📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Calibration of cellular automata urban growth models from urban genesis onwards - a novel application of Markov chain Monte Carlo approximate Bayesian computation (2021)

First Author: Yu J

Attributed to: A Bayesian approach to complex land use change modelling funded by UKRI

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.compenvurbsys.2021.101689

Publication URI: http://dx.doi.org/10.1016/j.compenvurbsys.2021.101689

Type: Journal Article/Review

Parent Publication: Computers, Environment and Urban Systems