Mitgliedschaften und Aktivitäten in Gremien
Projekte
- Distance-Keeping: Influence of the StreetScape – Dist-KISS ()
Gefördertes Einzelprojekt: VolkswagenStiftung - Corona Crisis and Beyond – Perspectives for Science, Scholarship and Society | Förderkennzeichen: 99 714 - Future land-use-change induced subsidence in the Mekong delta ()
Eigenmittelprojekt - Land Change Science Education – LCS ()
Gefördertes Einzelprojekt: Universität Utrecht - Land use change impacts of increased bioenergy demand in Brazil – FAPESP SPRINT 2016/50495-4 ()
Eigenmittelprojekt
Publikationen
Auswahl
- Verstegen, J., van, der Laan C., Dekker, S., Faaij, A., und Santos, M. . „Recent and projected impacts of land use and land cover changes on carbon stocks and biodiversity in East Kalimantan, Indonesia.“ Ecological Indicators 103: 563–575. doi: 10.1016/j.ecolind.2019.04.053.
- Filomena, G., Verstegen, J., und Manley, E. . „A computational approach to The Image of the City.“ Cities 89: 14–25. doi: 10.1016/j.cities.2019.01.006.
- Verstegen, J.A., Jonker, J.G.G., Karssenberg, D., van, der Hilst F., Schmitz, O., de, Jong S.M., und Faaij, A.P.C. . „How a Pareto frontier complements scenario projections in land use change impact assessment.“ Environmental Modelling & Software 97: 287–302. doi: 10.1016/j.envsoft.2017.08.006.
- Verstegen, J.van der Hilst F., Woltjer, G.Karssenberg D., und de Jong S., Faaij A. . „What can and can't we say about indirect land-use change in Brazil using an integrated economic - land-use change model?“ GCB Bioenergy 8 (3): 561–578. doi: 10.1111/gcbb.12270.
- Verstegen, J.Karssenberg D., und van der Hilst F., Faaij A. . „Detecting systemic change in a land use system by Bayesian data assimilation.“ Environmental Modelling and Software 75 (null): 424–438. doi: 10.1016/j.envsoft.2015.02.013.
- Verstegen, J.Karssenberg D., und van der Hilst F., Faaij A. . „Identifying a land use change cellular automaton by Bayesian data assimilation.“ Environmental Modelling and Software 53 (null): 121–136. doi: 10.1016/j.envsoft.2013.11.009.
- Verstegen, J.Karssenberg D., und Van der Hilst F., Faaij A. . „Spatio-temporal uncertainty in Spatial Decision Support Systems: A case study of changing land availability for bioenergy crops in Mozambique.“ Computers, Environment and Urban Systems 36 (1): 30–42. doi: 10.1016/j.compenvurbsys.2011.08.003.
Gesamtliste
- Hildemann, Moritz, und Verstegen, Judith A. . „Quantifying uncertainty in Pareto fronts arising from spatial data.“ Environmental Modelling and Software 141 (105069). doi: 10.1016/j.envsoft.2021.105069.
- Filomena, G., und Verstegen, J.A. . „Modelling the effect of landmarks on pedestrian dynamics in urban environments.“ Computers, Environment and Urban Systems 86: 101573.. doi: 10.1016/j.compenvurbsys.2020.101573.
- Filomena, G., Manley, E., und Verstegen, J.A. . „Perception of urban subdivisions in pedestrian movement simulation.“ PloS one 15 (12): e0244099.. doi: 10.1371/journal.pone.0244099.
- Rorato, A.C., Camara, G., Escada, M., Picoli, M., Moreira, T., und Verstegen, J.A. . „Brazilian Amazon indigenous peoples threatened by mining bill.“ Environmental Research Letters 15 (10). doi: 10.1088/1748-9326/abb428.
- Stepanov, O., Câmara, G., und Verstegen, J.A. . „Quantifying the Effect of Land Use Change Model Coupling.“ Land 9 (52). doi: 10.3390/land9020052.
- Shankar, S., Roth, M., Schubert, L.A., und Verstegen, J.A. . „Automatic Mapping of Center Line of Railway Tracks using Global Navigation Satellite System, Inertial Measurement Unit and Laser Scanner.“ Remote Sensing 12 (3): 411. doi: 10.3390/rs12030411.
- Verstegen, J.A. . „Spatial Optimization - The local versus global food debate.“ Nature Food 1: 198–199. doi: 10.1038/s43016-020-0062-5.
- Watson, L., Straatsma, M., Wanders, N., Verstegen, J.A., de, Jong S., und Karssenberg, D. . „Global ecosystem service values in climate class transitions.“ Environmental Research Letters 15 (2). doi: 10.1088/1748-9326/ab5aab.
- Janowicz, K., Verstegen, und J.A., Hrsg. . 11th International Conference on Geographic Information Science (GIScience 2021) - Part I Dagstuhl Publishing. doi: 10.4230/LIPIcs.GIScience.2021.I.0.
- Lechler, S., Picoli, M.C.A., Soares, A.R., Sanchez, A., Chaves, M.E.D., und Verstegen, J.A. . „Exploring NASA's harmonized Landsat and Sentinel-2 (HLS) dataset to monitor deforestation in the Amazon rainforest.“ In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences doi: 10.5194/isprs-archives-XLIII-B3-2020-705-2020.
- Filomena, G., Manley, E., und Verstegen, J.A. . „Route Choice Through Regions by Pedestrian Agents.“ 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. Dagstuhl, Germany: Dagstuhl Publishing. doi: 10.4230/LIPIcs.COSIT.2019.5.
- Verstegen, J.A. . „A plea for statistical analyses of geosimulation model projections.“ Beitrag präsentiert auf der Spatial Data Science symposium, Santa Barbara, USA
- Verstegen, J., van, der Laan C., Dekker, S., Faaij, A., und Santos, M. . „Recent and projected impacts of land use and land cover changes on carbon stocks and biodiversity in East Kalimantan, Indonesia.“ Ecological Indicators 103: 563–575. doi: 10.1016/j.ecolind.2019.04.053.
- Filomena, G., Verstegen, J., und Manley, E. . „A computational approach to The Image of the City.“ Cities 89: 14–25. doi: 10.1016/j.cities.2019.01.006.
- Moncada, J., Verstegen, J., Posada, J., Junginger, M., Lukszo, Z., Faaij, A., und Weijnen, M. . „Exploring the emergence of a biojet fuel supply chain in Brazil: an agent‐based modeling approach.“ Global Change Biology Bioenergy 00: 1–18. doi: 10.1111/gcbb.12594.
- van, der Hilst F., Verstegen, J., Woltjer, G., Smeets, E., und Faaij, A. . „Mapping land use changes resulting from biofuel production and the effect of mitigation measures.“ Global Change Biology Bioenergy x. doi: 10.1111/gcbb.12534.
- Filomena, G., und Verstegen, J.A. . „Mental representation of space in Agent Based Models for pedestrian movement in urban environments: A conceptual model.“ Beitrag präsentiert auf der The 21st AGILE Conference on Geographic Information Science, Lund, Sweden
- Moncada, J., Verstegen, J., Posada, J., Junginger, M., Lukszo, Z., Faaij, A., und Weijnen, M. . „Exploring policy options to spur the expansion of ethanol production and consumption in Brazil: An agent-based modeling approach.“ Energy Policy 123: 619–641. doi: 10.1016/j.enpol.2018.09.015.
- van, der Laan C., Budiman, A., Verstegen, J., Dekker, S., Effendy, W., Faaij, A., Kusuma, A., und Verweij, P. . „Analyses of Land Cover Change Trajectories Leading to Tropical Forest Loss: Illustrated for the West Kutai and Mahakam Ulu Districts, East Kalimantan, Indonesia.“ Land 7 (3). doi: 10.3390/land7030108.
- Watson, L., Straatsma, M., Wanders, N., Verstegen, J.A., de, Jong S.M., und Karssenberg, D. im Druck. „Spatial Evaluation of Global Climate Class Transitions and Ecosystem Service Values.“ Beitrag präsentiert auf der The 9th Ecosystem Services Partnership (ESP9) conference, Shenzhen, China
- Verstegen, J.A., Jonker, J.G.G., Karssenberg, D., van, der Hilst F., Schmitz, O., de, Jong S.M., und Faaij, A.P.C. . „How a Pareto frontier complements scenario projections in land use change impact assessment.“ Environmental Modelling & Software 97: 287–302. doi: 10.1016/j.envsoft.2017.08.006.
- Duden, A.S., Verweij, P.A., Junginger, M., Abt, R.C., Henderson, J.D., Dale, V.H., Kline, K.L., Karssenberg, D., Verstegen, J.A., Faaij, A.P.C., und van, der Hilst F. . „Modeling the impacts of wood pellet demand on forest dynamics in southeastern United States.“ Biofuels, Bioproducts and Biorefining 11 (6): 1007–1029.. doi: 10.1002/bbb.1803.
- Verstegen, J., Hillen, F., und Kray, C. . „A framework to monitor, model, and actively manage crowd behaviour.“ Beitrag präsentiert auf der The 20th AGILE Conference on Geographic Information Science, Wageningen, The Netherlands
- Verstegen, J.A., van, der Hilst F., und Karssenberg, D. . „Locating the position of a scenario projection in solution space.“ Beitrag präsentiert auf der The 20th AGILE Conference on Geographic Information Science, Wageningen, The Netherlands
- Verstegen, Judith. . „Quantifying and reducing uncertainty in land use change model projections - Case studies on the implications of increasing bioenergy demands.“ Dissertationsschrift, Utrecht University.
- Goh, C.S., Wicke, B., Verstegen, J., Faaij, A., und Junginger, M. . „Linking carbon stock change from land-use change to consumption of agricultural products: A review with Indonesian palm oil as a case study.“ Journal of Environmental Management 184 (2): 340–352. doi: 10.1016/j.jenvman.2016.08.055.
- Verstegen, J.van der Hilst F., Woltjer, G.Karssenberg D., und de Jong S., Faaij A. . „What can and can't we say about indirect land-use change in Brazil using an integrated economic - land-use change model?“ GCB Bioenergy 8 (3): 561–578. doi: 10.1111/gcbb.12270.
- Jonker, J., Junginger, H., Verstegen, J., Lin, T., Rodríguez, L., Ting, K., Faaij, A., und van, der Hilst F. . „Supply chain optimization of sugarcane first generation and eucalyptus second generation ethanol production in Brazil.“ Applied Energy 173 (null): 494–510. doi: 10.1016/j.apenergy.2016.04.069.
- Verstegen, J.Karssenberg D., und van der Hilst F., Faaij A. . „Detecting systemic change in a land use system by Bayesian data assimilation.“ Environmental Modelling and Software 75 (null): 424–438. doi: 10.1016/j.envsoft.2015.02.013.
- Wicke, B., van, der Hilst F., Daioglou, V., Banse, M., Beringer, T., Gerssen-Gondelach, S., Heijnen, S., Karssenberg, D., Laborde, D., Lippe, M., van, Meijl H., Nassar, A., Powell, J., Prins, A., Rose, S., Smeets, E., Stehfest, E., Tyner, W., Verstegen, J., Valin, H., van, Vuuren D., Yeh, S., und Faaij, A. . „Model collaboration for the improved assessment of biomass supply, demand, and impacts.“ GCB Bioenergy 7 (3): 422–437. doi: 10.1111/gcbb.12176.
- Van, der Hilst F., Verstegen, J., Zheliezna, T., Drozdova, O., und Faaij, A. . „Integrated spatiotemporal modelling of bioenergy production potentials, agricultural land use, and related GHG balances; demonstrated for Ukraine.“ Biofuels, Bioproducts and Biorefining 8 (3): 391–411. doi: 10.1002/bbb.1471.
- Verstegen, J.Karssenberg D., und van der Hilst F., Faaij A. . „Identifying a land use change cellular automaton by Bayesian data assimilation.“ Environmental Modelling and Software 53 (null): 121–136. doi: 10.1016/j.envsoft.2013.11.009.
- Diogo, V., Van, Der Hilst F., Van, Eijck J., Verstegen, J., Hilbert, J., Carballo, S., Volante, J., und Faaij, A. . „Combining empirical and theory-based land-use modelling approaches to assess economic potential of biofuel production avoiding iLUC: Argentina as a case study.“ Renewable and Sustainable Energy Reviews 34 (null): 208–224. doi: 10.1016/j.rser.2014.02.040.
- van der Hilst, Floor, van Eijck, Janske, Verstegen, Judith, Diogo, Vasco, Batidzirai, Bothwell, und Faaij, André. . „Impacts of Biofuel Production, Case Studies: Mozambique, Argentina and Ukraine – Final Report.“ Utrecht, The Netherlands: UNIDO and GEF.
- Verstegen, J.Karssenberg D., und Van der Hilst F., Faaij A. . „Spatio-temporal uncertainty in Spatial Decision Support Systems: A case study of changing land availability for bioenergy crops in Mozambique.“ Computers, Environment and Urban Systems 36 (1): 30–42. doi: 10.1016/j.compenvurbsys.2011.08.003.
- Van, der Hilst F., Verstegen, J., Karssenberg, D., und Faaij, A. . „Spatiotemporal land use modelling to assess land availability for energy crops - illustrated for Mozambique.“ GCB Bioenergy 4 (6): 859–874. doi: 10.1111/j.1757-1707.2011.01147.x.