GIS Cellular Automata Using Artificial Neural Network for Land Use Change Simulation of Lagos, Nigeria

Stochastic GIS cellular automata for land use change simulation: application of a kernel based model

scour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network

today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...

Integrating cellular automata Markov model to simulate future land use change of a tropical basin

Predicting land use change is an indispensable aspect in identifying the best development and management of land resources and their potential. This study used certified land-use maps of 1997, 2006, and 2015 combined with ancillary data such as road networks, water bodies and slopes, obtained from the Department of Agriculture and the Department of Surveying and Mapping in Malaysia, respectivel...

Urban Simulation Using Neural Networks and Cellular Automata for Land Use Planning

The paper presents a method for integrating neural networks, GIS and Cellular Automata (CA) that can be used in land use planning for simulating alternative development patterns according to different planning objectives. Neural networks are used to simplify model structures and facilitate the determination of parameter values. Unlike traditional CA models, the proposed model does not require u...

Simulation and prediction of land use and land cover change using GIS, remote sensing and CA-Markov model

This study analyzes the characteristics of land use/land cover change in Jordan’s Irbid governorate, 1984–2018, and predicts future land use/land cover for 2030 and 2050 using a cellular automata-Markov model. The results inform planners and decision makers of past and current spatial dynamics of land use/land cover change and predicted urban expansion, for a better understanding and successful...