Publicaties
2025
Wetenschappelijke publicaties
Magán da Fonseca, M., Verstegen, J., & Völker, S. (2025). Geographisch differenzierte Risikofaktoren für Typ-2-Diabetesprävalenz in Westfalen-Lippe. Standort. Advance online publication. [DOI]
Gérard, T. M. R., Norder, S. J., Verstegen, J. A., Doelman, J. C., Dekker, S. C., & van der Hilst, F. (2025). Trade‐Offs and Synergies Between Climate Change Mitigation, Biodiversity Preservation, and Agro‐Economic Development Across Future Land‐Use Scenarios in Brazil. Global Change Biology, 31(8), Article e70418. [DOI] [Portal]
Krasnodębska, K., Goch, W., Uhl, J. H., Verstegen, J. A., & Pesaresi, M. (2025). Advancing Precision, Recall, F-score, and Jaccard Index: An Approach for Continuous, Ratio-scale Measurements. Environmental Modelling and Software, 193, Article 106614. [DOI]
Verstegen, J. A. (2025). Geo-information methods to study food production systems. In Reference Module in Food Science Elsevier Saunders. [DOI]
Marçal Russo, L., Dane, G., Helbich, M., Ligtenberg, A., Filomena, G., Janssen, C. P., Koeva, M., Nourian, P., Patuano, A., Raposo, P., Thompson, K., Yang, S., & Verstegen, J. A. (2025). Do urban digital twins need agents? Environment and Planning B: Urban Analytics and City Science. Advance online publication. [DOI]
2024
Wetenschappelijke publicaties
de Mooij, J., Sonnenschein, T., Pellegrino, M., Dastani, M., Ettema, D., Logan, B., & Verstegen, J. A. (2024). GenSynthPop: generating a spatially explicit synthetic population of individuals and households from aggregated data. Autonomous Agents and Multi-Agent Systems, 38(2), Article 48. [DOI] [Portal]
Karic, B., Stenkamp, J., Brüggemann, M., Schröder, S., Kray, C., & Verstegen, J. (2024). Collecting Data in an Immersive Video Environment to Set up an Agent-Based Model of Pedestrians’ Compliance with COVID-Related Interventions. Journal of Artificial Societies and Social Simulation, 27(2), Article 5. [DOI] [Repository]
2023
Wetenschappelijke publicaties
Verstegen, J. A., & Rorato, A. C. (2023). Mining requests in Brazil’s Indigenous Lands finally removed, but the battle continues. Environmental Research Letters, 18(10), Article 101003. [DOI] [Repository]
Hildemann, M. J., Murray, A. T., & Verstegen, J. A. (2023). Genetic Programming for Computationally Efficient Land Use Allocation Optimization. In R. Beecham, J. A. Long, D. Smith, Q. Zhao, & S. Wise (Eds.), 12th International Conference on Geographic Information Science (GIScience 2023) Article 4 (Leibniz International Proceedings in Informatics, LIPIcs; Vol. 277). Dagstuhl Publishing. [DOI] [Repository]
Verstegen, J., & Scheider, S. (2023). Why the term prediction is overused. In Spatial Data Science Symposium 2023 Short Paper Proceedings UC Santa Barbara: Center for Spatial Studies. [DOI] [Repository]
Scheider, S., Bartholomeus, H., & Verstegen, J. (2023). ChatGPT is not a pocket calculator: Problems of AI-chatbots for teaching Geography. arXiv. [DOI] [Repository]
Hildemann, M., Pebesma, E., & Verstegen, J. A. (2023). Multi-objective Allocation Optimization of Soil Conservation Measures Under Data Uncertainty. Environmental Management, 72(5), 959–97. [DOI] [Repository]
Stenkamp, J., Karic, B., Scharf, P., Verstegen, J. A., & Kray, C. (2023). Using an Immersive Video Environment to Assess Pedestrians’ Compliance With COVID Distance Keeping Interventions. Interacting with Computers, 35(5), 628–636. [DOI] [Repository]
Hildemann, M., & Verstegen, J. A. (2023). 3D-flight route optimization for air-taxis in urban areas with Evolutionary Algorithms and GIS. Journal of Air Transport Management, 107, 1-13. Article 102356. [DOI] [Repository]
2022
Wetenschappelijke publicaties
Janowicz, K., Zhu, R., Verstegen, J., Mckenzie, G., Martins, B., & Cai, L. (2022). Six GIScience Ideas That Must Die. AGILE: GIScience Series, 3, 1-8. Article 7. [DOI] [Repository]
Verstegen, J. A., & Goch, K. (2022). Pattern-oriented calibration and validation of urban growth models: Case studies of Dublin, Milan and Warsaw. Land Use Policy, 112, Article 105831. [DOI] [Repository]
Rorato, A. C., Escada, M. I. S., Camara, G., Picoli, M. C. A., & Verstegen, J. A. (2022). Environmental vulnerability assessment of Brazilian Amazon Indigenous Lands. Environmental Science and Policy, 129, 19-36. [DOI] [Repository]
Filomena, G., Kirsch, L., Schwering, A., & Verstegen, J. A. (2022). Empirical characterisation of agents’ spatial behaviour in pedestrian movement simulation. Journal of Environmental Psychology, 82, Article 101807. [DOI] [Repository]
2021
Wetenschappelijke publicaties
Filomena, G., & Verstegen, J. A. (2021). Modelling the effect of landmarks on pedestrian dynamics in urban environments. Computers, Environment and Urban Systems, 86, Article 101573. [DOI] [Repository]
Rorato, A. C., Picoli, M. C. A., Verstegen, J. A., Camara, G., Silva bezerra, F. G., & Escada, M. I. S. (2021). Environmental Threats over Amazonian Indigenous Lands. Land, 10(3), Article 267. [DOI] [Repository]
Janowicz, K., & Verstegen, J. (2021). 11th International Conference on Geographic Information Science (GIScience 2021) - Part II. Leibniz International Proceedings in Informatics (LIPIcs). [DOI]
Ruijsch, J., Verstegen, J. A., Sutanudjaja, E. H., & Karssenberg, D. (2021). Systemic change in the Rhine-Meuse basin: Quantifying and explaining parameters trends in the PCR-GLOBWB global hydrological model. Advances in Water Resources, 155, 1-15. Article 104013. [DOI] [Repository]
Hildemann, M., & Verstegen, J. A. (2021). Quantifying uncertainty in Pareto fronts arising from spatial data. Environmental Modelling and Software, 141, 1-12. Article 105069. [DOI] [Repository]
2020
Wetenschappelijke publicaties
Stepanov, O., Câmara, G., & Verstegen, J. A. (2020). Quantifying the Effect of Land Use Change Model Coupling. Land, 9(2), Article 52. [DOI] [Repository]
Rorato, A. C., Camara, G., Escada, M. I. S., Picoli, M. C. A., Moreira, T., & Verstegen, J. A. (2020). Brazilian amazon indigenous peoples threatened by mining bill. Environmental Research Letters, 15(10), Article 1040a3. [DOI] [Repository]
Janowicz, K., & Verstegen, J. (2020). 11th International Conference on Geographic Information Science (GIScience 2021) -Part I. Leibniz International Proceedings in Informatics (LIPIcs). [DOI]
Filomena, G., Manley, E., & Verstegen, J. A. (2020). Perception of urban subdivisions in pedestrian movement simulation. PLoS One, 15(12), Article e0244099. [DOI] [Repository]
Watson, L., Straatsma, M. W., Wanders, N., Verstegen, J. A., De Jong, S. M., & Karssenberg, D. (2020). Global ecosystem service values in climate class transitions. Environmental Research Letters, 15(2), Article 024008. [DOI] [Repository]
2019
Wetenschappelijke publicaties
Filomena, G., Verstegen, J. A., & Manley, E. (2019). A computational approach to ‘The Image of the City’. Cities, 89, 14-25. [DOI] [Repository]
Filomena, G., Manley, E., & Verstegen, J. A. (2019). Route choice through regions by pedestrian agents. In S. Timpf, C. Schlieder, M. Kattenbeck, B. Ludwig, & K. Stewart (Eds.), 14th International Conference on Spatial Information Theory, COSIT 2019 (Vol. 142). Article 5 (LIPIcs - Leibniz International Proceedings in Informatics; Vol. 142). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. [DOI] [Repository]
Moncada, J. A., Verstegen, J. A., Posada, J. A., Junginger, M., Lukszo, Z., Faaij, A., & Weijnen, M. (2019). Exploring the emergence of a biojet fuel supply chain in Brazil: An agent-based modeling approach. GCB Bioenergy, 11(6), 773-790. [DOI] [Repository]
Verstegen, J. A., van der Laan, C., Dekker, S. C., Faaij, A. P. C., & Santos, M. J. (2019). 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] [Repository]
2018
Wetenschappelijke publicaties
Moncada, J. A., Verstegen, J. A., Posada, J. A., Junginger, M., Lukszo, Z., Faaij, A., & Weijnen, M. (2018). 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] [Repository]
van der Laan, C., Budiman, A., Verstegen, J. A., Dekker, S. C., Effendy, W., Faaij, A. P. C., Kusuma, A. D., & Verweij, P. A. (2018). Analyses of land cover change trajectories leading to tropical forest loss: Illustrated for the West Kutai and MahakamUlu Districts, East Kalimantan, Indonesia. Land, 7(3), Article 108. [DOI] [Repository]
van der Hilst, F., Verstegen, J. A., Woltjer, G., Smeets, E. M. W., & Faaij, A. P. C. (2018). Mapping land use changes resulting from biofuel production and the effect of mitigation measures. GCB Bioenergy, 10(11), 804-824. [DOI] [Repository]
2017
Wetenschappelijke publicaties
Verstegen, J. A., Jonker, J. G. G., Karssenberg, D., van der Hilst, F., Schmitz, O., de Jong, S. M., & Faaij, A. P. C. (2017). How a Pareto frontier complements scenario projections in land use change impact assessment. Environmental Modelling and Software, 97, 287-302. [DOI] [Repository]
Duden, A. S., Verweij, P. A., Junginger, H. M., Abt, R. C., Henderson, J. D., Dale, V. H., Kline, K. L., Karssenberg, D., Verstegen, J. A., Faaij, A. P. C., & van der Hilst, F. (2017). Modeling the impacts of wood pellet demand on forest dynamics in southeastern United States. Biofuels, Bioproducts and Biorefining, 11(6), 1007-1029. [DOI] [Repository]
2016
Wetenschappelijke publicaties
Goh, C. S., Wicke, B., Verstegen, J., Faaij, A., & Junginger, M. (2016). 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. [DOI] [Repository]
Verstegen, J. A., Karssenberg, D., van der Hilst, F., & Faaij, A. P. C. (2016). Detecting systemic change in a land use system by Bayesian data assimilation. Environmental Modelling and Software, 75, 424-438. [DOI] [Repository]
Jonker, J. G. G., Junginger, H. M., Verstegen, J. A., Lin, T., Rodríguez, L. F., Ting, K. C., Faaij, A. P. C., & van der Hilst, F. (2016). Supply chain optimization of sugarcane first generation and eucalyptus second generation ethanol production in Brazil. Applied Energy, 173, 494-510. [DOI] [Repository]
Verstegen, J. A. (2016). Quantifying and reducing uncertainty in land use change model projections: Case studies on the implications of increasing bioenergy demands. [Doctoral thesis 1 (Research UU / Graduation UU), Universiteit Utrecht]. Utrecht University. [Repository]
Verstegen, J. A., van der Hilst, F., Woltjer, G., Karssenberg, D., de Jong, S. M., & Faaij, A. P. C. (2016). What can and can't we say about indirect land-use change in Brazil using an integrated economic - land-use change model? GCB Bioenergy [E], 8(3), 561-578. [DOI] [Repository]
2015
Wetenschappelijke publicaties
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. G., Rose, S. N. K., Smeets, E. M. W., Stehfest, E., Tyner, W. E., Verstegen, J. A., ... Faaij, A. P. C. (2015). Model collaboration for the improved assessment of biomass supply, demand, and impacts. GCB Bioenergy [E], 7(3), 422-437. [DOI] [Repository]
Overige resultaten
Verstegen, J. A., van der Hilst, F., & Karssenberg, D. J. (2015). A framework to assess model structure stationarity. 42-45. Abstract from the 13th International Conference of GeoComputation, Dallas, United States. [Repository]
2014
Wetenschappelijke publicaties
Diogo, V., van der Hilst, F., van Eijck, J., Faaij, A., Verstegen, J., Hilbert, J., Carballo, S., & Volante, J. (2014). Combining emperical and theory-based land use modelling approaches to assess future availability of land and economic potential for sustainable biofuel production: Argentina as a case study. Renewable and Sustainable Energy Reviews, 34, 208-224. [DOI]
van der Hilst, F., Verstegen, J. A., Zheliezna, T., Drozdova, O., & Faaij, A. P. C. (2014). 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]
Verstegen, J. A., Karssenberg, D. J., van der Hilst, F., & Faaij, A. (2014). Identifying a land use change cellular automaton by Bayesian data assimilation. Environmental Modelling and Software, 53, 121-136. [DOI] [Repository]
Overige resultaten
van der Laan, C., Budiman, A., Verstegen, J. A., Effendi, W., Dekker, S. C., & Verweij, P. A. (2014). Unravelling land use change processes in West Kutai Regency in the lowlands of East Kalimantan, Indonesian Borneo. Abstract from Spatial Ecology and Conservation, Birmingham, United Kingdom.
Verstegen, J. (2014). Future land use in Brazil under increasing demand for bioenergy. Poster session presented at BE-Basic Symposium, Noordwijkerhout, Netherlands. [Repository]
van der Laan, C., Budiman, A., Verstegen, J., Effendy, W., Dekker, S., & Verweij, P. (2014). Unraveling land use change processes in West Kutai Regency in the lowlands of East Kalimantan, Indonesian Borneo. 1. Poster session presented at Spatial Ecology and Conservation, Birmingham, United Kingdom.
Verstegen, J., Karssenberg, D., van der Hilst, F., & Faaij, A. (2014). Systemic change increases model projection uncertainty. Geophysical Research Abstracts, 16, Article EGU2014-10454. http://adsabs.harvard.edu/abs/2014EGUGA..1610454V [Repository]
Verstegen, J., van der Hilst, F., Karssenberg, D., & Faaij, A. (2014). Integrated assessment of future land use in Brazil under increasing demand for bioenergy. Geophysical Research Abstracts, 16, Article EGU2014-11133. http://adsabs.harvard.edu/abs/2014EGUGA..1611133V [Repository]
2013
Vakpublicaties
van der Hilst, F., van Eijck, J. A. J., Verstegen, J. A., Diogo, V., Batidzirai, B., & Faaij, A. (2013). Global Assessments and Guidelines for Sustainable Liquid Biofuel Production in Developing Countries. Impacts of Scale up of biofuel production case studies: Mozambique, Argentina and Ukraine. UNEP, GEF, UNIDO, and FAO. [Repository]
Overige resultaten
van der Hilst, F., Verstegen, J. A., Karssenberg, D., & Faaij, A. (2013). Uncertainty assessment of future land use in Brazil under increasing demand for bioenergy. GC42A-02. Abstract from American Geophysical Union, Fall Meeting 2013, San Francisco, United States. http://adsabs.harvard.edu/abs/2013AGUFMGC42A..02V
Verstegen, J. A., Karssenberg, D., van der Hilst, F., & Faaij, A. (2013). Systemic change increases forecast uncertainty of land use change models. GC31B-1037. Abstract from American Geophysical Union, Fall Meeting 2013, San Francisco, United States. http://adsabs.harvard.edu/abs/2013AGUFMGC31B1037V
Verstegen, J. A. (2013). regional Biomass Resources Availability and Dynamics. Poster session presented at BE-Basic Symposium, Noordwijkerhout, Netherlands.
Verstegen, J. A., Karssenberg, D. J., van der Hilst, F., & Faaij, A. P. C. (2013). Systemic change increases forecast uncertainty of land use change models. Poster session presented at AGU Fall Meeting 2013, San Francisco, California, United States.
2012
Wetenschappelijke publicaties
Verstegen, J. A., Karssenberg, D. J., van der Hilst, F., & Faaij, A. P. C. (2012). 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] [Repository]
van der Hilst, F., Verstegen, J. A., Karssenberg, D. J., & Faaij, A. P. C. (2012). Spatiotemporal land use modelling to assess land availability for energy crops – illustrated for Mozambique. GCB Bioenergy [E], 4(6), 859-874. [DOI] [Repository]
Overige resultaten
Verstegen, J. A., & Karssenberg, D. J. (2012). Identifying transition rules in a cellular automaton by sequential assimilation of observations. 105-114. Abstract from Unknown event. http://www.camuss.dec.uc.pt/
2011
Overige resultaten
van der Hilst, F., Verstegen, J. A., Karssenberg, D. J., & Faaij, A. P. C. (2011). Spatial modelling of land availability for biomass resources. 235-237. Abstract from 19th European Biomass Conference and Exhibition. From Research to Industry and Markets, Berlin. [DOI]
Verstegen, J. A., van der Hilst, F., Karssenberg, D. J., & Faaij, A. (2011). Communicating uncertainty in spatial decision support systems - a case study of bioenergy-crop potentials in Mozambique. Geophysical Research Abstracts, 13(EGU2011-8339). [Repository]