The author earlier conducted a research, attempting to make two models, one for understanding, monitoring and describing settlement patterns in metropolitan regions, dependant primarily on remotely sensed data; and the second, for predicting settlement patterns in such regions, using National Capital Region (NCR), of Delhi, India, as a case study. As part of the model, a transferable approach o...

In the analysis and design of municipal solid waste (MSW) landfills, there are many uncertainties associated with the properties of MSW during and after MSW placement. Several studies are performed involving different laboratory and field tests to understand the complex behavior and properties of MSW, and based on these studies, different models are proposed for the analysis of time dependent s...

The significant objective of this paper is to describe how Cellular Automata (CA) can be used to predict land use land change in the settlement growth and show the advantage of integrating the Neural Network with CA. Cellular automata have been utilized as a prediction technique in the study of an impressively wide range of dynamic phenomena. A spatial simulation model comprises an assortment o...