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Spatio-Temporal Simulation of Future Urban Growth Trends Using An Integrated CA-Markov Model by guvendiseydanur is a document available to read on EtoBox.

This study employs a CA-Markov model to predict urban growth trends in Seremban, Malaysia, analyzing land-use changes from 1984 to 2010. The model demonstrated an 83% accuracy in predicting future urban expansion for 2020 and 2030, highlighting its effectiveness in urban planning. The research integrates remote sensing and GIS techniques to enhance understanding of urban dynamics and support sustainable development policies.

Author
guvendiseydanur
Language
EN