmental surveillance.“ Computers and Geosciences, Nr. 37 (3): 277–279. doi: 10.1016/j.cageo.2010.06.002.
Pebesma, E, Cornford, D, Dubois, G, Heuvelink, GBM, Hristopulos, D, Pilz, J, Stöhlker, U, Morin, G, und Skøien, JO. . „INTAMAP: The design and implementation of an interoperable automated interpolation web service.“ Computers and Geosciences, Nr. 37 (3): 343–352. doi: 10.1016/j.cageo.2010.03.019.
De Espindola, GM, De Aguiar, APD, Pebesma, E, Câmara, G, und Fonseca, L. . „Agricultural land use dynamics in the Brazilian Amazon based on remote sensing and census data.“ Applied Geography, Nr. 32 (2): 240–252.
Fairgrieve, S., Stasch, C., Falke, S., Gerharz, L., und Pebesma, E. . „Error aware near real-time interpolation of air quality observations in GEOSS.“ In Bd. 712
Schwering, A., Pebesma, E., und Behnke, K., Hrsg. . ifgi prints no 41, Conference Proceedings Geoinformatik 2011, Berlin: Akademische Verlagsgesellschaft.
Helle, Kristina BAstrup Poul, und Raskob, WolfgangPebesma Edzer. . „Comparison of Mapping Methods for Plumes Using Prior Knowledge from Simulations.“ In Proceedings of the Seventh International Symposium on Spatial Data Quality, herausgegeben von Cidalia C Fonte, LuisaGoncalves und GilGoncalves.
Helle, Kristina B., Urso, Laura, Astrup, Poul, Mikkelsen, Torben, Kaiser, Jan C., Pebesma, Edzer, Rojas-Palma, Carlos, Holo, Eldri, Dyve, Jan E., und Raskob, Wolfgang. . „Planning sensor locations for the detection of radioactive plumes for Norway and the Balkans.“ In Proceedings of the International Conference on Radioecology & Environmental Radioactivity, Bd. 46 (6) aus Radioprotection, herausgegeben von J-C Barescut, D Lariviere und T Stocki. Les Ulis: EDP Sciences. doi: 10.1051/radiopro/20116628s.
Gerharz, Lydia, Gräler, Benedikt, und Pebesma, Edzer. . „Disaggregating gridded air quality data for individual exposure modelling.“ Procedia Environmental Sciences, Nr. 7: 146–151. doi: 10.1016/j.proenv.2011.07.026.
Gräler, Benedikt, und Pebesma, Edzer. . „The pair-copula construction for spatial data: a new approach to model spatial dependency.“ Procedia Environmental Sciences, Nr. 7: 206–211. doi: 10.1016/j.proenv.2011.07.036.
Sluiter, R, und Pebesma, EJ. . „Comparing techniques for vegetation classification using multi- and hyperspectral images and ancillary environmental data.“ International Journal of Remote Sensing, Nr. 31 (23): 6143–6161. doi: 10.1080/01431160903401379.
Hiemstra, PH, Pebesma, EJ, Heuvelink, GBM, und Twenhöfel, CJW. . „Using rainfall radar data to improve interpolated maps of dose rate in the Netherlands.“ Science of the Total Environment, Nr. 409 (1): 123–133. doi: 10.1016/j.scitotenv.2010.08.051.
Skøien, JO, Baume, OP, Pebesma, EJ, und M, Heuvelink GB. . „Identifying and removing heterogeneities between monitoring networks.“ Environmetrics, Nr. 21 (1): 66–84.
de Nijs, T, und Pebesma, E. . „Estimating the influence of the neighbourhood in the development of residential areas in the Netherlands.“ Environment and Planning B: Planning and Design, Nr. 37 (1): 21–41.
Pebesma, E., Cornford, D., Nativi, S., und Stasch, C. . „The uncertainty enabled model web (UncertWeb).“ In Bd. 679
Helle, Kristina B., und Pebesma, Edzer. . „Conservative Updating of Sampling Designs.“ In Proceedings of the Ninth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, herausgegeben von Nicholas J. Tate und Peter F. Fisher.
Helle, Kristina B., und Pebesma, Edzer. . „Optimizing Spatio-Temporal Sampling Designs of Synchronous, Static, or Clustered Measurements.“ Beitrag präsentiert auf der European Geosciences Union General Assembly, Vienna
Gerharz, L., Pebesma, E., und Hecking, H. . „Visualizing uncertainty in spatio-temporal data.“ In Bd. null aus International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental SciencesN/A: Selbstverlag / Eigenverlag.
Helle, K., und Pebesma, E. . „Conservative updating of sampling designs.“ In Bd. null aus International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental SciencesN/A: Selbstverlag / Eigenverlag.
Gerharz, L, Pebesma, E, und Hecking, H. . „Visualizing uncertainty in spatio-temporal data.“ In Proceedings of the Ninth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, herausgegeben von NJ Tate und PF Fisher.
Hiemstra, PH, Pebesma, EJ, Twenhöfel, CJW, und Heuvelink, GBM. . „Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network.“ Computers and Geosciences, Nr. 35 (8): 1711–1721. doi: 10.1016/j.cageo.2008.10.011.
Beelen, R, Hoek, G, Pebesma, E, Vienneau, D, de Hoogh, K, und Briggs, DJ. . „Mapping of background air pollution at a fine spatial scale across the European Union.“ Science of the Total Environment, Nr. 407 (6): 1852–1867. doi: 10.1016/j.scitotenv.2008.11.048.
E.J., Pebesma. . „How we build geostatistical models and deal with their output.“ In Interfacing Geostatistics and GIS, Bd. null , herausgegeben von Springer. Düsseldorf: Springer VDI Verlag. doi: 10.1007/978-3-540-33236-7_1.
Dubois, G., De Jesus, J., Doherty, B., Cornford, D., und Pebesma, E. . „Lessons learned from INTAMAP, an interoperable web service for the real-time interpolation of environmental variables.“ In Bd. null
Gerharz, L, und Pebesma, E. . „Usability of interactive and non-interactive visualisation of uncertain geospatial information.“ In Geoinformatik 2009 Konferenzband, Bd. 35 aus ifgiprints, herausgegeben von W Reinhardt, A Krüger und M Ehlers.
Skøien, JO, Pebesma, EJ, und Blöschl, G. . „Geostatistics for automatic estimation of environmental variables-some simple solutions.“ Georisk, Nr. 2 (4): 257–270.
ter, Braak C JF, Brus, DJ, und Pebesma, EJ. . „Comparing sampling patterns for kriging the spatial mean temporal trend.“ Journal of Agricultural, Biological, and Environmental Statistics, Nr. 13 (2): 159–176.
Bivand, R, Pebesma, E, und Gomez-Rubio, V. . UseR!, Applied Spatial Data Analysis with R, Düsseldorf: Springer VDI Verlag.
Pebesma, Edzer, Bishr, Mohammed, und Bartoschek, Thomas, Hrsg. . ifgiPrints, Bd. 32, Proceedings of the 6th Geographic Information Days, 400. Aufl. N/A: unbekannt / n.a. / unknown.
Addink, EA, De Jong, SM, und Pebesma, EJ. . „The importance of scale in object-based mapping of vegetation parameters with hyperspectral imagery.“ Photogrammetric Engineering and Remote Sensing, Nr. 73 (8): 905–912.
Pebesma, EJ, de Jong, K, und Briggs, D. . „Interactive visualization of uncertain spatial and spatio-temporal data under different scenarios: An air quality example.“ International Journal of Geographical Information Science, Nr. 21 (5): 515–527. doi: 10.1080/13658810601064009.
Pebesma, EJ, Switzer, P, und Loague, K. . „Error analysis for the evaluation of model performance: Rainfall-runoff event summary variables.“ Hydrological Processes, Nr. 21 (22): 3009–3024. doi: 10.1002/hyp.6529.
Schuurmans, JM, Bierkens, MFP, Pebesma, EJ, und Uijlenhoet, R. . „Automatic prediction of high-resolution daily rainfall fields for multiple extents: The potential of operational radar.“ Journal of Hydrometeorology, Nr. 8 (6): 1204–1224. doi: 10.1175/2007JHM792.1.
Dubois, G, Pebesma, EJ, und Bossew, P. . „Automatic mapping in emergency: A geostatistical perspective.“ International Journal of Emergency Management, Nr. 4 (3): 455–467. doi: 10.1504/IJEM.2007.014297.
EJ, Pebesma. . „The role of external variables and GIS databases in geostatistical analysis.“ Transactions in GIS, Nr. 10 (4): 615–632. doi: 10.1111/j.1467-9671.2006.01015.x.
Pebesma, E., Karssenberg, D., und De Jong, K. . „Dynamic visualisation of spatial and spatio-temporal probability distribution functions.“ In Bd. null aus International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental SciencesN/A: Selbstverlag / Eigenverlag.
Pebesma, EJ, Duin, RNM, und Burrough, PA. . „Mapping sea bird densities over the North Sea: Spatially aggregated estimates and temporal changes.“ Environmetrics, Nr. 16 (6): 573–587. doi: 10.1002/env.723.
EJ, Pebesma. . „Mapping radioactivity from monitoring data: Automating the classical geostatistical approach.“ Applied GIS, Nr. 1 (2)
Pebesma, EJ, Switzer, P, und Loague, K. . „Error analysis for the evaluation of model performance: Rainfall-runoff event time series data.“ Hydrological Processes, Nr. 19 (8): 1529–1548. doi: 10.1002/hyp.5587.
EJ, Pebesma. . „Multivariable geostatistics in S: The gstat package.“ Computers and Geosciences, Nr. 30 (7): 683–691. doi: 10.1016/j.cageo.2004.03.012.
Pfeffer, K, Pebesma, EJ, und Burrough, PA. . „Mapping alpine vegetation using vegetation observations and topographic attributes.“ Landscape Ecology, Nr. 18 (8): 759–776. doi: 10.1023/B:LAND.0000014471.78787.d0.
De Jong, SM, Pebesma, EJ, und Lacaze, B. . „Above-ground biomass assessment of Mediterranean forests using airborne imaging spectrometry: The DAIS Peyne experiment.“ International Journal of Remote Sensing, Nr. 24 (7): 1505–1520.
Van Horssen, PW, Pebesma, EJ, und Schot, PP. . „Uncertainties in spatially aggregated predictions from a logistic regression model.“ Ecological Modelling, Nr. 154 (1-2): 93–101.
Kros, J, Mol-Dijkstra, JP, und Pebesma, EJ. . „Assessment of the prediction error in a large-scale application of a dynamic soil acidification model.“ Stochastic Environmental Research and Risk Assessment, Nr. 16 (4): 279–306.
De Wit, MJM, und Pebesma, EJ. . „Nutrient fluxes at the river basin scale. II: The balance between data availability and model complexity.“ Hydrological Processes, Nr. 15 (5): 761–775.
Thorsen, M, Refsgaard, J, Hansen, S, Pebesma, E, Jensen, J, und Kleeschulte, S. . „Assessment of uncertainty in simulation of nitrate leaching to aquifers at catchment scale.“ Journal of Hydrology, Nr. 242 (3–4): 210–227. doi: 10.1016/S0022-1694(00)00396-6.
Heuvelink, GBM, Musters, P, und Pebesma, EJ. . „Spatio-temporal kriging of soil water content.“ Geostatistics Wollongong 96 - Proceedings of the Fifth International Geostatistics Congress, Wollongong, Australia, September 1996: 1020–1030.
Heuvelink, GBM, und Pebesma, EJ. . „Spatial aggregation and soil process modelling.“ Geoderma, Nr. 89 (1-2): 47–65. doi: 10.1016/S0016-7061(98)00077-9.
Pebesma, EJ, und Heuvelink, GBM. . „Latin hypercube sampling of Gaussian random fields.“ Technometrics, Nr. 41 (4): 303–312. doi: 10.1080/00401706.1999.10485930.
Kros, J, Pebesma, EJ, Reinds, GJ, und Finke, PA. . „Uncertainty assessment in modelling soil acidification at the European scale: A case study.“ Journal of Environmental Quality, Nr. 28 (2): 366–377. doi: 10.2134/jeq1999.00472425002800020002x.
Finke, PA, Wladis, D, Kros, J, Pebesma, EJ, und Reinds, GJ. . „Quantification and simulation of errors in categorical data for uncertainty analysis of soil acidification modelling.“ Geoderma, Nr. 93 (3-4): 177–194. doi: 10.1016/S0016-7061(99)00056-7.
Pebesma, EJ, und Wesseling, CG. . „Gstat: A program for geostatistical modelling, prediction and simulation.“ Computers and Geosciences, Nr. 24 (1): 17–31. doi: 10.1016/S0098-3004(97)00082-4.
Pebesma, EJ, und de Kwaadsteniet, J. . „Mapping groundwater quality in the Netherlands.“ Journal of Hydrology, Nr. 200 (1–4): 364–386. doi: 10.1016/S0022-1694(97)00027-9.
Publikationen
Schumacher, F, Knoth, C, Ludwig, M, und Meyer, H. . „Estimation of local training data point densities to support the assessment of spatial prediction uncertainty.“ EGUsphere doi: 10.5194/egusphere-2024-2730.
Mogge, L, McDonald, M, Knoth, C, Teickner, H, Purevtseren, M, Pebesma, E, und Kraehnert, K. . „Allocation of humanitarian aid after a weather disaster.“ World Development, Nr. 166: 106204. doi: 10.1016/j.worlddev.2023.106204.
Teickner, H, Knoth, C, Bartoschek, T, Kraehnert, K, Vigh, M, Purevtseren, M, Sugar, M, und Pebesma, E. . „Patterns in Mongolian nomadic household movement derived from GPS trajectories.“ Applied Geography, Nr. 122 (September 2020): 102270. doi: 10.1016/j.apgeog.2020.102270.
Kraehnert, K, Vigh, M, Knoth, C, Teickner, H, Purevtseren, M, Sugar, M, und Pebesma, E. . „Herders Mobility GPS Tracking:Insights From Novel Trajectory Data.“ In Conférence internationale "Systèmes Complexes, Intelligence Territorialeet Mobilité", herausgegeben von P Sajous und C Bertelle.
Knoth, C, Slimani, S, Appel, M, und Pebesma, E. . „Combining automatic and manual image analysis in a web-mapping
application for collaborative conflict damage assessment.“ Applied Geography, Nr. 97: 25–34. doi: 10.1016/j.apgeog.2018.05.016.
Knoth, C, und Nüst, D. . „Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers.“ Remote Sensing, Nr. 9 (3) doi: 10.3390/rs9030290.
Knoth, C, und Pebesma, E. . „Detecting dwelling destruction in Darfur through object-based change analysis of very high resolution imagery.“ International Journal of Remote Sensing, Nr. 38 (1): 273–295. doi: 10.1080/01431161.2016.1266105.
Knoth, Christian, und Nüst, Daniel. . „Enabling Reproducible OBIA with Open-Source Software in Docker Containers.“ Beitrag präsentiert auf der GEOBIA 2016: Solutions & Synergies, Enschede, The Netherlands doi: 10.3990/2.456.
Knoth, C, und Pebesma, E. . „Detecting Destruction in Conflict Areas in Darfur.“ Beitrag präsentiert auf der GEOBIA 2014 - Geographic Object Based Image Analysis, Thessaloniki, Greece
García, Millán V E, Müterthies, A, Pakzad, K, Teuwsen, S, Benecke, N, Zimmermann, K, Kateloe, H, Preuße, A, Helle, K, und Knoth, C. . „GMES4Mining: GMES-based Geoservices for Mining Areas.“ Markscheidewesen, Nr. 120 (3): 17–24.
Knoth, C, Klein, B, Prinz, T, und Kleinebecker, T. . „Unmanned Aerial Vehicles as innovative remote sensing platforms for high-resolution infrared imagery to support restoration monitoring in cut-over bogs.“ Applied Vegetation Science, Nr. 16 (3): 509–517. doi: 10.1111/avsc.12024.
Knoth, C, Klein, B, Kleinebecker, T, Prinz, T, und Sieg, B. . „UAV-Based Close Range Remote Sensing as a Monitoring Tool for the Restoration of Bog Ecosystems.“ In Proceedings of the Joint Meeting of Society of Wetland Scientists, WETPOL and Wetland Biogeochemistry Symposium 2011
Geipel, J, Knoth, C, Elsässer, O, und Prinz, T. . „DGPS- and INS-Based Orthophotogrammetry on Micro UAV Platforms for Precision Farming Services.“ In Proceedings of the GEOINFORMATIK 2011 – GEOCHANGE
Knoth, C, Prinz, T, und Loef, P. . „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
Nüst, D, Eddelbuettel, D, Bennett, D, Cannoodt, R, Clark, D, Daroczi, G, Edmondson, M, Fay, C, Hughes, E, Lopp, S, Marwick, B, Nolis, H, Nolis, J, Ooi, H, Ram, K, Ross, N, Shepherd, L, Turaga, N, Willis, C, Xiao, N, und Petegem, CV. . The Rockerverse: Packages and Applications for Containerization with R, arXiv.
Eglen, Stephen, und Nüst, Daniel. . „CODECHECK: An open-science initiative to facilitate sharing of computer programs and results presented in scientific publications.“ Beitrag präsentiert auf der The 14th Munin Conference on Scholarly Publishing 2019, UiT The Arctic University of Norway, Tromsø, Norway doi: 10.7557/5.4910.
Nüst, D, und Hinz, M. . „containerit: Generating Dockerfiles for reproducible research with R.“ Journal of Open Source Software, Nr. 4 (40): 1603. doi: 10.21105/joss.01603.
Nüst, D, Ostermann, FO, Sileryte, R, Hofer, B, Granell, C, Teperek, M, Graser, A, Broman, K, und Hettne, K. . AGILE Reproducible Paper Guidelines, OSF. doi: 10.17605/OSF.IO/CB7Z8.
