Mr Agung Wahyudi
Postdoctoral Research Fellow
School of Earth and Environmental Sciences
+61 7 336 53535
Journal Articles
Wahyudi, Agung (2018) Understanding vertical urban development in changing the spatial movement of residents using agent-based modelling approach. Journal of Regional and City Planning, 29 2: 127-134. doi:10.5614/jrcp.2018.29.2.4
Wahyudi, Agung, Liu, Yan and Corcoran, Jonathan (2018) Combining Landsat and landscape metrics to analyse large-scale urban land cover change: a case study in the Jakarta Metropolitan Area. Journal of Spatial Science, . doi:10.1080/14498596.2018.1443849
Wahyudi, Agung and Liu, Yan (2016) Cellular automata for urban growth modelling: a review on factors defining transition rules. International Review for Spatial Planning and Sustainable Development, 4 2: 60-75. doi:10.14246/irspsd.4.2_60
Wahyudi, Agung and Liu, Yan (2015) Spatial dynamic models for inclusive cities: A brief concept of Cellular Automata (CA) and Agent-based model (ABM). Journal of Regional and City Planning, 26 1: 54-70.
Conference Papers
Wahyudi, Agung, Liu, Yan and Corcoran, Jonathan (2015). Modelling the spatial decisions of private developers: a case study of Jakarta Metropolitan Area, Indonesia. In: Joseph Ferreira Jr. and Robert Goodspeed, Proceedings of CUPUM 2015: The 14th International Conference on Computers in Urban Planning and Urban Management. International Conference on Computers in Urban Planning and Urban Management, Cambridge, MA, United States, (245.1-245.18). 7-10 July 2015.
Wahyudi, Agung and Liu, Yan (2013). Cellular automata for urban growth modeling: a chronological review on transition rules. In: Proceedings of the 13rd International Conference on Computers in Urban Planning and Urban Management. 13rd International Conference on Computers in Urban Planning and Urban Management, Utrecht, The Netherlands, (). 2-5 July 2013.
Thesis
Wahyudi, Agung (2017). Modelling urban growth: Integrating both physical and human dimensions in developing world context PhD Thesis, School of Geography, Planning & Env Management, The University of Queensland. doi:10.14264/uql.2017.498