Future Predictions refer to the process of forecasting or anticipating events, trends, or outcomes that may occur in the future based on current data, patterns, and analysis. This concept is often applied in various fields, including science, economics, technology, climate studies, and social sciences. Methods for making future predictions can include statistical modeling, extrapolation of current trends, scenario planning, and the use of algorithms and machine learning. The aim is to provide insights that can inform decision-making, strategic planning, and risk management. Future predictions can vary in specificity and time frame, ranging from short-term forecasts (days or months ahead) to long-term projections (years or decades). While future predictions offer valuable guidance, they are inherently uncertain and subject to change due to unforeseen circumstances or new developments.
IIT Roorkee's predictive model uses Cellular Automata and Geographic Information Systems to analyze urban growth. The model examines urban sprawl in cities like Ahmedabad, Chennai, Jaipur, and Surat over two…