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This study predicts the emergence state, date, time period and function of urban hotspots and also compares the performance of different data sources (numerical data, digital map vector data, remote s...ensing raster map data) combined with different algorithms (regression model, random forest and convolution neural network) in urban hotspot prediction. The results illustrate that the combinations of different data sources and algorithms have different prediction accuracy in various scenarios. This study provides guidance for urban hotspot prediction under different scenarios and objectives.続きを見る
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