… The contrary of a compact city is a dispersed and fragmented city; its shape is very far from
the circular model as a consequence of important zones of non-urban areas (bodies of water, …

… , Geographic Information System, and Bayesian networks are combined. Using proposed …
can be implemented in urban areas. The success probability of decarbonizing these areas was …

… Therefore, this paper attempts to apply the Bayesian Networks Model (BNM) to evaluate
urban underground space resources (UUSR). The study area is divided into discrete evaluation …

… Bayesian networks (BNs) coupled with agent-based modeling. The BNAS model, integrated
Bayesian network–… The simulation results identify feasible new urban areas for development …

… pile-sheets in dense urban areas cannot overlook a proper … , based on the employment of
Bayesian networks. The proposed … of the site, a Bayesian network is able to update the model’s …

… A total of 178 variables were simultaneously integrated within a Bayesian model at intra-urban
scale. Various unsupervised and supervised algorithms (maximum spanning tree, tree-…

… observed in urban areas, also known as the Urban Heat … -based white-box Bayesian
network model that predicts UHI … Bayesian network models. Third, the performance of the four …

… Bayesian Network (BN) approach to model the probabilistic nature of rain patterns in urban
areas … hybrid structure learning algorithms of Bayesian Network including the techniques of …

… techniques, such as Bayesian Networks with an optimized … ) at very local scale of an urban
region with up to 85% accuracy. … This study focuses on the optimisation of Bayesian Networks …

… and data, and Section 3 illustrates the proposed method for urban land use extraction. …
Study area and data The study area is an urban area located in Wuhan, the capital of Hubei …