Partial validation of cellular automata based model simulations of urban growth: An approach to assessing factor influence using spatial methods

Integrated modelling of urban spatial development under uncertain climate futures: A case study in Hungary

“…We firstly compared the key model outputs, i.e., extents of land cover classes and populations of age groups in the capital, towns and villages. Then, following suggestions by (Barreira González et al, 2015), further comparisons were made at the cell level for (i) cell-to-cell agreements, and (ii) the shape, fragmentation and heterogeneity of projections on both urban land cover and population distributions. A detailed explanation of the settings for the analysis and selection of matrices for spatial comparisons is provided in the Electronic Supplementary Materials 3.…”

Integrated modeling in urban hydrology: reviewing the role of monitoring technology in overcoming the issue of ‘big data’ requirements

“…Data informing cellular automata models are often, and increasingly, based on remote sensing (RS), i.e., satellite imagery. Current developments are prominently geared toward containing and unravelling the inherent complexity of cellular automata, through sensitivity analysis and validation, and the development of methods for estimation/calibration . Calibrating land‐use change models requires reasonable baseline data, against which model outputs can be trained.…”

“…Current developments are prominently geared toward containing and unravelling the inherent complexity of cellular automata, through sensitivity analysis and validation, 105 and the development of methods for estimation/ calibration. [106][107][108] Calibrating land-use change models requires reasonable baseline data, against which model outputs can be trained. The advance in urban RS technologies and postcapture processing computing has enabled the rapid proliferation of land-use data at increasingly high resolutions.…”

Assessment of urban pluvial flood risk and efficiency of adaptation options through simulations – A new generation of urban planning tools

“…Further, the effect of, e.g., zoning policies can directly be modelled in an easily understandable manner. The agent-based approach was therefore preferred over the raster based black box methods applied in most other hydrological studies considering urban development or land use change (Barreira González et al, 2015;Hoymann, 2010;Muis et al, 2015;Poelmans and Van Rompaey, 2010;Sekovski et al, 2015). In line with a general development in the field of urban modelling (Batty, 2009), the purpose of this setup is not to predict future developments, but to perform exploratory analysis and to support dialogue between stakeholders.…”