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ORCIDE. Emiel van Loon
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- affiliation: University of Amsterdam, Institute of Biodiversity and Ecosystem Dynamics (IBED)
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2020 – today
- 2024
[j9]Uta Berger
, Andrew R. Bell, C. Michael Barton, Émile J. L. Chappin, Gunnar Dreßler, Tatiana Filatova, Thibault Fronville, Allen Lee, Emiel van Loon, Iris Lorscheid, Matthias Meyer, Birgit Müller, Cyril Piou, Viktoriia Radchuk, Nicholas Roxburgh, Lennart Schüler, Christian Troost, Nanda Wijermans, Timothy G. Williams, Marie-Christin Wimmler, Volker Grimm:
Towards reusable building blocks for agent-based modelling and theory development. Environ. Model. Softw. 175: 106003 (2024)- [i8]Fiona Lippert, Bart Kranstauber, Patrick Forré, E. Emiel van Loon:
Towards detailed and interpretable hybrid modeling of continental-scale bird migration. CoRR abs/2407.10259 (2024) - 2023
- [j8]Christoph Schaller, Christian Ginzler, Emiel van Loon, Christine Moos, Arie C. Seijmonsbergen, Luuk Dorren:
Improving country-wide individual tree detection using local maxima methods based on statistically modeled forest structure information. Int. J. Appl. Earth Obs. Geoinformation 123: 103480 (2023) - [c4]Fiona Lippert, Bart Kranstauber, Emiel van Loon, Patrick Forré:
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems. NeurIPS 2023 - [d1]Johannes De Groeve, Marco Salvatori, Emiel van Loon, Bernard De Baets, Nicolas Morellet, Stefano Focardi, Nadège C. Bonnot, Benedikt Gehr, Matteo Griggio, Marco Heurich, Max Kroeschel, Alain Licoppe, Paul Moorcroft, Luca Pedrotti, Johannes Signer, Nico Van de Weghe, Francesca Cagnacci:
Data from: Day versus night use of forest by red and roe deer as determined by Corine Land Cover and Copernicus Tree Cover Density: assessing use of geographic layers in movement ecology. Zenodo, 2023
- [i7]Fiona Lippert, Bart Kranstauber, E. Emiel van Loon, Patrick Forré:
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems. CoRR abs/2306.08445 (2023) - 2022
- [i6]Fiona Lippert, Bart Kranstauber, E. Emiel van Loon, Patrick Forré:
Physics-informed inference of aerial animal movements from weather radar data. CoRR abs/2211.04539 (2022) - 2021
- [j7]Daniel Ayllón, Steven F. Railsback, Cara Gallagher, Jacqueline Augusiak, Hans Baveco, Uta Berger, Sandrine Charles, Romina Martin, Andreas Focks, Nika Galic, Chun Liu, E. Emiel van Loon, Jacob Nabe-Nielsen, Cyril Piou, J. Gareth Polhill, Thomas G. Preuss, Viktoriia Radchuk, Amelie Schmolke, Volker Grimm:
Keeping modelling notebooks with TRACE: Good for you and good for environmental research and management support. Environ. Model. Softw. 136: 104932 (2021) - [j6]Kasper Abcouwer, Emiel van Loon:
Library inventory using a RFID wand: contribution of tag and book specific factors on the read rate. Libr. Hi Tech 39(2): 368-379 (2021)
2010 – 2019
- 2019
- [j5]Maximilian Konzack, Pieter Gijsbers, Ferry Timmers, Emiel van Loon, Michel A. Westenberg, Kevin Buchin:
Visual exploration of migration patterns in gull data. Inf. Vis. 18(1) (2019) - 2017
- [c3]Aidan Slingsby, Emiel van Loon:
Visual Characterisation of Temporal Occupancy for Movement Ecology. EnvirVis@EuroVis 2017: 13-17 - 2016
- [j4]Aidan Slingsby, E. Emiel van Loon:
Exploratory Visual Analysis for Animal Movement Ecology. Comput. Graph. Forum 35(3): 471-480 (2016) - 2015
- [j3]Urska Demsar, Kevin Buchin, E. Emiel van Loon, Judy Shamoun-Baranes:
Stacked space-time densities: a geovisualisation approach to explore dynamics of space use over time. GeoInformatica 19(1): 85-115 (2015) - 2013
- [c2]Aidan Slingsby, Emiel van Loon:
Visual Analytics for Exploring Changes in Biodiversity. EnvirVis@EuroVis 2013 - 2012
- [j2]Lourens E. Veen, Guido B. A. van Reenen, F. P. Sluiter, E. Emiel van Loon, Willem Bouten:
A semantically integrated, user-friendly data model for species observation data. Ecol. Informatics 8: 1-9 (2012) - [i5]Joachim Gudmundsson, Patrick Laube, E. Emiel van Loon:
Representation, Analysis and Visualization of Moving Objects (Dagstuhl Seminar 12512). Dagstuhl Reports 2(12): 89-106 (2012) - 2010
- [e1]Jörg-Rüdiger Sack, Bettina Speckmann, E. Emiel van Loon, Robert Weibel:
Representation, Analysis and Visualization of Moving Objects, 05.12. - 10.12.2010. Dagstuhl Seminar Proceedings 10491, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2010 [contents] - [i4]Emiel van Loon, Ross Purves, Robert Weibel:
10491 Results of the break-out group: Benchmarking. Representation, Analysis and Visualization of Moving Objects 2010 - [i3]Emiel van Loon, Jörg-Rüdiger Sack, Kevin Buchin, Maike Buchin, Mark de Berg, Marc J. van Kreveld, Joachim Gudmundsson, David M. Mountain:
10491 Results of the break-out group: Gulls Data. Representation, Analysis and Visualization of Moving Objects 2010 - [i2]Jörg-Rüdiger Sack, Bettina Speckmann, E. Emiel van Loon, Robert Weibel:
10491 Abstracts Collection - Representation, Analysis and Visualization of Moving Objects. Representation, Analysis and Visualization of Moving Objects 2010 - [i1]Jörg-Rüdiger Sack, Bettina Speckmann, Emiel van Loon, Robert Weibel:
10491 Summary - Representation, Analysis and Visualization of Moving Objects. Representation, Analysis and Visualization of Moving Objects 2010
2000 – 2009
- 2008
- [c1]Tomislav Hengl, E. Emiel van Loon, Henk Sierdsema, Willem Bouten:
Advancing Spatio-temporal Analysis of Ecological Data: Examples in R. ICCSA (1) 2008: 692-707 - 2007
- [j1]Gerard B. M. Heuvelink, James D. Brown, E. Emiel van Loon:
A probabilistic framework for representing and simulating uncertain environmental variables. Int. J. Geogr. Inf. Sci. 21(5): 497-513 (2007)
Coauthor Index
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