Research on spatiotemporal evolution patterns and driving mechanisms of material cultural heritage based on machine learning
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Research is being conducted on the spatiotemporal evolution patterns and driving mechanisms of various topics, including material cultural heritage, intangible cultural heritage, ecological security, and habitat quality, using machine learning and other methods. The studies appear to be focused on different regions in China, such as Southeast Coastal China, Shanxi Province, and the Loess Plateau. The specific topics and regions being studied vary, but they all seem to involve analyzing patterns and drivers of change over time and space.
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