Population Prediction

Population prediction aims to forecast population size, distribution, and characteristics, informing crucial decisions in urban planning, resource allocation, and public health. Current research emphasizes improving prediction accuracy through advanced machine learning techniques, such as deep learning (including convolutional and graph convolutional networks) and ensemble methods like random forests, often incorporating diverse data sources like remote sensing imagery, census data, and socio-economic indicators. These advancements address biases in existing methods and enhance the reliability of predictions, ultimately leading to more effective policymaking and resource management.