Conversely, stations with high temporal variability (Std_PM25: r = −0.86) and reconstruction errors (Full_Compression_MAE: r = −0.859) showed reduced advantages for full compression, though these correlations did not reach statistical significance (p > 0.05).
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DynamicSeq2SeqXGB for PM2.5 imputation in extremely sparse environmental monitoring networks.
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Performance magnitude analysis demonstrated substantial and practically significant advantages across the network.