Research Projects

The recent thrust on urban growth modelling using geospatial data and techniques are- i) to implement cellular automata (CA) based models to simulate urban growth in Indian cities, ii) to evaluate the efficacy of Artificial Neural Networks (ANN) in formation of transition rules for CA based modelling and its comparison with the traditional Multi-Criteria Evaluation (MCE) based CA model, iii) to investigate the effects of different neighbourhood sizes and neighbourhood types in calibration of CA based models, iv) to evaluate the performance of CA based models using Moran, Percent Correct Match and Shannon’s Entropy and v) to generate ANN based urban growth zonation maps depicting zones of urban growth potential.